ORCID Profile
0000-0002-5198-8173
Current Organisation
Curtin University
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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.
Computation Theory and Mathematics | Numerical Analysis | Computation Theory And Mathematics Not Elsewhere Classified | Biomaterials | Process Control and Simulation | Control Systems, Robotics and Automation | Applied Mathematics not elsewhere classified | Materials Engineering Not Elsewhere Classified | Electrical and Electronic Engineering |
Mathematical sciences | Expanding Knowledge in Engineering | Preventive medicine | Expanding Knowledge in the Mathematical Sciences | Chemical sciences
Publisher: Springer Science and Business Media LLC
Date: 21-05-2014
Publisher: Wiley
Date: 08-03-2022
DOI: 10.1002/OCA.2877
Abstract: The purpose of this article is twofold. We first develop the first‐order necessary optimality conditions for a general constrained fractional optimal control problem using calculus of variation. These conditions are of the form of fractional ordinary differential equations which reduce to the conventional Euler–Lagrange equations when the dynamical system becomes a first‐order one. Then, we prove, via the optimality conditions established, that a popular penalty method used for conventional constrained optimal control and optimization is an “exact” penalty method for the fractional control problem by showing that an optimal solution to the penalized problem satisfies the optimality conditions of the original one when the penalty parameter is sufficiently large. An ex le is also provided to verify the necessary optimality conditions.
Publisher: Elsevier BV
Date: 06-2008
Publisher: MDPI AG
Date: 13-04-2020
DOI: 10.3390/APP10082690
Abstract: The exponentially increasing size of biomedical literature and the limited ability of manual curators to discover protein–protein interactions (PPIs) in text has led to delays in keeping PPI databases updated with the current findings. The state-of-the-art text mining methods for PPI extraction are primarily based on deep learning (DL) models, and the performance of a DL-based method is mainly affected by the architecture of DL models and the feature embedding methods. In this study, we compared different architectures of DL models, including convolutional neural networks (CNN), long short-term memory (LSTM), and hybrid models, and proposed a hybrid architecture of a bidirectional LSTM+CNN model for PPI extraction. Pretrained word embedding and shortest dependency path (SDP) embedding are fed into a two-embedding channel model, such that the model is able to model long-distance contextual information and can capture the local features and structure information effectively. The experimental results showed that the proposed model is superior to the non-hybrid DL models, and the hybrid CNN+Bidirectional LSTM model works well for PPI extraction. The visualization and comparison of the hidden features learned by different DL models further confirmed the effectiveness of the proposed model.
Publisher: Elsevier BV
Date: 04-2004
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2009
Publisher: Springer Science and Business Media LLC
Date: 19-02-2014
Publisher: Elsevier BV
Date: 07-2003
Publisher: Elsevier BV
Date: 04-2004
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2018
DOI: 10.3934/JIMO.2018010
Publisher: Elsevier BV
Date: 04-2004
Publisher: Springer International Publishing
Date: 2015
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2022
DOI: 10.3934/JIMO.2021018
Abstract: style="text-indent:20px " We develop a power penalty approach to a finite-dimensional double obstacle problem. This problem is first approximated by a system of nonlinear equations containing two penalty terms. We show that the solution to this penalized equation converges to that of the original obstacle problem at an exponential rate when the coefficient matrices are inline-formula tex-math id="M1" \begin{document}$ M $\end{document} /tex-math /inline-formula -matrices. Numerical ex les are presented to confirm the theoretical findings and illustrate the efficiency and effectiveness of the new method.
Publisher: Springer Science and Business Media LLC
Date: 23-01-2018
Publisher: Springer Singapore
Date: 2020
Publisher: Informa UK Limited
Date: 12-2006
Publisher: Elsevier BV
Date: 11-2019
Publisher: Scientific Societies
Date: 26-08-2023
DOI: 10.1094/PHYTO-10-22-0373-SC
Abstract: Evolutionarily, early-branching xanthomonads, also referred to as clade-1 xanthomonads, include major plant pathogens, most of which colonize monocotyledonous plants. Seven species have been validly described, among them the two sugarcane pathogens Xanthomonas albilineans and Xanthomonas sacchari, as well as Xanthomonas translucens, which infects small-grain cereals and erse grasses but also asparagus and pistachio trees. Single-gene sequencing and genomic approaches have indicated that this clade likely contains more, yet-undescribed species. In this study, we sequenced representative strains of three novel species using long-read sequencing technology. Xanthomonas c estris pv. phormiicola strain CFBP 8444 causes bacterial streak on New Zealand flax, another monocotyledonous plant. Xanthomonas sp. strain CFBP 8443 has been isolated from common bean, and Xanthomonas sp. strain CFBP 8445 originated from banana. Complete assemblies of the chromosomes confirmed their unique phylogenetic position within clade 1 of Xanthomonas. Genome mining revealed novel genetic features, hitherto undescribed in other members of the Xanthomonas genus. In strain CFBP 8444, we identified genes related to the synthesis of coronatine-like compounds, a phytotoxin produced by several pseudomonads, which raises interesting questions about the evolution and pathogenicity of this pathogen. Furthermore, strain CFBP 8444 was found to contain a second, atypical flagellar gene cluster in addition to the canonical flagellar gene cluster. Overall, this research represents an important step toward better understanding the evolutionary history and biology of early-branching xanthomonads.
