ORCID Profile
0000-0003-2968-9561
Current Organisations
University of Konstanz
,
University of Aberdeen
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Related Links
Publications
Hybrid CNN-SVD Based Prominent Feature Extraction and Selection for Grading Diabetic Retinopathy Using Extreme Learning Machine Algorithm
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Development of Duplex Eye Contact Framework for Human-Robot Inter Communication
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Evolution of aerial spider webs coincided with repeated structural optimization of silk anchorages
Publisher: Wiley
Date: 10-09-2019
DOI: 10.1111/EVO.13834
Abstract: Physical structures built by animals challenge our understanding of biological processes and inspire the development of smart materials and green architecture. It is thus indispensable to understand the drivers, constraints, and dynamics that lead to the emergence and modification of building behavior. Here, we demonstrate that spider web ersification repeatedly followed strikingly similar evolutionary trajectories, guided by physical constraints. We found that the evolution of suspended webs that intercept flying prey coincided with small changes in silk anchoring behavior with considerable effects on the robustness of web attachment. The use of nanofiber based capture threads (cribellate silk) conflicts with the behavioral enhancement of web attachment, and the repeated loss of this trait was frequently followed by physical improvements of web anchor structure. These findings suggest that the evolution of building behavior may be constrained by major physical traits limiting its role in rapid adaptation to a changing environment.
Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Programmable Molecular Scissors: Applications of a New Tool for Genome Editing in Biotech
Publisher: Elsevier BV
Date: 03-2019
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion
Publisher: Elsevier BV
Date: 11-2020
Biomechanical analyses of pterygotid sea scorpion chelicerae uncover predatory specialisation within eurypterids
Publisher: PeerJ
Date: 09-12-2022
DOI: 10.7717/PEERJ.14515
Abstract: Eurypterids (sea scorpions) are extinct aquatic chelicerates. Within this group, members of Pterygotidae represent some of the largest known marine arthropods. Representatives of this family all have hypertrophied, anteriorly-directed chelicerae and are commonly considered Silurian and Devonian apex predators. Despite a long history of research interest in these appendages, pterygotids have been subject to limited biomechanical investigation. Here, we present finite element analysis (FEA) models of four different pterygotid chelicerae—those of Acutiramus bohemicus , Erettopterus bilobus , Jaekelopterus rhenaniae , and Pterygotus anglicus —informed through muscle data and finite element models (FEMs) of chelae from 16 extant scorpion taxa. We find that Er. bilobus and Pt. anglicus have comparable stress patterns to modern scorpions, suggesting a generalised diet that probably included other eurypterids and, in the Devonian species, armoured fishes, as indicated by co-occurring fauna. Acutiramus bohemicus is markedly different, with the stress being concentrated in the proximal free ramus and the serrated denticles. This indicates a morphology better suited for targeting softer prey. Jaekelopterus rhenaniae exhibits much lower stress across the entire model. This, combined with an extremely large body size, suggests that the species likely fed on larger and harder prey, including heavily armoured fishes. The range of cheliceral morphologies and stress patterns within Pterygotidae demonstrate that members of this family had variable diets, with only the most derived species likely to feed on armoured prey, such as placoderms. Indeed, increased sizes of these forms throughout the mid-Palaeozoic may represent an ‘arms race’ between eurypterids and armoured fishes, with Devonian pterygotids adapting to the rapid ersification of placoderms.
MSGM: A Markov Model Based Similarity Guide Matrix for Optimising Ordered Problems by Balanced-Evolution Genetic Algorithms
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Internet of Things (IoT)-Based Wireless Health: Enabling Technologies and Applications
Publisher: MDPI AG
Date: 12-01-2021
DOI: 10.3390/ELECTRONICS10020148
Abstract: Wireless health is transforming health care by integrating wireless technologies into conventional medicine, including the diagnosis, monitoring, and treatment of illness [...]
