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Causality between challenges, availability, and extent of use of local building materials (2022)
Journal Article
Windapo, A., Olugboyega, O., Pomponi, F., Moghayedi, A., & Emuze, F. (2022). Causality between challenges, availability, and extent of use of local building materials. South African Journal of Science, 118(7/8), https://doi.org/10.17159/sajs.2022/9534

The promotion of sustainable practice in construction has resulted in a renewed focus on local building materials (LBMs). However, existing studies have not provided an extensive understanding of the challenges in the use and awareness of the availab... Read More about Causality between challenges, availability, and extent of use of local building materials.

Stabilisation by adaptive feedback control for positive difference equations with applications in pest management (2022)
Journal Article
Edholm, C., Guiver, C., Rebarber, R., Tenhumberg, B., & Townley, S. (2022). Stabilisation by adaptive feedback control for positive difference equations with applications in pest management. SIAM Journal on Control and Optimization, 60(4), 2214-2245. https://doi.org/10.1137/21m1398240

An adaptive feedback control scheme is proposed for stabilising a class of forced nonlinear positive difference equations. The adaptive scheme is based on so-called high-gain adaptive controllers, and contains substantial robustness with respect... Read More about Stabilisation by adaptive feedback control for positive difference equations with applications in pest management.

A novel security and authentication method for infrared medical image with discrete time chaotic systems (2022)
Journal Article
Boyraz, O. F., Guleryuz, E., Akgul, A., Yildiz, M. Z., Kiran, H. E., & Ahmad, J. (2022). A novel security and authentication method for infrared medical image with discrete time chaotic systems. Optik, 267, Article 169717. https://doi.org/10.1016/j.ijleo.2022.169717

Objective: Hand vein images have become important biometric signs used for identification systems. Also, dorsal hand vein images have noteworthy advantages in terms of reliability and contactless procedure. Surgically changing the vascular pattern u... Read More about A novel security and authentication method for infrared medical image with discrete time chaotic systems.

Arabic sentiment analysis using dependency-based rules and deep neural networks (2022)
Journal Article
Diwali, A., Dashtipour, K., Saeedi, K., Gogate, M., Cambria, E., & Hussain, A. (2022). Arabic sentiment analysis using dependency-based rules and deep neural networks. Applied Soft Computing, 127, Article 109377. https://doi.org/10.1016/j.asoc.2022.109377

With the growth of social platforms in recent years and the rapid increase in the means of communication through these platforms, a significant amount of textual data is available that contains an abundance of individuals’ opinions. Sentiment analysi... Read More about Arabic sentiment analysis using dependency-based rules and deep neural networks.

Solution blow spun piezoelectric nanofibers membrane for energy harvesting applications (2022)
Journal Article
Omran, N., Elnabawy, E., Le, B., Trabelsi, M., Gamal, M., Kandas, I., Hassanin, A. H., Shyha, I., & Shehata, N. (2022). Solution blow spun piezoelectric nanofibers membrane for energy harvesting applications. Reactive and Functional Polymers, 179, Article 105365. https://doi.org/10.1016/j.reactfunctpolym.2022.105365

Energy harvesting systems have benefited from the use of one-dimensional nanostructures such as nanofibers. For example, the conversion of mechanical energy to electrical energy has paved the way for nanofibers to be used in a wide range of applicati... Read More about Solution blow spun piezoelectric nanofibers membrane for energy harvesting applications.

Ensemble learning-based IDS for sensors telemetry data in IoT networks (2022)
Journal Article
Naz, N., Khan, M. A., Alsuhibany, S. A., Diyan, M., Tan, Z., Khan, M. A., & Ahmad, J. (2022). Ensemble learning-based IDS for sensors telemetry data in IoT networks. Mathematical Biosciences and Engineering, 19(10), 10550-10580. https://doi.org/10.3934/mbe.2022493

The Internet of Things (IoT) is a paradigm that connects a range of physical smart devices to provide ubiquitous services to individuals and automate their daily tasks. IoT devices collect data from the surrounding environment and communicate with ot... Read More about Ensemble learning-based IDS for sensors telemetry data in IoT networks.

New Method to Implement and Analysis of Medical System in Real Time (2022)
Journal Article
Abd Elgawad, Y. Z., Youssef, M. I., Nasser, T. M., Almslmany, A., S. I. Amar, A., Mohamed, A. A., Parchin, N. O., Abd-Alhameed, R. A., Mohamed, H. G., & Moussa, K. H. (2022). New Method to Implement and Analysis of Medical System in Real Time. Healthcare, 10(7), Article 1357. https://doi.org/10.3390/healthcare10071357

The use of information technology and technological medical devices has contributed significantly to the transformation of healthcare. Despite that, many problems have arisen in diagnosing or predicting diseases, either as a result of human errors or... Read More about New Method to Implement and Analysis of Medical System in Real Time.

Analysis of colliding index on impact behavior of RC columns under repeated impact loading (2022)
Journal Article
Tantrapongsaton, W., Hansapinyo, C., Wongmatar, P., Limkatanyu, S., Zhang, H., & Charatpangoon, B. (2022). Analysis of colliding index on impact behavior of RC columns under repeated impact loading. Computers and Concrete, 30(1), 19-32. https://doi.org/10.12989/cac.2022.30.1.019

This paper presents an investigation into the failure of RC columns under impact loadings. A numerical simulation of 19 identical RC columns subjected to single and repeated impact loadings was performed. A free-falling hammer was dropped at midspan... Read More about Analysis of colliding index on impact behavior of RC columns under repeated impact loading.

Minimising line segments in linear diagrams is NP-hard (2022)
Journal Article
Chapman, P., Sim, K., & Hao Chen, H. (2022). Minimising line segments in linear diagrams is NP-hard. Journal of Computer Languages, 71, Article 101136. https://doi.org/10.1016/j.cola.2022.101136

Linear diagrams have been shown to be an effective method of representing set-based data. Moreover, a number of guidelines have been proven to improve the efficacy of linear diagrams. One of these guidelines is to minimise the number of line segments... Read More about Minimising line segments in linear diagrams is NP-hard.

Machine learning-enabled quantitative ultrasound techniques for tissue differentiation (2022)
Journal Article
Thomson, H., Yang, S., & Cochran, S. (2022). Machine learning-enabled quantitative ultrasound techniques for tissue differentiation. Journal of Medical Ultrasonics, 49, 517-528. https://doi.org/10.1007/s10396-022-01230-6

Purpose: Quantitative ultrasound (QUS) infers properties about tissue microstructure from backscattered radio-frequency ultrasound data. This paper describes how to implement the most practical QUS parameters using an ultrasound research system for t... Read More about Machine learning-enabled quantitative ultrasound techniques for tissue differentiation.

A novel multiple kernel fuzzy topic modeling technique for biomedical data (2022)
Journal Article
Rashid, J., Kim, J., Hussain, A., Naseem, U., & Juneja, S. (2022). A novel multiple kernel fuzzy topic modeling technique for biomedical data. BMC Bioinformatics, 23(1), Article 275. https://doi.org/10.1186/s12859-022-04780-1

Background: Text mining in the biomedical field has received much attention and regarded as the important research area since a lot of biomedical data is in text format. Topic modeling is one of the popular methods among text mining techniques used t... Read More about A novel multiple kernel fuzzy topic modeling technique for biomedical data.

Evaluation Mechanism for Decentralised Collaborative Pattern Learning in Heterogeneous Vehicular Networks (2022)
Journal Article
Qiao, C., Qiu, J., Tan, Z., Min, G., Zomaya, A. Y., & Tian, Z. (2023). Evaluation Mechanism for Decentralised Collaborative Pattern Learning in Heterogeneous Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 24(11), 13123 - 13132. https://doi.org/10.1109/TITS.2022.3186630

Collaborative machine learning, especially Feder-ated Learning (FL), is widely used to build high-quality Machine Learning (ML) models in the Internet of Vehicles (IoV). In this paper, we study the performance evaluation problem in an inherently hete... Read More about Evaluation Mechanism for Decentralised Collaborative Pattern Learning in Heterogeneous Vehicular Networks.

Novel single and multi-layer echo-state recurrent autoencoders for representation learning (2022)
Journal Article
Chouikhi, N., Ammar, B., Hussain, A., & Alimi, A. M. (2022). Novel single and multi-layer echo-state recurrent autoencoders for representation learning. Engineering Applications of Artificial Intelligence, 114, Article 105051. https://doi.org/10.1016/j.engappai.2022.105051

Representation learning impacts the performance of Machine Learning (ML) models. Feature extraction-based methods such as Auto-Encoders (AEs) are used to find new, more accurate data representations from original ones. They perform efficiently on a s... Read More about Novel single and multi-layer echo-state recurrent autoencoders for representation learning.

