ORCID Profile
0000-0002-0945-2674
Current Organisations
Vrije Universiteit Amsterdam
,
University of Adelaide
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Electrical and Electronic Engineering | Other Electronic Engineering | Photonics and Electro-Optical Engineering (excl. Communications) | Interdisciplinary Engineering Not Elsewhere Classified | Communications Technologies | Functional Materials | Interdisciplinary Engineering not elsewhere classified | Integrated Circuits | Biosensor Technologies | Engineering/Technology Instrumentation | Materials Engineering | Biomedical Engineering Not Elsewhere Classified | Interdisciplinary Engineering | Biomedical Engineering | Physical Chemistry (Incl. Structural) | Nanomaterials | Materials Engineering Not Elsewhere Classified | Microwave and Millimetrewave Theory and Technology | Nanotechnology | Physical Chemistry of Materials | Chemical Spectroscopy | Condensed Matter Physics | Microelectronics and Integrated Circuits | Biological Mathematics | Finance | Information Systems | Information Engineering and Theory | Medical Physics | Biological Physics | Optical Physics Not Elsewhere Classified | Biophysics | Stochastic Analysis And Modelling | Physical Chemistry not elsewhere classified | Nanotechnology | Mechanical Engineering | Electrical Engineering | Other Engineering | Communications Technologies Not Elsewhere Classified | Biomedical Engineering not elsewhere classified | Medical Biotechnology Diagnostics (incl. Biosensors) | Astronomical and Space Instrumentation | Biomedical Instrumentation | Biomechanical Engineering | Numerical Analysis | Structural Chemistry and Spectroscopy | Image Processing | Electrical and Electronic Engineering not elsewhere classified | Banking, Finance and Investment | Microelectromechanical Systems (MEMS) | Engineering Instrumentation | Surfaces and Structural Properties of Condensed Matter | Antennas and Propagation | Nanobiotechnology | Condensed Matter Characterisation Technique Development | Satellite Communications | Nanofabrication, Growth and Self Assembly
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Engineering | Expanding Knowledge in the Physical Sciences | Integrated Circuits and Devices | Medical instrumentation | Scientific instrumentation | Biological sciences | Physical sciences | Medical Instruments | Emerging Defence Technologies | Skin and related disorders | Integrated systems | Expanding Knowledge in Technology | Diagnostic Methods | Combined operations | Chemical sciences | Finance and investment services | Clinical health not specific to particular organs, diseases and conditions | Integrated Systems | Computer hardware and electronic equipment not elsewhere classified | Other | Computer equipment | Integrated circuits and devices | Communication services not elsewhere classified | Expanding Knowledge in the Chemical Sciences | Expanding Knowledge in the Information and Computing Sciences | Communication equipment not elsewhere classified |
Related Links
Publications
Broadband Characterization of Glass and Polymer Materials Using THz-TDS
Publisher: IEEE
Date: 09-2019
A high-performance TE modulator/TM-pass polarizer using selective mode shaping in a VO2-based side-polished fiber
Publisher: Walter de Gruyter GmbH
Date: 18-08-2021
Abstract: The reversible insulating-to-conducting phase transition (ICPT) of vanadium dioxide (VO 2 ) makes it a versatile candidate for the implementation of integrated optical devices. In this paper, a bi-functional in-line optical device based on a four-layer stack of PMMA/graphene/VO 2 /graphene deposited on a side-polished fiber (SPF) is proposed. The structure can be employed as an ultra-compact TE modulator or a TM-pass polarizer, operating at 1.55 μm. We show that the ICPT characteristic can be used for polarization-selective mode shaping (PSMS) to manipulate orthogonal modes separately. On the one hand, as an optical modulator, the PSMS is used to modify mode profiles so that the TE mode attenuation is maximized in the off-state (and IL is minimized in the on-state), while the power carried by the TM mode remains unchanged. As a result, a TE modulator with an ultrahigh extinction ratio (ER) of about ER = 165 dB/mm and a very low insertion loss (IL) of IL = 2.3 dB/mm is achieved. On the other hand, the structure can act as a TM-pass polarizer featuring an extremely high polarization extinction ratio (PER) of about PER = 164 dB/mm and a low TM insertion of IL = 3.86 dB/mm. The three-dimensional heat transfer calculation for the ICPT process reveals that the response time of the modulator is in the order of few nanoseconds. Moreover, the required bias voltage of the proposed device is calculated to be as low as 1.1 V. The presented results are promising a key step towards the realization of an integrated high-performance in-line modulator olarizer.
Correction to: “Experimental Study on Glass and Polymers: Determining the Optimal Material for Potential Use in Terahertz Technology”
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Signal processing for T-ray biosensor systems
Publisher: SPIE
Date: 16-03-2001
DOI: 10.1117/12.418754
Exploring $Bona~Fide$ Optimal Noise for Bayesian Parameter Estimation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Deep learning-based cardiovascular image diagnosis: A promising challenge
Publisher: Elsevier BV
Date: 09-2019
Study of vibrational resonance in nonlinear signal processing
Publisher: The Royal Society
Date: 18-01-2021
Abstract: Vibrational resonance (VR) intentionally applies high-frequency periodic vibrations to a nonlinear system, in order to obtain enhanced efficiency for a number of information processing tasks. Note that VR is analogous to stochastic resonance where enhanced processing is sought via purposeful addition of a random noise instead of deterministic high-frequency vibrations. Comparatively, due to its ease of implementation, VR provides a valuable approach for nonlinear signal processing, through detailed modalities that are still under investigation. In this paper, VR is investigated in arrays of nonlinear processing devices, where a range of high-frequency sinusoidal vibrations of the same litude at different frequencies are injected and shown capable of enhancing the efficiency for estimating unknown signal parameters or for detecting weak signals in noise. In addition, it is observed that high-frequency vibrations with differing frequencies can be considered, at the s ling times, as independent random variables. This property allows us here to develop a probabilistic analysis—much like in stochastic resonance—and to obtain a theoretical basis for the VR effect and its optimization for signal processing. These results provide additional insight for controlling the capabilities of VR for nonlinear signal processing. This article is part of the theme issue ‘Vibrational and stochastic resonance in driven nonlinear systems (part 1)’.
