Skip to main content

Research Repository

Advanced Search

All Outputs (403)

Optimising Electrical Power Supply Sustainability Using a Grid-Connected Hybrid Renewable Energy System—An NHS Hospital Case Study (2021)
Journal Article
Kahwash, F., Barakat, B., Taha, A., Abbasi, Q. H., & Imran, M. A. (2021). Optimising Electrical Power Supply Sustainability Using a Grid-Connected Hybrid Renewable Energy System—An NHS Hospital Case Study. Energies, 14(21), Article 7084. https://doi.org/10.3390/en14217084

This study focuses on improving the sustainability of electrical supply in the healthcare system in the UK, to contribute to current efforts made towards the 2050 net-zero carbon target. As a case study, we propose a grid-connected hybrid renewable e... Read More about Optimising Electrical Power Supply Sustainability Using a Grid-Connected Hybrid Renewable Energy System—An NHS Hospital Case Study.

An Investigation into the Appropriateness of Car-Following Models in Assessing Autonomous Vehicles (2021)
Journal Article
Higatani, A., & Saleh, W. (2021). An Investigation into the Appropriateness of Car-Following Models in Assessing Autonomous Vehicles. Sensors, 21(21), Article 7131. https://doi.org/10.3390/s21217131

The dramatic progress of Intelligent Transportation Systems (ITS) has made autodriving technology extensively emphasised. Various models have been developed for the aim of modelling the behaviour of autonomous vehicles and their impacts on traffic, a... Read More about An Investigation into the Appropriateness of Car-Following Models in Assessing Autonomous Vehicles.

Life cycle assessment of 61 ducted gas heating upgrades in Australia (2021)
Journal Article
Peukes, I., Pomponi, F., & D'Amico, B. (2023). Life cycle assessment of 61 ducted gas heating upgrades in Australia. International Journal of Building Pathology and Adaptation, 41(1), 143-169. https://doi.org/10.1108/IJBPA-04-2021-0052

Operational energy use in buildings, accounts for 28% of global energy demand. One method to reduce operational energy is upgrading old appliances to more efficient ones. In Australia, the most common residential heating type is reverse-cycle heating... Read More about Life cycle assessment of 61 ducted gas heating upgrades in Australia.

Analytical study on growth-induced axisymmetric deformations and shape-control of circular hyperelastic plates (2021)
Journal Article
Li, Z., Wang, Q., Du, P., Kadapa, C., Hossain, M., & Wang, J. (2022). Analytical study on growth-induced axisymmetric deformations and shape-control of circular hyperelastic plates. International Journal of Engineering Science, 170, Article 103594. https://doi.org/10.1016/j.ijengsci.2021.103594

Growth of soft material plates is commonly observed in nature. However, the relations between growth fields and shape changes of the plate samples remain poorly understood. The current work aims to derive some analytical results for the growth-induce... Read More about Analytical study on growth-induced axisymmetric deformations and shape-control of circular hyperelastic plates.

Ultra-low-power, high-accuracy 434 MHz indoor positioning system for smart homes leveraging machine learning models (2021)
Journal Article
Nawaz, H., Tahir, A., Ahmed, N., Fayyaz, U. U., Mahmood, T., Jaleel, A., Gogate, M., Dashtipour, K., Masud, U., & Abbasi, Q. (2021). Ultra-low-power, high-accuracy 434 MHz indoor positioning system for smart homes leveraging machine learning models. Entropy, 23(11), Article 1401. https://doi.org/10.3390/e23111401

Global navigation satellite systems have been used for reliable location-based services in outdoor environments. However, satellite-based systems are not suitable for indoor positioning due to low signal power inside buildings and low accuracy of 5 m... Read More about Ultra-low-power, high-accuracy 434 MHz indoor positioning system for smart homes leveraging machine learning models.

A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT (2021)
Journal Article
Almas Khan, M., Khan, M. A., Ullah Jan, S., Ahmad, J., Jamal, S. S., Shah, A. A., Pitropakis, N., Buchanan, W. J., Alonistioti, N., Panagiotakis, S., & Markakis, E. K. (2021). A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT. Sensors, 21(21), Article 7016. https://doi.org/10.3390/s21217016

A large number of smart devices in Internet of Things (IoT) environments communicate via different messaging protocols. Message Queuing Telemetry Transport (MQTT) is a widely used publish–subscribe-based protocol for the communication of sensor or ev... Read More about A Deep Learning-Based Intrusion Detection System for MQTT Enabled IoT.

