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Automorphism towers of groups of homeomorphisms of Cantor space (2021)
Journal Article
Olukoya, F. (2021). Automorphism towers of groups of homeomorphisms of Cantor space. Israel Journal of Mathematics, 244(2), 883-899. https://doi.org/10.1007/s11856-021-2196-z

We show that for any full and sufficiently transitive (i.e., flexible) group G of homeomorphisms of Cantor space, Aut(Aut(G)) = Aut(G). This class contains many generalisations of the Higman-Thompson g roups Gn,r, and the Rational group R2
of Grigo... Read More about Automorphism towers of groups of homeomorphisms of Cantor space.

On propagation of waves in pressurized fiber-reinforced hyperelastic tubes based on a reduced model (2021)
Journal Article
Fu. (2021). On propagation of waves in pressurized fiber-reinforced hyperelastic tubes based on a reduced model. Journal of Sound and Vibration, https://doi.org/10.1016/j.jsv.2021.116476

A refined dynamic finite-strain shell theory for incompressible hyperelastic materials was developed by the authors recently. In this paper, we first derive the associated linearized incremental theory, and then use it to investigate wave propagation... Read More about On propagation of waves in pressurized fiber-reinforced hyperelastic tubes based on a reduced model.

Stand-Alone Composite Attention Network for Concrete Structural Defect Classification (2021)
Journal Article
Bhattacharya, G., Puhan, N. B., & Mandal, B. (2021). Stand-Alone Composite Attention Network for Concrete Structural Defect Classification. IEEE Transactions on Artificial Intelligence, 3(2), 265-274. https://doi.org/10.1109/tai.2021.3114385

Automation in structural health monitoring involves a critical step of automatic classification of concrete defect images/videos. Although interdisciplinary research community in AI has responded with some progress, immense challenges are still invol... Read More about Stand-Alone Composite Attention Network for Concrete Structural Defect Classification.

Proceedings of International Conference on Biomedical Engineering (2021)
Presentation / Conference
Yang, & Naire. (2021, September). Proceedings of International Conference on Biomedical Engineering. Presented at International Conference on Biomedical Engineering (ICoBE 2021), UniMAP, Malaysia (Virtual)

Aspiration thrombectomy is a life-saving interventional procedure to remove a blood clot from the brain of stroke patients. The pressure and blood flow dynamics during this procedure are crucial in determining the clinical outcomes. A mathematical mo... Read More about Proceedings of International Conference on Biomedical Engineering.

Power Loss Minimisation of Off-Grid Solar DC Nano-Grids-Part II: A Quasi-Consensus-Based Distributed Control Algorithm (2021)
Journal Article
Samende, C., Bhagavathy, S. M., & McCulloch, M. (2021). Power Loss Minimisation of Off-Grid Solar DC Nano-Grids-Part II: A Quasi-Consensus-Based Distributed Control Algorithm. IEEE Transactions on Smart Grid, 13(1), 38-46. https://doi.org/10.1109/TSG.2021.3111779

This paper investigates the power loss minimization problem of solar DC nanogrids that are designed to provide energy access to households in off-grid areas. We consider nano-grids with distributed battery storage energy systems and that are enabled... Read More about Power Loss Minimisation of Off-Grid Solar DC Nano-Grids-Part II: A Quasi-Consensus-Based Distributed Control Algorithm.

Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning (2021)
Journal Article
Fan. (2022). Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning. Energy, https://doi.org/10.1016/j.energy.2021.121958

As the world seeks to become more sustainable, intelligent solutions are needed to increase the penetration of renewable energy. In this paper, the model-free deep reinforcement learning algorithm Rainbow Deep Q-Networks is used to control a battery... Read More about Data-driven battery operation for energy arbitrage using rainbow deep reinforcement learning.

A Comprehensive Evaluation and Benchmarking of Convolutional Neural Networks for Melanoma Diagnosis (2021)
Journal Article
Alzahrani, S., Al-Bander, B., & Al-Nuaimy, W. (2021). A Comprehensive Evaluation and Benchmarking of Convolutional Neural Networks for Melanoma Diagnosis. Cancers, 13(17), 4494 - 4494. https://doi.org/10.3390/cancers13174494

<jats:p>Melanoma is the most invasive skin cancer with the highest risk of death. While it is a serious skin cancer, it is highly curable if detected early. Melanoma diagnosis is difficult, even for experienced dermatologists, due to the wide range o... Read More about A Comprehensive Evaluation and Benchmarking of Convolutional Neural Networks for Melanoma Diagnosis.