Suprathreshold stochastic resonance
Publisher: Cambridge University Press
Date: 02-10-2009
A fully integrable RF energy harvester with dynamic efficiency tuning
Publisher: IEEE
Date: 11-2018
A Proof-of-Concept Study: Simple and Effective Detection of P and T Waves in Arrhythmic ECG Signals
Publisher: MDPI AG
Date: 17-10-2016
References
Publisher: Cambridge University Press
Date: 02-10-2009
Suprathreshold stochastic resonance decoding
Publisher: Cambridge University Press
Date: 02-10-2009
Kidnapping model: an extension of Selten's game
Publisher: The Royal Society
Date: 12-2017
DOI: 10.1098/RSOS.171484
Abstract: Selten's game is a kidnapping model where the probability of capturing the kidnapper is independent of whether the hostage has been released or executed. Most often, in view of the elevated sensitivities involved, authorities put greater effort and resources into capturing the kidnapper if the hostage has been executed, in contrast with the case when a ransom is paid to secure the hostage's release. In this paper, we study the asymmetric game when the probability of capturing the kidnapper depends on whether the hostage has been executed or not and find a new uniquely determined perfect equilibrium point in Selten's game.
Biographies
Publisher: Cambridge University Press
Date: 02-10-2009
On detection of periodicity in C-reactive protein (CRP) levels
Publisher: Springer Science and Business Media LLC
Date: 10-08-2018
DOI: 10.1038/S41598-018-30469-8
Abstract: C-reactive protein (CRP) is an acute-phase plasma protein that can be used as a biomarker for activation of the immune system. A spectral analysis of CRP level over time for patients with gynaecological tumours has been reported by Madondo et al ., using a periodogram method, suggesting that there is no significant periodicity in the data. In our study, we investigate the impact of low s le number on periodogram analysis, for non-uniform s ling intervals—we conclude that data of Madondo et al . cannot rule out periodic behaviour. The search for patterns (periodic or otherwise) in the CRP time-series is of interest for providing a cue for the optimal times at which cancer therapies are best administered. In this paper we show (i) there is no evidence to rule out periodicity in CRP levels, and (ii) we provide a prescription for the minimum data s le rate required in future experiments for improved testing of a periodic CRP signal hypothesis. The analysis we provide may be used for establishing periodicity in any short time-series signal that is observed without a priori information.
Investigating the impact of feedback update interval on the efficacy of restorative brain–computer interfaces
Publisher: The Royal Society
Date: 08-2017
DOI: 10.1098/RSOS.170660
Abstract: Restorative brain–computer interfaces (BCIs) have been proposed to enhance stroke rehabilitation. Restorative BCIs are able to close the sensorimotor loop by rewarding motor imagery (MI) with sensory feedback. Despite the promising results from early studies, reaching clinically significant outcomes in a timely fashion is yet to be achieved. This lack of efficacy may be due to suboptimal feedback provision. To the best of our knowledge, the optimal feedback update interval (FUI) during MI remains unexplored. There is evidence that sensory feedback disinhibits the motor cortex. Thus, in this study, we explore how shorter than usual FUIs affect behavioural and neurophysiological measures following BCI training for stroke patients using a single-case proof-of-principle study design. The action research arm test was used as the primary behavioural measure and showed a clinically significant increase (36%) over the course of training. The neurophysiological measures including motor evoked potentials and maximum voluntary contraction showed distinctive changes in early and late phases of BCI training. Thus, this preliminary study may pave the way for running larger studies to further investigate the effect of FUI magnitude on the efficacy of restorative BCIs. It may also elucidate the role of early and late phases of motor learning along the course of BCI training.
Parameter identification using moment of velocity
Publisher: The Royal Society
Date: 11-2019
DOI: 10.1098/RSOS.190671
Abstract: Many physical systems can be adequately modelled using a second-order approximation. Thus, the problem of system identification often reduces to the problem of estimating the position of a single pair of complex–conjugate poles. This paper presents a convenient but approximate technique for the estimation of the position of a single pair of complex–conjugate poles, using the moment of velocity (MoV). The MoV is a Hilbert transform based signal processing tool that addresses the shortcomings of instantaneous frequency. We demonstrate that the MoV can be employed for parameter identification of a dynamical system. We estimate the d ing coefficient and oscillation frequency via MoV of the impulse response.
Can Photoplethysmography Replace Arterial Blood Pressure in the Assessment of Blood Pressure?
Publisher: MDPI AG
Date: 30-09-2018
DOI: 10.3390/JCM7100316
Abstract: Arterial Blood Pressure (ABP) and photoplethysmography (PPG) are both useful techniques to monitor cardiovascular status. Though ABP monitoring is more widely employed, this procedure of signal acquisition whether done invasively or non-invasively may cause inconvenience and discomfort to the patients. PPG, however, is simple, noninvasive, and can be used for continuous measurement. This paper focuses on analyzing the similarities in time and frequency domains between ABP and PPG signals for normotensive, prehypertensive and hypertensive subjects and the feasibility of the classification of subjects considering the results of the analysis performed. From a database with 120 records of ABP and PPG, each 120 s in length, the records where separated into epochs taking into account 10 heartbeats, and the following statistical measures were performed: Correlation (r), Coherence (COH), Partial Coherence (pCOH), Partial Directed Coherence (PDC), Directed Transfer Function (DTF), Full Frequency Directed Transfer Function (ffDTF) and Direct Directed Transfer Function (dDTF). The correlation coefficient was r 0.9 on average for all groups, indicating a strong morphology similarity. For COH and pCOH, coherence (linear correlation in frequency domain) was found with significance (p 0.01) in differentiating between normotensive and hypertensive subjects using PPG signals. For the dataset at hand, only two synchrony measures are able to convincingly distinguish hypertensive subjects from normotensive control subjects, i.e., ffDTF and dDTF. From PDC, DTF, ffDTF, and dDTF, a consistent, a strong significant causality from ABP→PPG was found. When all synchrony measures were combined, an 87.5 % accuracy was achieved to detect hypertension using a Neural Network classifier, suggesting that PPG holds most informative features that exist in ABP.
