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All Outputs (98)

OMEX metadata specification (version 1.2). (2021)
Journal Article
Nickerson, D., Waltemath, D., Gennari, J., König, M., Misirli, G., & Neal, M. (2021). OMEX metadata specification (version 1.2). Journal of Integrative Bioinformatics, https://doi.org/10.1515/jib-2021-0020

A standardized approach to annotating computational biomedical models and their associated files can facilitate model reuse and reproducibility among research groups, enhance search and retrieval of models and data, and enable semantic comparisons be... Read More about OMEX metadata specification (version 1.2)..

Synthetic biology open language visual (SBOL visual) version 3.0. (2021)
Journal Article
Baig, H., Myers, C., McLaughlin, J., Scott-Brown, J., Vaidyanathan, P., Gorochowski, T., Misirli, G., Beal, J., & Fontanarossa, P. (2021). Synthetic biology open language visual (SBOL visual) version 3.0. Journal of Integrative Bioinformatics, https://doi.org/10.1515/jib-2021-0013

People who engineer biological organisms often find it useful to draw diagrams in order to communicate both the structure of the nucleic acid sequences that they are engineering and the functional relationships between sequence features and other mol... Read More about Synthetic biology open language visual (SBOL visual) version 3.0..

Federated learning for AI to improve patient care using wearable and IoMT sensors (2021)
Presentation / Conference Contribution
Farhad, A., Woolley, S., & Andras, P. (2021, August). Federated learning for AI to improve patient care using wearable and IoMT sensors. Presented at 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI), Victoria, BC, Canada

This paper presents a brief overview of ongoing research on creating a data-driven health monitoring and diagnostics ecosystem based on Artificial Intelligence (AI) and Internet of Medical Things (IoMT) sensors and wearables at the point where data i... Read More about Federated learning for AI to improve patient care using wearable and IoMT sensors.

Deep Learning Models for Automatic Makeup Detection (2021)
Journal Article
Alzahrani, T., Al-Bander, B., & Al-Nuaimy, W. (2021). Deep Learning Models for Automatic Makeup Detection. AI, 2(4), 497 - 511. https://doi.org/10.3390/ai2040031

<jats:p>Makeup can disguise facial features, which results in degradation in the performance of many facial-related analysis systems, including face recognition, facial landmark characterisation, aesthetic quantification and automated age estimation... Read More about Deep Learning Models for Automatic Makeup Detection.

Elastic Surface Waves Induced by Internal Sources (2021)
Journal Article
Prikazchikov, D., Chevrychkina, A., Chorozoglou, A., & Khajiyeva, L. (2021). Elastic Surface Waves Induced by Internal Sources. Journal of Mathematical Sciences, 258, 545 - 552. https://doi.org/10.1007/s10958-021-05565-2

The paper is focused on the surface wave field induced by an internal time-harmonic point source embedded in the elastic half space. By using the superposition principle, we first analyze the disturbances caused by the embedded source in an unbounded... Read More about Elastic Surface Waves Induced by Internal Sources.

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

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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.