Reply (2021)
Journal Article
Hay, C. A., Mallen, C. D., Belcher, J., Roddy, E., & Prior, J. A. (2022). Reply. Arthritis Care and Research, 74(1), 161-162. https://doi.org/10.1002/acr.24777

'letter'

The ethics of shared Covid-19 risks: an epistemological framework for ethical health technology assessment of risk in vaccine supply chain infrastructures (2021)
Journal Article
Ani. (2021). The ethics of shared Covid-19 risks: an epistemological framework for ethical health technology assessment of risk in vaccine supply chain infrastructures. Health and Technology, 1083 - 1091. https://doi.org/10.1007/s12553-021-00565-3

<jats:title>Abstract</jats:title><jats:p>This article addresses the topic of shared responsibilities in supply chains, with a specific focus on the application of the Internet of Things (IoT) in e-health environments, and Industry 4.0 issues—concerni... Read More about The ethics of shared Covid-19 risks: an epistemological framework for ethical health technology assessment of risk in vaccine supply chain infrastructures.

A Potential Barrier Halting Spherically Symmetric Relativistic Gravitational Collapse (2021)
Book Chapter
Austin, J. C. (2021). A Potential Barrier Halting Spherically Symmetric Relativistic Gravitational Collapse. In Research Trends and Challenges in Physical Science (101-113). BP International. https://doi.org/10.9734/bpi/rtcps/v1/4203f

Discussion: Scholarly discussion on any scientific article or Book or Book chapter is very important for the advancement of science. We strongly suggest all readers and authors to participate in such activities. Comment posting facility is available... Read More about A Potential Barrier Halting Spherically Symmetric Relativistic Gravitational Collapse.

Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints (2021)
Journal Article
Samende, & Fan. (2021). Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints. Astronomical Journal, https://doi.org/10.48550/arXiv.2108.09053

In this paper, we investigate an energy cost minimization problem for prosumers participating in peer-to-peer energy trading. Due to (i) uncertainties caused by renewable energy generation and consumption, (ii) difficulties in developing an accurate... Read More about Multi-Agent Deep Deterministic Policy Gradient Algorithm for Peer-to-Peer Energy Trading Considering Distribution Network Constraints.

Enhancement of medical images using fuzzy logic (2021)
Journal Article
Ahmed Fadil, Y., Al-Bander, B., & Radhi, H. Y. (2021). Enhancement of medical images using fuzzy logic. Indonesian Journal of Electrical Engineering and Computer Science, 23(3), 1478 - 1478. https://doi.org/10.11591/ijeecs.v23.i3.pp1478-1484

Image enhancement is one of the most critical subjects in computer vision and image processing fields. It can be considered as means to enrich the perception of images for human viewers. All kinds of images typically suffer from different problems su... Read More about Enhancement of medical images using fuzzy logic.

A Fuzzy Logic-Based Trust Estimation in Edge-Enabled Vehicular Ad Hoc Networks (2021)
Presentation / Conference Contribution
Hasan, M. M., Jahan, M., Kabir, S., & Wagner, C. (2021, July). A Fuzzy Logic-Based Trust Estimation in Edge-Enabled Vehicular Ad Hoc Networks. Presented at 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg, Luxembourg

Trust estimation of vehicles is vital for the correct functioning of Vehicular Ad Hoc Networks (VANETs) as it enhances their security by identifying reliable vehicles. However, accurate trust estimation still remains distant as existing works do not... Read More about A Fuzzy Logic-Based Trust Estimation in Edge-Enabled Vehicular Ad Hoc Networks.

Interval-Valued Regression - Sensitivity to Data Set Features (2021)
Presentation / Conference Contribution
Kabir, S., & Wagner, C. (2021, July). Interval-Valued Regression - Sensitivity to Data Set Features. Presented at 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Luxembourg, Luxembourg

Regression represents one of the most basic building blocks of data analysis and AI. Despite growing interest in interval-valued data across various fields, approaches to establish regression models for interval-valued data which address and handle t... Read More about Interval-Valued Regression - Sensitivity to Data Set Features.

Interleaved Deep Artifacts-Aware Attention Mechanism for Concrete Structural Defect Classification. (2021)
Journal Article
Mandal, B. (2021). Interleaved Deep Artifacts-Aware Attention Mechanism for Concrete Structural Defect Classification. IEEE Transactions on Image Processing, 6957 - 6969. https://doi.org/10.1109/TIP.2021.3100556

Automatic machine classification of concrete structural defects in images poses significant challenges because of multitude of problems arising from the surface texture, such as presence of stains, holes, colors, poster remains, graffiti, marking and... Read More about Interleaved Deep Artifacts-Aware Attention Mechanism for Concrete Structural Defect Classification..

Museums of the Future: Heritage Experiences in the Reality-Virtuality Continuum (2021)
Presentation / Conference Contribution
Woolley, S., Collins, T., Rhodes, R., & Polack, F. (2021, July). Museums of the Future: Heritage Experiences in the Reality-Virtuality Continuum. Presented at 34th British Human Computer Interaction Conference, London, UK - University of West London

In this paper we reflect on the interplay and the disconnects between real and virtual heritage experiences, and the fragmented nature of digital experiences. We consider the important engagement potential that virtual interactions bring to small les... Read More about Museums of the Future: Heritage Experiences in the Reality-Virtuality Continuum.