How Effective Is Pulse Arrival Time for Evaluating Blood Pressure? Challenges and Recommendations from a Study Using the MIMIC Database
Publisher: MDPI AG
Date: 11-03-2019
DOI: 10.3390/JCM8030337
Abstract: Cardiovascular disease (CVD) is the number one cause of non-infectious morbidity and mortality in the world. The detection, measurement, and management of high blood pressure play an essential role in the prevention and control of CVDs. However, owing to the limitations and discomfort of traditional blood pressure (BP) detection techniques, many new cuff-less blood pressure approaches have been proposed and explored. Most of these involve arterial wave propagation theory, which is based on pulse arrival time (PAT), the time interval needed for a pulse wave to travel from the heart to some distal place on the body, such as the finger or earlobe. For this study, the Medical Information Mart for Intensive Care (MIMIC) database was used as a benchmark for PAT analysis. Many researchers who use the MIMIC database make the erroneous assumption that all the signals are synchronized. Therefore, we decided to investigate the calculation of PAT intervals in the MIMIC database and check its usefulness for evaluating BP. Our findings have important implications for the future use of the MIMIC database, especially for BP evaluation.
Optimal stochastic quantization
Publisher: Cambridge University Press
Date: 02-10-2009
Transcranial Low-Intensity Pulsed Ultrasound Stimulation Induces Neuronal Autophagy
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Exposed-core localized surface plasmon resonance biosensor
Publisher: The Optical Society
Date: 31-07-2019
A Late Cretaceous and Cenozoic reconstruction of the Southwest Pacific region: Tectonics controlled by subduction and slab rollback processes
Publisher: Elsevier BV
Date: 06-2006
Overview of wavelets for image processing for wireless applications
Publisher: SPIE
Date: 11-2002
DOI: 10.1117/12.472704
Multimodal Photoplethysmography-Based Approaches for Improved Detection of Hypertension
Publisher: MDPI AG
Date: 22-04-2020
DOI: 10.3390/JCM9041203
Abstract: Elevated blood pressure (BP) is a major cause of death, yet hypertension commonly goes undetected. Owing to its nature, it is typically asymptomatic until later in its progression when the vessel or organ structure has already been compromised. Therefore, noninvasive and continuous BP measurement methods are needed to ensure appropriate diagnosis and early management before hypertension leads to irreversible complications. Photoplethysmography (PPG) is a noninvasive technology with waveform morphologies similar to that of arterial BP waveforms, therefore attracting interest regarding its usability in BP estimation. In recent years, wearable devices incorporating PPG sensors have been proposed to improve the early diagnosis and management of hypertension. Additionally, the need for improved accuracy and convenience has led to the development of devices that incorporate multiple different biosignals with PPG. Through the addition of modalities such as an electrocardiogram, a final measure of the pulse wave velocity is derived, which has been proved to be inversely correlated to BP and to yield accurate estimations. This paper reviews and summarizes recent studies within the period 2010–2019 that combined PPG with other biosignals and offers perspectives on the strengths and weaknesses of current developments to guide future advancements in BP measurement. Our literature review reveals promising measurement accuracies and we comment on the effective combinations of modalities and success of this technology.
Centerline Extraction of Vasculature Mesh
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network With IP Protection for Internet of Things
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 04-2023
Neural evidence for long-term marriage shaping the functional brain network organization between couples
Publisher: Elsevier BV
Date: 10-2019
DOI: 10.1016/J.NEUROIMAGE.2019.05.058
Abstract: Long-term married couples have been reported to share personality and behavioural similarities, but whether long-term marriage would shape the brain is hitherto unknown. In this study, 35 pairs of long-term married couples, who have married and living together at least 30 years, were recruited, and resting state functional magnetic resonance imaging was used to examine the neural correlates of long-term marriage between couples. Seven intrinsic connectivity networks were extracted using spatially constrained group independent component analysis, and the spatial similarity of each network as well as functional connectome similarity between couples were investigated respectively. The significant spatial similarities in the salience and frontoparietal networks as well as marginally significant connectome similarity were observed in long-term married couples. In addition, the marital duration showed a significantly positive correlation with the spatial similarity in the frontoparietal network and connectome similarity. The results provide objective evidence that long-term marriage would shape brain network organization, and the combination of initial personality traits and long-term common experience of the couples may be potential factors that account for similar brain network organizations between couples.
Introduction and motivation
Publisher: Cambridge University Press
Date: 02-10-2009
Suprathreshold stochastic resonance: encoding
Publisher: Cambridge University Press
Date: 02-10-2009
Stochastic quantization
Publisher: Cambridge University Press
Date: 02-10-2009
Suprathreshold stochastic resonance: decoding
Publisher: Cambridge University Press
Date: 02-10-2009
Ultrahigh‐Q Resonance in Bound States in the Continuum–Enabled Plasmonic Terahertz Metasurface
Publisher: Wiley
Date: 28-06-2023
Abstract: The study of optical resonators is of significant importance in terms of their ability to confine light in optical devices. A major drawback of optical resonators is the phenomenon of light emission due to their limited capacity for light confinement. Bound states in the continuum are gaining significant attention in the realization of optical devices due to their unique ability for reducing light scattering via interference mechanisms. This process can potentially suppress scattering, leading to improved optical performance. Using this concept, a metasurface having two elliptical silicon (Si) resonators nonidentically angled to create an out‐of‐plane asymmetry is studied. Various parameters are optimized by employing a genetic algorithm (GA) to subsequently achieve a high‐ Q factor at terahertz frequencies. Herein, the device is fabricated using a novel method, and a thick high‐index resonator is achieved. Terahertz measurements are carried out to validate the results. It is indicated in the experimental results that plasmons appear at the top surface of the metasurface and create strong sharp resonances that are sensitive to the external environment. Owing to strong field confinement ability, and high‐ Q factor, the metasurface is sensitive to its surrounding environment and can be essentially employed in terahertz sensing applications.