Dielectrorheology of Aspect-Ratio-Tailored Carbon Nanotube/Polyethylene Composites under Large Deformations: Implications for High-Temperature Dielectrics (2021)
Journal Article
Erfanian, E., Kamkar, M., Williams, D., Zamani Keteklahijani, Y., Salehiyan, R., Ray, S. S., Arjmand, M., & Sundararaj, U. (2021). Dielectrorheology of Aspect-Ratio-Tailored Carbon Nanotube/Polyethylene Composites under Large Deformations: Implications for High-Temperature Dielectrics. ACS Applied Nano Materials, 4(11), 11493-11504. https://doi.org/10.1021/acsanm.1c01698

In this work, advanced custom-synthesized carbon nanotube (CNT)-based polymer nanocomposites were designed and prepared for electrical applications, with an innovative strategy in terms of catalyst preparation. The physical structures of the CNTs wer... Read More about Dielectrorheology of Aspect-Ratio-Tailored Carbon Nanotube/Polyethylene Composites under Large Deformations: Implications for High-Temperature Dielectrics.

Trips for Outdoor Exercise at Different Stages of the COVID-19 Pandemic in Scotland   (2021)
Journal Article
Semple, T., Fountas, G., & Fonzone, A. (2021). Trips for Outdoor Exercise at Different Stages of the COVID-19 Pandemic in Scotland  . Journal of transport & health, 23, Article 101280. https://doi.org/10.1016/j.jth.2021.101280

Introduction The COVID-19 pandemic has had exceptional effects on travel behaviour in the UK. This paper focuses specifically on the outdoor exercise trips of Scottish residents at several distinct points of the COVID-19 pandemic. Given the negative... Read More about Trips for Outdoor Exercise at Different Stages of the COVID-19 Pandemic in Scotland  .

Enhancing the practicality of tools to estimate the whole life embodied carbon of building structures via machine-learning models (2021)
Journal Article
Pomponi, F., Luque Anguita, M., Lange, M., D'Amico, B., & Hart, E. (2021). Enhancing the practicality of tools to estimate the whole life embodied carbon of building structures via machine-learning models. Frontiers in Built Environment, 7, Article 745598. https://doi.org/10.3389/fbuil.2021.745598

The construction and operation of buildings account for significant environmental impacts, including greenhouse gas (GHG) emissions, energy demand, resource consumption and waste generation. While the operation of buildings is fairly well regulated a... Read More about Enhancing the practicality of tools to estimate the whole life embodied carbon of building structures via machine-learning models.

Control Strategies for Energy Efficiency at PNU’s Metro System (2021)
Journal Article
Saleh, W., Justin, S., Alsawah, G., Al Ghamdi, T., & Lashin, M. M. A. (2021). Control Strategies for Energy Efficiency at PNU’s Metro System. Energies, 14(20), Article 6660. https://doi.org/10.3390/en14206660

It is broadly acknowledged that there is an urgent need to reduce carbon-based mobility systems and increase renewable energy alternatives. The automotive industry is one of the greatest consumers of energy in the world. It is fronted with many chall... Read More about Control Strategies for Energy Efficiency at PNU’s Metro System.

Dual-Polarized Highly Folded Bowtie Antenna with Slotted Self-Grounded Structure for Sub-6 GHz 5G Applications (2021)
Journal Article
Alibakhshikenari, M., Virdee, B. S., See, C. H., Shukla, P., Mansouri Moghaddam, S., Uz Zaman, A., Shafqaat, S., Akinsolu, M. O., Liu, B., Yang, J., Abd-Alhameed, R., Falcone, F., & Limiti, E. (2022). Dual-Polarized Highly Folded Bowtie Antenna with Slotted Self-Grounded Structure for Sub-6 GHz 5G Applications. IEEE Transactions on Antennas and Propagation, 70(4), 3028-3033. https://doi.org/10.1109/TAP.2021.3118784

In this paper, a novel dual-polarized highly-folded self-grounded Bowtie antenna that is excited through I-shaped slots is proposed for applications in sub-6GHz 5G multiple-input-multiple-output (MIMO) antenna systems. The antenna consists of two pai... Read More about Dual-Polarized Highly Folded Bowtie Antenna with Slotted Self-Grounded Structure for Sub-6 GHz 5G Applications.

A Study of Gas Transport Mechanisms for CH4/CO2 Using Ceramic Membranes (2021)
Journal Article
Ogunlude, P., Abunumah, O., Muhammad-Sukki, F., & Gobina, E. (2021). A Study of Gas Transport Mechanisms for CH4/CO2 Using Ceramic Membranes. Crystals, 11(10), Article 1224. https://doi.org/10.3390/cryst11101224

Greenhouse gas emissions (GHGs) and their effects have been a matter of global concern over the past decade. As the demand for energy grows in developing economies, there has been a challenge in harnessing and utilising sustainable forms of energy to... Read More about A Study of Gas Transport Mechanisms for CH4/CO2 Using Ceramic Membranes.