Publisher: Wiley
Date: 17-11-2015
DOI: 10.1002/NUM.21941
Publisher: Elsevier BV
Date: 07-2019
Publisher: Springer Science and Business Media LLC
Date: 12-02-2021
Publisher: Springer International Publishing
Date: 2019
Publisher: Informa UK Limited
Date: 04-0309
Publisher: Oxford University Press (OUP)
Date: 07-2010
Publisher: Elsevier BV
Date: 2010
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2015
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2011
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2021
DOI: 10.3934/JIMO.2020076
Publisher: Elsevier BV
Date: 04-2008
Publisher: Springer Science and Business Media LLC
Date: 30-08-2021
Publisher: Elsevier BV
Date: 10-2023
Publisher: Springer International Publishing
Date: 2019
Publisher: Springer Science and Business Media LLC
Date: 12-2006
Publisher: Springer Science and Business Media LLC
Date: 02-09-2018
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2020
DOI: 10.3934/JIMO.2019006
Publisher: Springer Science and Business Media LLC
Date: 29-10-2019
Publisher: Cold Spring Harbor Laboratory
Date: 10-10-2022
DOI: 10.1101/2022.10.10.511549
Abstract: Evolutionary early-branching xanthomonads, also referred to as clade-1 xanthomonads, include major plant pathogens, most of which colonize monocotyledonous plants. Seven species have been validly described, among them the two sugarcane pathogens Xanthomonas albilineans and Xanthomonas sacchari , and Xanthomonas translucens , which infects small grain cereals, erse grasses, but also asparagus and pistachio trees. Single-gene sequencing and genomic approaches indicated that this clade likely contains more, yet undescribed species. In this study, we sequenced representative strains of three novel species using long-read sequencing technology. Xanthomonas sp. pv. phormiicola strain CFBP 8444 causes bacterial streak on New Zealand flax, another monocotyledonous plant. Xanthomonas sp. strain CFBP 8443 has been isolated from common bean and Xanthomonas sp. strain CFBP 8445 originated from banana. Complete assemblies of the chromosomes confirmed their unique taxonomic position within clade 1 of Xanthomonas . Genome mining revealed novel genetic traits, hitherto undescribed in other members of the Xanthomonas genus. In strain CFBP 8444, we identified genes related to the synthesis of coronatine-like compounds, a phytotoxin produced by several pseudomonads, which raises interesting questions about the evolution and pathogenicity of this pathogen. In addition, strain CFBP 8444 was found to encode a second, atypical flagellar gene cluster in addition to the canonical flagellar gene cluster. Overall, this research represents an important step toward better understanding the evolutionary history and biology of early-branching xanthomonads.
Publisher: Elsevier BV
Date: 2012
Publisher: Elsevier BV
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 10-01-2007
Publisher: Elsevier BV
Date: 07-0007
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2020
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2011
Publisher: Elsevier BV
Date: 2021
Publisher: Elsevier BV
Date: 06-2017
Publisher: Springer Science and Business Media LLC
Date: 06-11-2010
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2013
Publisher: Springer Science and Business Media LLC
Date: 15-10-2010
Publisher: MDPI AG
Date: 24-10-2022
DOI: 10.3390/MATH10213951
Abstract: Drugs seem to diffuse in different manners in a delivery device due to the increment of the device pore size during swelling. However, the diffusion parameter, D, is often assumed constant. In this work, a new developed controlled drug release model with a time-dependent diffusion parameter is compared to one- and two-phase models. The new model was obtained as an improvement of the previous constant and piece-wise constants models. The models are developed by solving an advection–diffusion equation using the Landau transformation method and the separation of variables method. To test these models, we fit experimental data by the developed models using the least squares fitting technique. The curve-fitting result shows that the least squares error of the two-phase and the time-dependent models are 10 times smaller than the single-phase model. The CPU time for the time-dependent model is the lowest, showing that a time-dependent model is the best option among all three tested models considering both factors of the determined least squares error and the time consumption.
Publisher: Informa UK Limited
Date: 18-02-2008
Publisher: No publisher found
Date: 2017
Publisher: Trans Tech Publications, Ltd.
Date: 05-2011
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMR.236-238.2118
Abstract: First, a FD scheme based on a polar-coordinate diffusion optimization problem is derived. Next, an optimization algorithm to compute the partial derivatives is proposed. Third, the procedure for the time-dependent drug diffusion parameters is given. Finally, the numerical result shows the validity of the optimal method based on FD to extract the effective time-dependent drug diffusivity.
Publisher: Wiley
Date: 18-06-2017
DOI: 10.1002/RNC.3858
Publisher: Elsevier BV
Date: 08-2023
Publisher: Elsevier BV
Date: 12-2006
Publisher: Elsevier BV
Date: 10-2006
Publisher: Springer Science and Business Media LLC
Date: 05-2006
Publisher: Elsevier BV
Date: 2022
Publisher: Springer Science and Business Media LLC
Date: 07-2005
Publisher: Springer Science and Business Media LLC
Date: 03-01-2020
Publisher: Elsevier BV
Date: 03-2012
Publisher: Springer Science and Business Media LLC
Date: 11-06-2018
Publisher: Springer Science and Business Media LLC
Date: 06-02-2012
Publisher: Springer Science and Business Media LLC
Date: 06-05-2014
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2021
DOI: 10.3934/JIMO.2021218
Abstract: style='text-indent:20px ' An optimization problem with moments information which suffers from distributional uncertainty can be handled through distributionally robust optimization. In this paper, we will consider distributionally robust multi-period portfolio selection since only moment information of portfolios can be gathered in practice. We will consider two different scenarios. One is that moments information can be obtained exactly and the other one is that the moments information is also uncertain. For the two scenarios, we will show how to transform the corresponding distributionally robust optimization problem into a second order cone problem (SOCP) which can be easily solved by existing methods. Some numerical experiments are presented to demonstrate the effectiveness of our proposed method.
Publisher: Elsevier BV
Date: 08-2008
Publisher: Elsevier BV
Date: 05-2022
Publisher: Springer Science and Business Media LLC
Date: 14-05-2009
Publisher: Informa UK Limited
Date: 20-10-2015
Publisher: Springer International Publishing
Date: 2015
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2010
Publisher: Springer Berlin Heidelberg
Date: 2015
Publisher: Springer Science and Business Media LLC
Date: 23-10-2021
Publisher: Elsevier BV
Date: 06-2018
Publisher: Elsevier BV
Date: 09-2021
Publisher: Elsevier BV
Date: 04-2013
Publisher: Elsevier BV
Date: 05-2020
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2021
DOI: 10.3934/JIMO.2020119
Abstract: style='text-indent:20px ' The problem of fuzzy based event-triggered disturbance rejection control for nonlinear systems is addressed in this paper. A new fuzzy event based anti rejection controller is designed and a fuzzy reduced disturbance observer is constructed. Sufficient conditions for the closed loop system to be asymptotically stable under an inline-formula tex-math id="M1" \begin{document}$ H_\infty $\end{document} /tex-math /inline-formula performance index are derived. Based on these conditions, the design of a fuzzy event-triggered state feedback controller is formulated and solved. Numerical results are presented to demonstrate the correctness and effectiveness of our theoretical findings.
Publisher: Elsevier BV
Date: 04-2018
Publisher: Informa UK Limited
Date: 23-12-2009
Publisher: Human Kinetics
Date: 07-2017
Publisher: Society for Industrial & Applied Mathematics (SIAM)
Date: 2009
DOI: 10.1137/070695356
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2021
DOI: 10.3934/JIMO.2019130
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2019
DOI: 10.3934/JIMO.2018042
Publisher: Elsevier BV
Date: 07-2008
Publisher: Springer Science and Business Media LLC
Date: 10-09-2022
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2017
DOI: 10.3934/JIMO.2017019
Publisher: Elsevier BV
Date: 10-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 05-2012
Publisher: Springer Science and Business Media LLC
Date: 20-01-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2022
Publisher: Informa UK Limited
Date: 02-2006
Publisher: Elsevier BV
Date: 05-2008
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2020
DOI: 10.3934/NACO.2019030
Publisher: Elsevier BV
Date: 08-2009
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2022
DOI: 10.3934/JIMO.2021077
Abstract: style='text-indent:20px ' We present a novel method for solving a complicated form of a partial differential equation called the Black-Scholes equation arising from pricing European options. The novelty of this method is that we consider two terms of the equation, namely the volatility and idend, as variables dependent on the state price. We develop a Galerkin finite element method to solve the problem. More specifically, we discretize the system along the state variable and build new basis functions which we use to approximate the solution. We establish convergence of the proposed method and numerical results are reported to show the proposed method is accurate and efficient.
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2018
DOI: 10.3934/NACO.2017018
Publisher: Informa UK Limited
Date: 10-2010
Publisher: Elsevier BV
Date: 05-2020
Publisher: American Institute of Mathematical Sciences (AIMS)
Date: 2017
DOI: 10.3934/JIMO.2018103
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2020
Publisher: Springer International Publishing
Date: 2017
Publisher: Elsevier BV
Date: 2014
Start Date: 05-2003
End Date: 12-2007
Amount: $172,536.00
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2019
End Date: 12-2022
Amount: $445,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2005
End Date: 03-2011
Amount: $231,000.00
Funder: Australian Research Council
View Funded Activity