Foreword
Publisher: Cambridge University Press
Date: 02-10-2009
Preface
Publisher: Cambridge University Press
Date: 02-10-2009
DC is the Future [Point of View]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2020
Design of Single-Mode Single-Polarization Large-Mode-Area Multicore Fibers
Publisher: MDPI AG
Date: 04-10-2023
DOI: 10.3390/MI14101901
Adventures in stochastics
Publisher: Springer International Publishing
Date: 2019
Novel Hollow Core Antiresonant Terahertz Fiber with Metamaterial Cladding
Publisher: IEEE
Date: 09-2019
Maximum Likelihood Estimation of Stochastic Fractional Singular Models
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
PUF Sensor: Exploiting PUF Unreliability for Secure Wireless Sensing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2017
Publisher Correction: Truels and strategies for survival
Publisher: Springer Science and Business Media LLC
Date: 17-03-2020
DOI: 10.1038/S41598-020-62013-Y
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Single‐Step Tabletop Fabrication for Low‐Attenuation Terahertz Special Optical Fibers
Publisher: Wiley
Date: 10-10-2021
Abstract: Amid the search for efficient terahertz transmission and gas sensing, all‐polymer terahertz waveguides attract significant interest due to their compactness and capability for providing environmentally robust systems. The high loss within metals and dielectrics in the terahertz range makes it challenging to build a low loss, mechanically stable, and broadband terahertz waveguides. In this context, hollow waveguides made of Zeonex are promising for attaining low transmission loss in the terahertz range. Herein, a microstructured hollow hexagonal‐core fiber (HCF) is investigated, which exhibits low loss, near‐zero dispersion, wide operating bandwidth, and is suitable as a gas sensor. Notably, HCF fabrication is carried out by exploiting an efficient single‐step extrusion method—by a standard filament extruder and a puller hence the production cost is low compared with conventional extrusion methods. This introduces a novel way of fabricating complex and low‐loss terahertz fibers. The experiments demonstrate that an HCF can achieve remarkably low attenuation and near‐zero flattened dispersion as compared with any other terahertz fibers. The resulting HCFs are easy to handle and have high thermal and chemical stability. These results bring significant advancements for terahertz fiber fabrication, low‐loss ultrafast short‐distance terahertz transmission, and sensing in the terahertz spectral domain.
A novel Zeonex based oligoporous-core photonic crystal fiber for polarization preserving terahertz applications
Publisher: Elsevier BV
Date: 04-2018
Hilbert's forgotten equation, the equivalence principle and velocity dependence of free fall
Publisher: IOP Publishing
Date: 17-04-2020
Ultra-Compact Efficient Thermally Actuated Mach-Zehnder Modulator Based on VO2
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
A Digital Neuromorphic Realization of Pair-Based and Triplet-Based Spike-Timing-Dependent Synaptic Plasticity
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2018
Cenozoic Tectonics of Western North America Controlled by Evolving Width of Farallon Slab
Publisher: American Association for the Advancement of Science (AAAS)
Date: 16-07-2010
Abstract: The Basin and Range Province of western North America—exemplified by the alternating mountain ridge and valley landscapes across nearly the entire U.S. state of Nevada—started to form ∼50 million years ago through a series of extensions of the continental crust. Prior to that, massive mountain-building collisions at the boundary between North America and the Pacific Ocean formed a subduction zone and compressed the continent. By combining observations of global subduction zone velocities with numerical modeling, Schellart et al. (p. 316 ) demonstrate that the thinning of the subducting portion of the oceanic plate controlled how and when the transition from compression to extension occurred. Even today, where the much smaller remnant oceanic plate continues to slowly subduct below North America in the Pacific Northwest, the width of the slab and not its age controls the velocity of subduction. Indeed, this relation may explain the dynamics of other modern subduction zones, from South America to Japan.
Comparative Study of Discrete PI and PR Controls for Single-Phase UPS Inverter
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Spiral Photonic Crystal Fiber-Based Dual-Polarized Surface Plasmon Resonance Biosensor
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Addendum: Sultana, J., et al. Terahertz Hollow Core Antiresonant Fiber with Metamaterial Cladding. Fibers 2020, 8, 14
Publisher: MDPI AG
Date: 09-03-2021
DOI: 10.3390/FIB9030020
Abstract: This paper [...]
Truels and strategies for survival
Publisher: Springer Science and Business Media LLC
Date: 20-06-2019
DOI: 10.1038/S41598-019-45253-5
Abstract: The truel is a three person competition that generalises the classic duel. In this game three players try to eliminate each other in a series of one-to-one duels until there is only one survivor. The players’ marksmanship, shooting order and strategies for choosing a target play a significant role in in idual’s survival probability. Strategies such as shooting into the air (abstention), shooting at the strongest opponent, and shooting at the weakest opponent have been analysed in the previous literature. In this paper, for the first time, we consider suicidal and random strategies that can be chosen by the weaker player. We show that although there is no possible highest probability region for weakest player adopting suicidal strategy, the player may increase the survival probability via switching between suicidal and abstention strategies randomly. In addition, we demonstrate that there is a narrow survival area for the weakest player when the player aims randomly at two other opponents, and eventually the area fades away if the player fires randomly at himself or the other two opponents.