A large margin piecewise linear classifier with fusion of deep features in the diagnosis of COVID-19 (2021)
Journal Article
Azouji, N., Sami, A., Taheri, M., & Müller, H. (2021). A large margin piecewise linear classifier with fusion of deep features in the diagnosis of COVID-19. Computers in Biology and Medicine, 139, Article 104927. https://doi.org/10.1016/j.compbiomed.2021.104927

The world has experienced epidemics of coronavirus infections several times over the last two decades. Recent studies have shown that using medical imaging techniques can be useful in developing an automatic computer-aided diagnosis system to detect... Read More about A large margin piecewise linear classifier with fusion of deep features in the diagnosis of COVID-19.

Some Notes on Granular Mixtures with Finite, Discrete Fractal Distribution (2021)
Journal Article
Imre, E., Talata, I., Barreto, D., Datcheva, M., Baille, W., Georgiev, I., Fityus, S., Singh, V. P., Casini, F., Guida, G., Trang, P. Q., & Lőrincz, J. (2022). Some Notes on Granular Mixtures with Finite, Discrete Fractal Distribution. Periodica Polytechnica Civil Engineering, 66(1), 179-192. https://doi.org/10.3311/ppci.19103

Why fractal distribution is so frequent? It is true that fractal dimension is always less than 3? Why fractal dimension of 2.5 to 2.9 seems to be steady-state or stable? Why the fractal distributions are the limit distributions of the degradation pat... Read More about Some Notes on Granular Mixtures with Finite, Discrete Fractal Distribution.

Dynamic Hand Gesture Recognition Using 3D-CNN and LSTM Networks (2021)
Journal Article
Ur Rehman, M., Ahmed, F., Attique Khan, M., Tariq, U., Abdulaziz Alfouzan, F., M. Alzahrani, N., & Ahmad, J. (2021). Dynamic Hand Gesture Recognition Using 3D-CNN and LSTM Networks. Computers, Materials & Continua, 70(3), 4675-4690. https://doi.org/10.32604/cmc.2022.019586

Recognition of dynamic hand gestures in real-time is a difficult task because the system can never know when or from where the gesture starts and ends in a video stream. Many researchers have been working on vision-based gesture recognition due to it... Read More about Dynamic Hand Gesture Recognition Using 3D-CNN and LSTM Networks.

Cloud-based Sustainability Assessment (CSA) System for Automating the Sustainability Decision-Making Process of Built Assets (2021)
Journal Article
Olawumi, T. O., & Chan, D. W. (2022). Cloud-based Sustainability Assessment (CSA) System for Automating the Sustainability Decision-Making Process of Built Assets. Expert Systems with Applications, 188, Article 116020. https://doi.org/10.1016/j.eswa.2021.116020

Digital tools help facilitate the implementation of sustainability practices in the built environment in the era of rapid urban developments. However, the extant literature revealed salient gaps in the use of cloud-based systems and digital tools to... Read More about Cloud-based Sustainability Assessment (CSA) System for Automating the Sustainability Decision-Making Process of Built Assets.

Joint Coding and Scheduling Optimization for Distributed Learning Over Wireless Edge Networks (2021)
Journal Article
Van Huynh, N., Hoang, D. T., Nguyen, D. N., & Dutkiewicz, E. (2022). Joint Coding and Scheduling Optimization for Distributed Learning Over Wireless Edge Networks. IEEE Journal on Selected Areas in Communications, 40(2), 484-498. https://doi.org/10.1109/jsac.2021.3118432

Unlike theoretical analysis of distributed learning (DL) in the literature, DL over wireless edge networks faces the inherent dynamics/uncertainty of wireless connections and edge nodes, making DL less efficient or even inapplicable under the highly... Read More about Joint Coding and Scheduling Optimization for Distributed Learning Over Wireless Edge Networks.

Verification of the Photogrammetric Approach on the Torsion Test Method for Timber Beams (2021)
Journal Article
Mohamed, A., Uheida, K., Quan, Y., & Zhang, H. (2022). Verification of the Photogrammetric Approach on the Torsion Test Method for Timber Beams. International Wood Products Journal, 13(1), 3-14. https://doi.org/10.1080/20426445.2021.1983690

The photogrammetric approach was proposed in this study to evaluate torsional behaviour of glulam timber beams during the torsion test. The main objectives of the experimental work were to investigate the applicability of the photogrammetric approach... Read More about Verification of the Photogrammetric Approach on the Torsion Test Method for Timber Beams.

Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis (2021)
Journal Article
Ferrag, M. A., Friha, O., Maglaras, L., Janicke, H., & Shu, L. (2021). Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis. IEEE Access, 9, 138509-138542. https://doi.org/10.1109/access.2021.3118642

In this article, we present a comprehensive study with an experimental analysis of federated deep learning approaches for cyber security in the Internet of Things (IoT) applications. Specifically, we first provide a review of the federated learning-b... Read More about Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis.