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.

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.

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.

Art for Computer Scientists: Processing as an Open-Source Art Medium for Computer Science Undergraduates (2021)
Presentation / Conference
(2021, July). Art for Computer Scientists: Processing as an Open-Source Art Medium for Computer Science Undergraduates. Presented at Electronic Visualisation & the Arts (EVA) 2021, London

Art undergraduates increasingly engage in the design and coding of digital media and generative art, for example, using the open-source Processing library and Integrated Development Environment (IDE) created for visual artists. An equivalent cross-ov... Read More about Art for Computer Scientists: Processing as an Open-Source Art Medium for Computer Science Undergraduates.

A Wronskian method for elastic waves propagating along a tube (2021)
Journal Article
Chapman, & Sorokin, S. (2021). A Wronskian method for elastic waves propagating along a tube. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 1-19. https://doi.org/10.1098/rspa.2021.0202

A technique involving the higher Wronskians of a differential equation is presented for analysing the dispersion relation in a class of wave propagation problems. The technique shows that the complicated transcendental-function expressions which occu... Read More about A Wronskian method for elastic waves propagating along a tube.

Near-resonant regimes of the moving load on a pre-stressed incompressible elastic half-space (2021)
Journal Article
Kudaibergenov, A., Kudaibergenov, A., & Prikazchikov, D. (2021). Near-resonant regimes of the moving load on a pre-stressed incompressible elastic half-space. Acta Mechanica et Automatica, 15(1), 30-36. https://doi.org/10.2478/ama-2021-0005

The article is concerned with the analysis of the problem for a concentrated line load moving at a constant speed along the surface of a pre-stressed, incompressible, isotropic elastic half-space, within the framework of the plane-strain assumption.... Read More about Near-resonant regimes of the moving load on a pre-stressed incompressible elastic half-space.

Post-buckling of an elastic half-space coated by double layers (2021)
Journal Article
Fu. (2021). Post-buckling of an elastic half-space coated by double layers. Mathematics and Mechanics of Solids, https://doi.org/10.1177/10812865211010886

We investigate the buckling and post-buckling properties of a hyperelastic half-space coated by two hyperelastic layers when the composite structure is subjected to a uniaxial compression. In the case of a half-space coated with a single layer, it is... Read More about Post-buckling of an elastic half-space coated by double layers.

Integrated Multi-Model Face Shape and Eye Attributes Identification for Hair Style and Eyelashes Recommendation (2021)
Journal Article
Al-Bander, B., Alzahrani, T., & Al-Nuaimy, W. (2021). Integrated Multi-Model Face Shape and Eye Attributes Identification for Hair Style and Eyelashes Recommendation. Computation, 9(5), 54 - 54. https://doi.org/10.3390/computation9050054

<jats:p>Identifying human face shape and eye attributes is the first and most vital process before applying for the right hairstyle and eyelashes extension. The aim of this research work includes the development of a decision support program to const... Read More about Integrated Multi-Model Face Shape and Eye Attributes Identification for Hair Style and Eyelashes Recommendation.

Deep Regularized Discriminative Network (2021)
Journal Article
Mandal, B. (2021). Deep Regularized Discriminative Network. https://doi.org/10.1007/s42979-021-00647-z

Traditional linear discriminant analysis (LDA) approach discards the eigenvalues which are very small or equivalent to zero, but quite often eigenvectors corresponding to zero eigenvalues are the important dimensions for discriminant analysis. We pro... Read More about Deep Regularized Discriminative Network.

The Effect of Social Information Use without Learning on the Evolution of Behaviour (2021)
Journal Article
Channon. (2021). The Effect of Social Information Use without Learning on the Evolution of Behaviour. Artificial Life, 431-454. https://doi.org/10.1162/artl_a_00328

In a recent paper by Borg & Channon [6] it was shown that social information alone, decoupled from any within-lifetime learning, can result in improved performance on a food foraging task compared to when so13 cial information is unavailable. Here we... Read More about The Effect of Social Information Use without Learning on the Evolution of Behaviour.

Multi-Criteria Decision Support System for Lung Cancer Prediction (2021)
Presentation / Conference Contribution
Al-Bander, B., Fadil, Y., & Mahdi, H. (2020, December). Multi-Criteria Decision Support System for Lung Cancer Prediction. Presented at 2nd International Scientific Conference of Engineering Sciences (ISCES 2020), Diyala, Iraq

<jats:title>Abstract</jats:title> <jats:p>Lung cancer is one of the most common deadly malignant tumours, with the most rapid morbidity and death worldwide. Cancer risk prediction is a challenging and complex task in the field of healthcare. Many stu... Read More about Multi-Criteria Decision Support System for Lung Cancer Prediction.