Evolution and diversity of subduction zones controlled by slab width
Publisher: Springer Science and Business Media LLC
Date: 03-2007
DOI: 10.1038/NATURE05615
Abstract: Subducting slabs provide the main driving force for plate motion and flow in the Earth's mantle, and geodynamic, seismic and geochemical studies offer insight into slab dynamics and subduction-induced flow. Most previous geodynamic studies treat subduction zones as either infinite in trench-parallel extent (that is, two-dimensional) or finite in width but fixed in space. Subduction zones and their associated slabs are, however, limited in lateral extent (250-7,400 km) and their three-dimensional geometry evolves over time. Here we show that slab width controls two first-order features of plate tectonics-the curvature of subduction zones and their tendency to retreat backwards with time. Using three-dimensional numerical simulations of free subduction, we show that trench migration rate is inversely related to slab width and depends on proximity to a lateral slab edge. These results are consistent with retreat velocities observed globally, with maximum velocities (6-16 cm yr(-1)) only observed close to slab edges ( 2,000 km) retreat velocities are always slow (<2.0 cm yr(-1)). Models with narrow slabs ( or =4,000 km) are nearly stationary in the centre and develop a convex geometry, whereas trench retreat increases towards concave-shaped edges. Additionally, we identify periods (5-10 Myr) of slow trench advance at the centre of wide slabs. Such wide-slab behaviour may explain mountain building in the central Andes, as being a consequence of its tectonic setting, far from slab edges.
A Hi-Bi Ultra-Sensitive Surface Plasmon Resonance Fiber Sensor
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
A game theoretical perspective on the quantum probabilities associated with a GHZ state
Publisher: Springer Science and Business Media LLC
Date: 06-10-2018
Physical unclonable functions
Publisher: Springer Science and Business Media LLC
Date: 24-02-2020
Convergent plate margin dynamics: New perspectives from structural geology, geophysics and geodynamic modelling
Publisher: Elsevier BV
Date: 03-2010
Electrically Tunable Graphene Metasurface for Multiband Superabsorption and Terahertz Sensing
Publisher: IEEE
Date: 09-2019
Optical MTF and quantum efficiency analysis for smart sensors
Publisher: SPIE
Date: 21-03-2001
DOI: 10.1117/12.420882
The development of tumour vascular networks
Publisher: Springer Science and Business Media LLC
Date: 22-09-2021
DOI: 10.1038/S42003-021-02632-X
Abstract: The growth of solid tumours relies on an ever-increasing supply of oxygen and nutrients that are delivered via vascular networks. Tumour vasculature includes endothelial cell lined angiogenesis and the less common cancer cell lined vasculogenic mimicry (VM). To study and compare the development of vascular networks formed during angiogenesis and VM (represented here by breast cancer and pancreatic cancer cell lines) a number of in vitro assays were utilised. From live cell imaging, we performed a large-scale automated extraction of network parameters and identified properties not previously reported. We show that for both angiogenesis and VM, the characteristic network path length reduces over time however, only endothelial cells increase network clustering coefficients thus maintaining small-world network properties as they develop. When compared to angiogenesis, the VM network efficiency is improved by decreasing the number of edges and vertices, and also by increasing edge length. Furthermore, our results demonstrate that angiogenic and VM networks appear to display similar properties to road traffic networks and are also subject to the well-known Braess paradox. This quantitative measurement framework opens up new avenues to potentially evaluate the impact of anti-cancer drugs and anti-vascular therapies.
MUD-PQFed: Towards Malicious User Detection on model corruption in Privacy-preserving Quantized Federated learning
Publisher: Elsevier BV
Date: 10-2023
Hybrid Si$_3$N$_4$/VO$_2$ Modulator Thermally Triggered by a Graphene Microheater
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2020
Plate reconstructions and tomography reveal a fossil lower mantle slab below the Tasman Sea
Publisher: Elsevier BV
Date: 02-2009
Tunable Terahertz Graphene-Based Absorber Design Method Based on a Circuit Model Approach
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Losing strategies can win by Parrondo's paradox
Publisher: Springer Science and Business Media LLC
Date: 12-1999
DOI: 10.1038/47220
Angiogenic Networks in Tumors—Insights via Mathematical Modeling
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
The Reasonable Ineffectiveness of Mathematics [Point of View]
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 10-2013
Overview of adaptive finite element analysis in computational geodynamics
Publisher: Elsevier BV
Date: 10-2013
Noise Enhancement in Robust Estimation of Location
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-04-2018
Quantum Aspects of Life
Publisher: PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO.
Date: 09-2008
DOI: 10.1142/P581
A Noise-Boosted Remaining Useful Life Prediction Method for Rotating Machines Under Different Conditions
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Two-player quantum games: When player strategies are via directional choices
Publisher: Springer Science and Business Media LLC
Date: 06-2022
DOI: 10.1007/S11128-022-03526-5
Abstract: We propose a scheme for a quantum game based on performing an EPR-type experiment and in which each player’s spatial directional choices are considered as their strategies. A classical mixed-strategy game is recovered by restricting the players’ choices to specific spatial trajectories. We show that for players’ directional choices for which the Bell-CHSH inequality is violated, the players’ payoffs in the quantum game have no mapping within the classical mixed-strategy game. The scheme provides a more direct link between classical and quantum games.
Terahertz Hollow Core Antiresonant Fiber with Metamaterial Cladding
Publisher: MDPI AG
Date: 17-02-2020
DOI: 10.3390/FIB8020014
Abstract: A hollow core antiresonant photonic crystal fiber (HC-ARPCF) with metal inclusions is numerically analyzed for transmission of terahertz (THz) waves. The propagation of fundamental and higher order modes are investigated and the results are compared with conventional dielectric antiresonant (AR) fiber designs. Simulation results show that broadband terahertz radiation can be guided with six times lower loss in such hollow core fibers with metallic inclusions, compared to tube lattice fiber, covering a single mode bandwidth (BW) of 700 GHz.
Influence of trench width on subduction hinge retreat rates in 3‐D models of slab rollback
Publisher: American Geophysical Union (AGU)
Date: 03-2006
DOI: 10.1029/2005GC001056
Global correlations between maximum magnitudes of subduction zone interface thrust earthquakes and physical parameters of subduction zones
Publisher: Elsevier BV
Date: 12-2013
A new derivation of the Minkowski metric
Publisher: IOP Publishing
Date: 06-2023
Abstract: The four dimensional spacetime continuum, as first conceived by Minkowski, has become the dominant framework within which to describe physical laws. In this paper, we show how this four-dimensional structure is a natural property of physical three-dimensional space, if modeled with Clifford geometric algebra C ℓ ( R 3 ) . We find that Minkowski spacetime can be embedded within a larger eight dimensional structure. This then allows a generalisation of the invariant interval and the Lorentz transformations. Also, with this geometric oriented approach the fixed speed of light, the laws of special relativity and a generalised form of Maxwell’s equations, arise naturally from the intrinsic properties of the algebra without recourse to physical arguments. We also find new insights into the nature of time, which can be described as two-dimensional. Some philosophical implications of this approach as it relates to the foundations of physical theories are also discussed.
Low Cost Digital Implementation of Hybrid FitzHugh Nagumo–Morris Lecar Neuron Model Considering Electromagnetic Flux Coupling
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2022
How real are observed trends in small correlated datasets?
Publisher: The Royal Society
Date: 03-2019
DOI: 10.1098/RSOS.181089
Abstract: The eye may perceive a significant trend in plotted time-series data, but if the model errors of nearby data points are correlated, the trend may be an illusion. We examine generalized least-squares (GLS) estimation, finding that error correlation may be underestimated in highly correlated small datasets by conventional techniques. This risks indicating a significant trend when there is none. A new correlation estimate based on the Durbin–Watson statistic is developed, leading to an improved estimate of autoregression with highly correlated data, thus reducing this risk. These techniques are generalized to randomly located data points in space, through the new concept of the nearest new neighbour path. We describe tests on the validity of the GLS schemes, allowing verification of the models employed. Ex les illustrating our method include a 40-year record of atmospheric carbon dioxide, and Antarctic ice core data. While more conservative than existing techniques, our new GLS estimate finds a statistically significant increase in background carbon dioxide concentration, with an accelerating trend. We conclude with an ex le of a worldwide empirical climate model for radio propagation studies, to illustrate dealing with spatial correlation in unevenly distributed data points over the surface of the Earth. The method is generally applicable, not only to climate-related data, but to many other kinds of problems (e.g. biological, medical and geological data), where there are unequally (or randomly) spaced observations in temporally or spatially distributed datasets.
A Decade of IEEE Access
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Hip osteoarthritis: A novel network analysis of subchondral trabecular bone structures
Publisher: Cold Spring Harbor Laboratory
Date: 29-03-2022
DOI: 10.1101/2022.03.28.486155
Abstract: Hip osteoarthritis (HOA) is a degenerative joint disease that leads to the progressive destruction of subchondral bone and cartilage at the hip joint. Development of effective treatments for HOA remains an open problem, primarily due to the lack of knowledge of its pathogenesis and a typically late-stage diagnosis. We describe a novel network analysis methodology for micro-computed tomography (micro-CT) images of human trabecular bone. We explored differences between the trabecular bone microstructure of femoral heads with and without HOA. Large-scale automated extraction of the network formed by trabecular bone revealed significant network properties not previously reported for bone. Profound differences were discovered, particularly in the proximal third of the femoral head, where HOA networks demonstrated elevated numbers of edges, vertices and graph components. When further differentiating healthy joint and HOA networks, the latter showed fewer small-world network properties, due to decreased clustering coefficient and increased characteristic path length. Furthermore, we found that HOA networks had reduced length of edges, indicating the formation of compressed trabecular structures. In order to assess our network approach, we developed a deep learning model for classifying HOA and control cases, and we fed it with two separate inputs: ( i ) micro-CT images of the trabecular bone, and ( ii ) the network extracted from them. The model with plain micro-CT images achieves 74.63% overall accuracy while the trained model with extracted networks attains 96.47% accuracy. We anticipate our findings to be a starting point for a novel description of bone microstructure in HOA, by considering the phenomenon from a graph theory viewpoint.
Noise Benefits in Combined Nonlinear Bayesian Estimators
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
A modified hexagonal photonic crystal fiber for terahertz applications
Publisher: Elsevier BV
Date: 05-2018
Hollow Core Inhibited Coupled Antiresonant Terahertz Fiber: A Numerical and Experimental Study
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2021
Terahertz Sensing in a Hollow Core Photonic Crystal Fiber
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-05-2018
A MEMS Brownian ratchet
Publisher: Elsevier BV
Date: 03-2002
THE (Temperature Heterogeneity Energy) Aware Routing Protocol for IoT Health Application
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
A Six-Step Framework on Biomedical Signal Analysis for Tackling Noncommunicable Diseases: Current and Future Perspectives
Publisher: JMIR Publications Inc.