Introducing Cloud-Assisted Micro-Service-Based Software Development Framework for Healthcare Systems
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2022
Distinct spinning patterns gain differentiated loading tolerance of silk thread anchorages in spiders with different ecology
Publisher: The Royal Society
Date: 19-07-2017
Abstract: Building behaviour in animals extends biological functions beyond bodies. Many studies have emphasized the role of behavioural programmes, physiology and extrinsic factors for the structure and function of buildings. Structure attachments associated with animal constructions offer yet unrealized research opportunities. Spiders build a variety of one- to three-dimensional structures from silk fibres. The evolution of economic web shapes as a key for ecological success in spiders has been related to the emergence of high performance silks and thread coating glues. However, the role of thread anchorages has been widely neglected in those models. Here, we show that orb-web (Araneidae) and hunting spiders (Sparassidae) use different silk application patterns that determine the structure and robustness of the joint in silk thread anchorages. Silk anchorages of orb-web spiders show a greater robustness against different loading situations, whereas the silk anchorages of hunting spiders have their highest pull-off resistance when loaded parallel to the substrate along the direction of dragline spinning. This suggests that the behavioural ‘printing' of silk into attachment discs along with spinneret morphology was a prerequisite for the evolution of extended silk use in a three-dimensional space. This highlights the ecological role of attachments in the evolution of animal architectures.
A novel hybrid meta-heuristic contrast stretching technique for improved skin lesion segmentation
Publisher: Elsevier BV
Date: 12-2022
DOI: 10.1016/J.COMPBIOMED.2022.106222
Abstract: The high precedence of epidemiological examination of skin lesions necessitated the well-performing efficient classification and segmentation models. In the past two decades, various algorithms, especially machine/deep learning-based methods, replicated the classical visual examination to accomplish the above-mentioned tasks. These automated streams of models demand evident lesions with less background and noise affecting the region of interest. However, even after the proposal of these advanced techniques, there are gaps in achieving the efficacy of matter. Recently, many preprocessors proposed to enhance the contrast of lesions, which further aided the skin lesion segmentation and classification tasks. Metaheuristics are the methods used to support the search space optimisation problems. We propose a novel Hybrid Metaheuristic Differential Evolution-Bat Algorithm (DE-BA), which estimates parameters used in the brightness preserving contrast stretching transformation function. For extensive experimentation we tested our proposed algorithm on various publicly available databases like ISIC 2016, 2017, 2018 and PH
An intelligent healthcare monitoring framework using wearable sensors and social networking data
Publisher: Elsevier BV
Date: 2021
Rice Leaf Diseases Recognition Using Convolutional Neural Networks
Publisher: Springer International Publishing
Date: 2020
SCNN: Scalogram-based convolutional neural network to detect obstructive sleep apnea using single-lead electrocardiogram signals
Publisher: Elsevier BV
Date: 07-2021
Control Plane Optimisation for an SDN-Based WBAN Framework to Support Healthcare Applications
Publisher: MDPI AG
Date: 28-07-2020
DOI: 10.3390/S20154200
Abstract: Software-Defined Networking (SDN) offers an abstract view of the network and assists network operators to control the network traffic and the associated network resources more effectively. For the past few years, SDN has shown a lot of merits in erse fields of applications, an important one being the Wireless Body Area Network (WBAN) for healthcare services. With the amalgamation of SDN with WBAN (SDWBAN), the patient monitoring and management system has gained much more flexibility and scalability compared to the conventional WBAN. However, the performance of the SDWBAN framework largely depends on the controller which is a core element of the control plane. The reason is that an optimal number of controllers assures the satisfactory level of performance and control of the network traffic originating from the underlying data plane devices. This paper proposes a mathematical model to determine the optimal number of controllers for the SDWBAN framework in healthcare applications. To achieve this goal, the proposed mathematical model adopts the convex optimization method and incorporates three critical SDWBAN factors in the design process: number of controllers, latency and number of SDN-enabled switches (SDESW). The proposed analytical model is validated by means of simulations in Castalia 3.2 and the outcomes indicate that the network achieves high level of Packet Delivery Ratio (PDR) and low latency for optimal number of controllers as derived in the mathematical model.
Related Organisations
University Of Aberdeen
Location: United Kingdom of Great Britain and Northern Ireland
University Of Huddersfield
Location: United Kingdom of Great Britain and Northern Ireland
Related Funding Activities
No related grants have been discovered for S. M. Riazul Islam.