Large amplitude oscillatory shear flow: Microstructural assessment of polymeric systems (2022)
Journal Article
Kamkar, M., Salehiyan, R., Goudoulas, T. B., Abbasi, M., Saengow, C., Erfanian, E., Sadeghi, S., Natale, G., Rogers, S. A., Jeffrey Giacomin, A., & Sundararaj, U. (2022). Large amplitude oscillatory shear flow: Microstructural assessment of polymeric systems. Progress in Polymer Science, 132, Article 101580. https://doi.org/10.1016/j.progpolymsci.2022.101580

Since the first publications of large amplitude oscillatory shear (LAOS) responses of polymeric materials in the 1960s, different approaches have been developed to express, analyze, and interpret nonlinear viscoelastic behavior of materials. LAOS is... Read More about Large amplitude oscillatory shear flow: Microstructural assessment of polymeric systems.

Educational data mining to predict students' academic performance: A survey study (2022)
Journal Article
Batool, S., Rashid, J., Nisar, M. W., Kim, J., Kwon, H., & Hussain, A. (2023). Educational data mining to predict students' academic performance: A survey study. Education and Information Technologies, 28(1), 905-971. https://doi.org/10.1007/s10639-022-11152-y

Educational data mining is an emerging interdisciplinary research area involving both education and informatics. It has become an imperative research area due to many advantages that educational institutions can achieve. Along these lines, various da... Read More about Educational data mining to predict students' academic performance: A survey study.

MTM-Inspired Graphene-Based THz MIMO Antenna Configurations Using Characteristic Mode Analysis for 6G/IoT Applications (2022)
Journal Article
Khaleel, S. A., Hamad, E. K. I., Parchin, N. O., & Saleh, M. B. (2022). MTM-Inspired Graphene-Based THz MIMO Antenna Configurations Using Characteristic Mode Analysis for 6G/IoT Applications. Electronics, 11(14), Article 2152. https://doi.org/10.3390/electronics11142152

6G wireless communications will be immersed in the future with different applications. It is expected to support all IoT services and satellite communications, and it is expected to support artificial intelligence (AI) and machine learning (ML). The... Read More about MTM-Inspired Graphene-Based THz MIMO Antenna Configurations Using Characteristic Mode Analysis for 6G/IoT Applications.

Modelling the Impact of Individual Preferences on Traffic Policies (2022)
Journal Article
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2022). Modelling the Impact of Individual Preferences on Traffic Policies. SN Computer Science, 3(5), Article 365. https://doi.org/10.1007/s42979-022-01253-3

Urban traffic is a system always prone to overload, often approaching breakdown during rush hour times. Well adjusted modifications of traffic policies, with appropriate interventions, promise potential improvements by inducing change in both individ... Read More about Modelling the Impact of Individual Preferences on Traffic Policies.

Quantifying the per-capita contribution of all components of a migratory cycle: a modelling framework (2022)
Journal Article
Smith, P., Guiver, C., & Adams, B. (2022). Quantifying the per-capita contribution of all components of a migratory cycle: a modelling framework. Ecological Modelling, 471, Article 110056. https://doi.org/10.1016/j.ecolmodel.2022.110056

Migratory species make use of different habitats and pathways at different life stages, and in different seasons. Ecological management strategies proposed for migratory species should acknowledge the importance of each component of the migratory cyc... Read More about Quantifying the per-capita contribution of all components of a migratory cycle: a modelling framework.

Electrochemical and physicochemical degradability evaluation of printed flexible carbon electrodes in seawater (2022)
Journal Article
Franco, F. F., Dervin, S., & Manjakkal, L. (2022). Electrochemical and physicochemical degradability evaluation of printed flexible carbon electrodes in seawater. Journal of Electroanalytical Chemistry, 920, Article 116592. https://doi.org/10.1016/j.jelechem.2022.116592

The environmental impact of metals and non-degradable plastics in printed electrodes has highlighted the need of employing sustainable materials in environmental monitoring. In this work, we developed a new sustainable graphite-based paste (G-PE) pri... Read More about Electrochemical and physicochemical degradability evaluation of printed flexible carbon electrodes in seawater.