Date: 17-10-2016
Game Theoretical Modelling of Network/Cybersecurity
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Terahertz Imaging for Biomedical Applications
Publisher: Springer New York
Date: 2012
A Gold Coated Plasmonic Sensor for Biomedical and Biochemical Analyte Detection
Publisher: IEEE
Date: 09-2018
Reaction Time Predicts Brain–Computer Interface Aptitude
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Quantization Backdoors to Deep Learning Commercial Frameworks
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Optimal wavelet denoising for smart biomonitor systems
Publisher: SPIE
Date: 16-03-2001
DOI: 10.1117/12.418781
NTD: Non-Transferability enabled Deep Learning Backdoor Detection
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
A novel approach for spectroscopic chemical identification using photonic crystal fiber in the terahertz regime
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-01-2018
The Black Sea back-arc basin: insights to its origin from geodynamic models of modern analogues
Publisher: Geological Society of London
Date: 2010
DOI: 10.1144/SP340.2
Ultrahigh-Performance ENZ Modulator Based on a Stack of Three-Layer Graphene and ITO
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2022
Localized surface plasmon resonance biosensor: an improved technique for SERS response intensification
Publisher: The Optical Society
Date: 21-02-2019
DOI: 10.1364/OL.44.001134
A novel Zeonex based photonic sensor for alcohol detection in beverages
Publisher: IEEE
Date: 12-2018
Low Complexity Compact Lowpass Filter Using T-Shaped Resonator Loaded With a Stub
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
The use of photoplethysmography for assessing hypertension
Publisher: Springer Science and Business Media LLC
Date: 26-06-2019
DOI: 10.1038/S41746-019-0136-7
Abstract: The measurement of blood pressure (BP) is critical to the treatment and management of many medical conditions. High blood pressure is associated with many chronic disease conditions, and is a major source of mortality and morbidity around the world. For outpatient care as well as general health monitoring, there is great interest in being able to accurately and frequently measure BP outside of a clinical setting, using mobile or wearable devices. One possible solution is photoplethysmography (PPG), which is most commonly used in pulse oximetry in clinical settings for measuring oxygen saturation. PPG technology is becoming more readily available, inexpensive, convenient, and easily integrated into portable devices. Recent advances include the development of smartphones and wearable devices that collect pulse oximeter signals. In this article, we review (i) the state-of-the-art and the literature related to PPG signals collected by pulse oximeters, (ii) various theoretical approaches that have been adopted in PPG BP measurement studies, and (iii) the potential of PPG measurement devices as a wearable application. Past studies on changes in PPG signals and BP are highlighted, and the correlation between PPG signals and BP are discussed. We also review the combined use of features extracted from PPG and other physiological signals in estimating BP. Although the technology is not yet mature, it is anticipated that in the near future, accurate, continuous BP measurements may be available from mobile and wearable devices given their vast potential.
Experimental Study on Glass and Polymers: Determining the Optimal Material for Potential Use in Terahertz Technology
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Quantification of Atherosclerotic Plaque Elasticity Using Ultrasonic Texture Matching
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Ethnic disparities in publicly-available pulse oximetry databases
Publisher: Springer Science and Business Media LLC
Date: 27-05-2022
Distributed Secondary Control and Management of Islanded Microgrids via Dynamic Weights
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2019
Directions for rf-controlled intelligent microvalve
Publisher: SPIE
Date: 16-03-2001
DOI: 10.1117/12.418777
Smart sensor motion detection schemes in a noisy environment
Publisher: SPIE
Date: 16-03-2001
DOI: 10.1117/12.418770
Adaptive recursive algorithm for optimal weighted suprathreshold stochastic resonance
Publisher: The Royal Society
Date: 09-2017
DOI: 10.1098/RSOS.160889
Abstract: Suprathreshold stochastic resonance (SSR) is a distinct form of stochastic resonance, which occurs in multilevel parallel threshold arrays with no requirements on signal strength. In the generic SSR model, an optimal weighted decoding scheme shows its superiority in minimizing the mean square error (MSE). In this study, we extend the proposed optimal weighted decoding scheme to more general input characteristics by combining a Kalman filter and a least mean square (LMS) recursive algorithm, wherein the weighted coefficients can be adaptively adjusted so as to minimize the MSE without complete knowledge of input statistics. We demonstrate that the optimal weighted decoding scheme based on the Kalman–LMS recursive algorithm is able to robustly decode the outputs from the system in which SSR is observed, even for complex situations where the signal and noise vary over time.
Introduction to the special issue on convergent plate margin dynamics
Publisher: Elsevier BV
Date: 03-2010
Five-capillary cladding terahertz fiber with low loss and single mode
Publisher: IEEE
Date: 09-2019
Parallel and Distributed Optimization Method With Constraint Decomposition for Energy Management of Microgrids
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2021
Exploring Low Loss and Single Mode in Antiresonant Tube Lattice Terahertz Fibers
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Quasi-photonic crystal fiber-based spectroscopic chemical sensor in the terahertz spectrum: Design and analysis
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-12-2018
Generalization of stochastic-resonance-based threshold networks with Tikhonov regularization
Publisher: American Physical Society (APS)
Date: 06-07-2022
Analysis of millimetre-wave polarization diverse multiple-input multiple-output capacity
Publisher: The Royal Society
Date: 12-2015
DOI: 10.1098/RSOS.150322
Abstract: Millimetre-waves offer the possibility of wide bandwidth and consequently high data rate for wireless communications. For both uni- and dual-polarized systems, signals sent over a link may suffer severe degradation due to antenna misalignment. Orientation robustness may be enhanced by the use of mutual orthogonality in three dimensions. Multiple-input multiple-output polarization ersity offers a way of improving signal reception without the limitations associated with spatial ersity. Scattering effects often assist propagation through multipath. However, high path loss at millimetre-wave frequencies may limit any reception enhancement through scattering. We show that the inclusion of a third orthogonal dipole provides orientation robustness in this setting, as well as in a rich scattering environment, by means of a Rician fading channel model covering all orientations for a millimetre-wave, tri-orthogonal, half-wave dipole transmitter and receiver employing polarization ersity. Our simulation extends the analysis into three dimensions, fully exploiting in idual sub-channel paths. In both the presence and absence of multipath effects, capacity is observed to be higher than that of a dual-polarized system over the majority of a field of view.
Influence of lateral slab edge distance on plate velocity, trench velocity, and subduction partitioning
Publisher: American Geophysical Union (AGU)
Date: 27-10-2011
DOI: 10.1029/2011JB008535
Can C-Reactive Protein (CRP) Time Series Forecasting be Achieved via Deep Learning?