A Simple 3D-Only Evolutionary Bipedal System with Albatross Morphology for Increased Performance (2020)
Journal Article
Channon. (2020). A Simple 3D-Only Evolutionary Bipedal System with Albatross Morphology for Increased Performance. IEEE Computational Intelligence Magazine, 125-132. https://doi.org/10.1109/SSCI47803.2020.9308500

Bipedal walking is a difficult behaviour to encode into an evolutionary neural network, particularly in three-dimensional environments. Agents must be constantly maintaining balance alongside their primary objectives. Here we re-implement a simple ev... Read More about A Simple 3D-Only Evolutionary Bipedal System with Albatross Morphology for Increased Performance.

A family of languages for trustworthy agent-based simulation (2020)
Journal Article
(2020). A family of languages for trustworthy agent-based simulation. https://doi.org/10.1145/3426425.3426929

Simulation is a key tool for researching complex system behaviour. Agent-based simulation has been applied across domains, such as biology, health, economics and urban sciences. However, engineering robust, efficient, maintainable, and reliable agent... Read More about A family of languages for trustworthy agent-based simulation.

Assessing the usability of virtual learning environments in higher education (2020)
Thesis
Abuhlfaia, K. M. O. Assessing the usability of virtual learning environments in higher education. (Thesis). Keele University. https://keele-repository.worktribe.com/output/418095

Context: E-learning is an integral part of the modern higher education system, and therefore it is essential that students and staff are able to use systems that support E-learning, such as Virtual Learning Environments (VLEs), effectively. Usability... Read More about Assessing the usability of virtual learning environments in higher education.

The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering (2020)
Journal Article
Grünberg, R., Bartley, B., Scott-Brown, J., Vaidyanathan, P., Fontanarrosa, P., Oberortner, E., Wipat, A., Gorochowski, T., Myers, C., McLaughlin, J., Beal, J., & Misirli, G. (2020). The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering. Frontiers in Bioengineering and Biotechnology, https://doi.org/10.3389/fbioe.2020.01009

The Synthetic Biology Open Language (SBOL) is a community-developed data standard that allows knowledge about biological designs to be captured using a machine-tractable, ontology-backed representation that is built using Semantic Web technologies. W... Read More about The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering.

When Specialists Transition to Generalists: Evolutionary Pressure in Lexicase Selection (2020)
Journal Article
(2020). When Specialists Transition to Generalists: Evolutionary Pressure in Lexicase Selection. Artificial Life, 719-726. https://doi.org/10.1162/isal_a_00254

Generalized behavior is a long standing goal for evolutionary robotics. Behaviors for a given task should be robust to perturbation and capable of operating across a variety of environments. We have previously shown that Lexicase selection evolves hi... Read More about When Specialists Transition to Generalists: Evolutionary Pressure in Lexicase Selection.

A fog-based hybrid intelligent system for energy saving in smart buildings (2020)
Journal Article
Ortolani. (2020). A fog-based hybrid intelligent system for energy saving in smart buildings. Journal of Ambient Intelligence and Humanized Computing, 2793-2807. https://doi.org/10.1007/s12652-019-01375-2

In recent years, the widespread diffusion of pervasive sensing devices and the increasing need for reducing energy consumption have encouraged research in the energy-aware management of smart environments. Following this direction, this paper propose... Read More about A fog-based hybrid intelligent system for energy saving in smart buildings.

Control and suppression of elastic waves using periodic metasurfaces and bridges (2020)
Thesis
Wootton, P. T. Control and suppression of elastic waves using periodic metasurfaces and bridges. (Thesis). Keele University. https://keele-repository.worktribe.com/output/417288

This thesis discusses how wave propagation in continuous linearly elastic media can be controlled or suppressed using periodic structures. This involves controlling 2D waves on a membrane, 3D longitudinal and transverse waves in a linearly elastic bu... Read More about Control and suppression of elastic waves using periodic metasurfaces and bridges.

Evolving developmental, recurrent and convolutional neural networks for deliberate motion planning in sparse reward tasks (2020)
Thesis
Jolley, B. P. Evolving developmental, recurrent and convolutional neural networks for deliberate motion planning in sparse reward tasks. (Thesis). Keele University. https://keele-repository.worktribe.com/output/417191

Motion planning algorithms have seen a diverse set of approaches in a variety of disciplines. In the domain of artificial evolutionary systems, motion planning has been included in models to achieve sophisticated deliberate behaviours. These algorith... Read More about Evolving developmental, recurrent and convolutional neural networks for deliberate motion planning in sparse reward tasks.

Report on Workshop: Planning the Future of Agent Simulation (2020)
Journal Article
(2020). Report on Workshop: Planning the Future of Agent Simulation. Artificial Life, 307 - 313. https://doi.org/10.1162/artl_a_00320

In May 2019, a workshop on principled development of future agent-based simulations was held at Keele University. Participants spanned companies and academia, and a range of domains of interest, as well as participant career stages. This report summa... Read More about Report on Workshop: Planning the Future of Agent Simulation.