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Developments in Parrondo’s Paradox
Publisher: Springer Berlin Heidelberg
Date: 2009
Hip osteoarthritis: A novel network analysis of subchondral trabecular bone structures
Publisher: Oxford University Press (OUP)
Date: 11-2022
DOI: 10.1093/PNASNEXUS/PGAC258
Abstract: Hip osteoarthritis (HOA) is a degenerative joint disease that leads to the progressive destruction of subchondral bone and cartilage at the hip joint. Development of effective treatments for HOA remains an open problem, primarily due to the lack of knowledge of its pathogenesis and a typically late-stage diagnosis. We describe a novel network analysis methodology for microcomputed tomography (micro-CT) images of human trabecular bone. We explored differences between the trabecular bone microstructure of femoral heads with and without HOA. Large-scale automated extraction of the network formed by trabecular bone revealed significant network properties not previously reported for bone. Profound differences were discovered, particularly in the proximal third of the femoral head, where HOA networks demonstrated elevated numbers of edges, vertices, and graph components. When further differentiating healthy joint and HOA networks, the latter showed fewer small-world network properties, due to decreased clustering coefficient and increased characteristic path length. Furthermore, we found that HOA networks had reduced length of edges, indicating the formation of compressed trabecular structures. In order to assess our network approach, we developed a deep learning model for classifying HOA and control cases, and we fed it with two separate inputs: (i) micro-CT images of the trabecular bone, and (ii) the network extracted from them. The model with plain micro-CT images achieves 74.6% overall accuracy while the trained model with extracted networks attains 96.5% accuracy. We anticipate our findings to be a starting point for a novel description of bone microstructure in HOA, by considering the phenomenon from a graph theory viewpoint.
Cuffless Single-Site Photoplethysmography for Blood Pressure Monitoring
Publisher: MDPI AG
Date: 07-03-2020
DOI: 10.3390/JCM9030723
Abstract: One in three adults worldwide has hypertension, which is associated with significant morbidity and mortality. Consequently, there is a global demand for continuous and non-invasive blood pressure (BP) measurements that are convenient, easy to use, and more accurate than the currently available methods for detecting hypertension. This could easily be achieved through the integration of single-site photoplethysmography (PPG) readings into wearable devices, although improved reliability and an understanding of BP estimation accuracy are essential. This review paper focuses on understanding the features of PPG associated with BP and examines the development of this technology over the 2010–2019 period in terms of validation, s le size, ersity of subjects, and datasets used. Challenges and opportunities to move single-site PPG forward are also discussed.
On moment of velocity for signal analysis
Publisher: The Royal Society
Date: 03-2019
DOI: 10.1098/RSOS.182001
Abstract: The instantaneous frequency (IF) of a signal is a well-defined quantity that is widely used for analysing non-stationary signals. However, often in practice, IF as a function of time can possess large spikes and negative values. Moreover, IF is very sensitive to noise, limiting its range of practical application. Due to these deficiencies, we introduce the concept of moment of velocity (MoV) for signal analysis. As a case study, we compare the performance of MoV to a standard Hilbert transform-based approach for R-wave identification in human electrocardiogram signals, demonstrating that our approach is more robust to noise. We examine characteristic heartbeats obtained from the MIT-BIH Arrhythmia database. A detection error rate of 0.07%, a positive predictive value of 99.97%, and a sensitivity of 99.95% are achieved against analysis results from the database.
Plasmonic Refractive Index Sensor Employing Niobium Nanofilm on Photonic Crystal Fiber
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-02-2018
Noise-Boosted Backpropagation Learning of Feedforward Threshold Neural Networks for Function Approximation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Wide Bandgap DC–DC Converter Topologies for Power Applications
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2021
A Digital Neuromorphic Realization of the 2-D Wilson Neuron Model
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
A new driving mechanism for backarc extension and backarc shortening through slab sinking induced toroidal and poloidal mantle flow: Results from dynamic subduction models with an overriding plate
Publisher: American Geophysical Union (AGU)
Date: 06-2013
DOI: 10.1002/JGRB.50173
Terahertz time-domain spectroscopy of edible oils
Publisher: The Royal Society
Date: 06-2017
DOI: 10.1098/RSOS.170275
Abstract: Chemical degradation of edible oils has been studied using conventional spectroscopic methods spanning the spectrum from ultraviolet to mid-IR. However, the possibility of morphological changes of oil molecules that can be detected at terahertz frequencies is beginning to receive some attention. Furthermore, the rapidly decreasing cost of this technology and its capability for convenient, in situ measurement of material properties, raises the possibility of monitoring oil during cooking and processing at production facilities, and more generally within the food industry. In this paper, we test the hypothesis that oil undergoes chemical and physical changes when heated above the smoke point, which can be detected in the 0.05–2 THz spectral range, measured using the conventional terahertz time-domain spectroscopy technique. The measurements demonstrate a null result in that there is no significant change in the spectra of terahertz optical parameters after heating above the smoke point for 5 min.
MLMSA: Multilabel Multiside-Channel-Information Enabled Deep Learning Attacks on APUF Variants
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2023
Subliminal priming—state of the art and future perspectives
Publisher: MDPI AG
Date: 30-05-2018
DOI: 10.3390/BS8060054
Universal Kriging Prediction of Line-of-Sight Microwave Fading
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
5G Terrestrial Networks: Mobility and Coverage—Solution in Three Dimensions
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2017
MEMS implementation of a Brownian ratchet
Publisher: SPIE
Date: 16-03-2001
DOI: 10.1117/12.418769
Evaluation of Australia’s Generation-Storage Requirements in a Fully Renewable Grid With Intermittent and Flexible Generation
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Related Organisations
Loughborough University
Location: United Kingdom of Great Britain and Northern Ireland
GEC Hirst Research Centre
Location: United Kingdom of Great Britain and Northern Ireland
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