Skip to main content

Research Repository

Advanced Search

All Outputs (604)

Neutron Spectroscopy Evidence for a Possible Magnetic-Field-Induced Gapless Quantum-Spin-Liquid Phase in a Kitaev Material α-RuCl3 (2022)
Journal Article
Zhao, X., Ran, K., Wang, J., Bao, S., Shangguan, Y., Huang, Z., Liao, J., Zhang, B., Cheng, S., Xu, H., Wang, W., Dong, Z., Meng, S., Lu, Z., Yano, S., Yu, S., Li, J., & Wen, J. (2022). Neutron Spectroscopy Evidence for a Possible Magnetic-Field-Induced G

As one of the most promising Kitaev quantum-spin-liquid (QSL) candidates, α-RuCl3 has received a great deal of attention. However, its ground state exhibits a long-range zigzag magnetic order, which defies the QSL phase. Nevertheless, the magnetic or... Read More about Neutron Spectroscopy Evidence for a Possible Magnetic-Field-Induced Gapless Quantum-Spin-Liquid Phase in a Kitaev Material α-RuCl3.

Fines content effects on liquefaction susceptibility, void ratio & soil fabric: a grading entropy approach (2022)
Presentation / Conference Contribution
Leak, J. (2022, April). Fines content effects on liquefaction susceptibility, void ratio & soil fabric: a grading entropy approach. Paper presented at 18th European Mechanics of Materials Conference: Mechanics of porous and granular materials, Oxford

These slides were presented at the 18th European Mechanics of Materials Conference: Mechanics of porous and granular materials (2022). They discuss research into the effect of increasing fines content in soils with regard to their internal stability.... Read More about Fines content effects on liquefaction susceptibility, void ratio & soil fabric: a grading entropy approach.

Accelerated Diagnosis of Novel Coronavirus (COVID-19)—Computer Vision with Convolutional Neural Networks (CNNs) (2022)
Journal Article
Ghani, A., Aina, A., See, C. H., Yu, H., & Keates, S. (2022). Accelerated Diagnosis of Novel Coronavirus (COVID-19)—Computer Vision with Convolutional Neural Networks (CNNs). Electronics, 11(7), Article 1148. https://doi.org/10.3390/electronics11071148

Early detection and diagnosis of COVID-19, as well as exact separation of non-COVID-19 cases in a non-invasive manner in the earliest stages of the disease, are critical concerns in the current COVID-19 pandemic. Convolutional Neural Network (CNN) ba... Read More about Accelerated Diagnosis of Novel Coronavirus (COVID-19)—Computer Vision with Convolutional Neural Networks (CNNs).

Eye-Tracking Assistive Technologies for Individuals with Amyotrophic Lateral Sclerosis (2022)
Journal Article
Edughele, H. O., Zhang, Y., Muhammad-Sukki, F., Vien, Q., Morris-Cafiero, H., & Opoku Agyeman, M. (2022). Eye-Tracking Assistive Technologies for Individuals with Amyotrophic Lateral Sclerosis. IEEE Access, 10, 41938-41958. https://doi.org/10.1109/ACCESS.

Amyotrophic lateral sclerosis, also known as ALS, is a progressive nervous system disorder that affects nerve cells in the brain and spinal cord, resulting in the loss of muscle control. For individuals with ALS, where mobility is limited to the move... Read More about Eye-Tracking Assistive Technologies for Individuals with Amyotrophic Lateral Sclerosis.

Indoor and Outdoor Air Quality in Densely Populated Areas: Case Studies of High-Rise Social Housing in Kuala Lumpur (2022)
Journal Article
Firrdhaus Mohd Sahabuddin, M., Aminuddin, A., Muhammad-Sukki, F., & Shukri, S. M. (2022). Indoor and Outdoor Air Quality in Densely Populated Areas: Case Studies of High-Rise Social Housing in Kuala Lumpur. Pertanika Journal of Science & Technology, 30(2)

Air pollution is one factor that contributes to serious health issues in developing countries. The Malaysian Environmental Department has measured that particulate matter in urban areas is significantly higher than other parts of the country. Thus, t... Read More about Indoor and Outdoor Air Quality in Densely Populated Areas: Case Studies of High-Rise Social Housing in Kuala Lumpur.

SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles (2022)
Presentation / Conference Contribution
Babaghayou, M., Labraoui, N., Ari, A. A. A., Lagraa, N., Ferrag, M. A., & Maglaras, L. (2022). SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles. In CROWNCOM 2021, WiCON 2021: Cognitive

The quick revolution on the wireless communication technologies had opened the gate towards promising implementations; Vehicular-Ad-hoc Networks (VANETs) and the safety-enhancing applications provided by the Internet of Vehicles (IoV) paradigm are on... Read More about SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles.

MienCap: Performance-based Facial Animation with Live Mood Dynamics (2022)
Presentation / Conference Contribution
Pan, Y., Zhang, R., Wang, J., Chen, N., Qiu, Y., Ding, Y., & Mitchell, K. (2022). MienCap: Performance-based Facial Animation with Live Mood Dynamics. In 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (645-64

Our purpose is to improve performance-based animation which can drive believable 3D stylized characters that are truly perceptual. By combining traditional blendshape animation techniques with machine learning models, we present a real time motion ca... Read More about MienCap: Performance-based Facial Animation with Live Mood Dynamics.

An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction (2022)
Journal Article
Rashid, J., Batool, S., Kim, J., Wasif Nisar, M., Hussain, A., Juneja, S., & Kushwaha, R. (2022). An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction. Frontiers in Public Health, 10, Article 860396. https://doi.org/10.3389/fpubh.

Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has therefore become an important research area to enhance patient survival rates. Several research studies have reported classification approaches for specific di... Read More about An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction.

Using a multi-location, longitudinal focus group method to conduct qualitative research into the role of public libraries (2022)
Journal Article
Appleton, L., & Hall, H. (2022). Using a multi-location, longitudinal focus group method to conduct qualitative research into the role of public libraries. Qualitative and Quantitative Methods in Libraries, 11(1), 83-92

A novel multi-location longitudinal focus group method was deployed as part of a doctoral study on the role of UK public libraries. This work was completed part-time at Edinburgh Napier University between 2013 and 2020. Over a period of three years,... Read More about Using a multi-location, longitudinal focus group method to conduct qualitative research into the role of public libraries.

Comparing building performance of supermarkets under future climate change: UK case study (2022)
Journal Article
Hasan, A. U., Bahadori-Jahromi, A., Mylona, A., Ferri, M., & Zhang, H. (2022). Comparing building performance of supermarkets under future climate change: UK case study. Advances in Energy Research, 8(1), 73-93. https://doi.org/10.12989/eri.2022.8.0.000

Focus on climate change and extreme weather conditions has received considerable attention in recent years. Civil engineers are now focusing on designing buildings that are more eco-friendly in the face of climate change. This paper describes the res... Read More about Comparing building performance of supermarkets under future climate change: UK case study.

Review on solar dryers for drying fish, fruits, and vegetables (2022)
Journal Article
Natarajan, S. K., Elangovan, E., Elavarasan, R. M., Balaraman, A., & Sundaram, S. (2022). Review on solar dryers for drying fish, fruits, and vegetables. Environmental Science and Pollution Research, 29, 40478-40506. https://doi.org/10.1007/s11356-022-197

India is one of the highly developing countries in the world and it has the second-largest agricultural source of income, which covers 61% of the entire income of the country. The most valuable income group, by giving the appropriate training in this... Read More about Review on solar dryers for drying fish, fruits, and vegetables.

Toward Machine Intelligence that Learns to Fingerprint Polymorphic Worms in IoT (2022)
Journal Article
Wang, F., Yang, S., Wang, C., Li, Q., Babaagba, K., & Tan, Z. (2022). Toward Machine Intelligence that Learns to Fingerprint Polymorphic Worms in IoT. International Journal of Intelligent Systems, 37(10), 7058-7078. https://doi.org/10.1002/int.22871

Internet of Things (IoT) is fast growing. Non-PC devices under the umbrella of IoT have been increasingly applied in various fields and will soon account for a significant share of total Internet traffic. However, the security and privacy of IoT and... Read More about Toward Machine Intelligence that Learns to Fingerprint Polymorphic Worms in IoT.

Computational Thinking and User Interfaces: A Systematic Review (2022)
Journal Article
Rijo-Garcia, S., Segredo, E., & Leon, C. (2022). Computational Thinking and User Interfaces: A Systematic Review. IEEE Transactions on Education, 65(4), 647-656. https://doi.org/10.1109/te.2022.3159765

Contribution: This document presents a systematic bibliographic review that demonstrates the need to conduct research on how the user experience impacts the development of computational thinking. Background: In the field of computer science, computat... Read More about Computational Thinking and User Interfaces: A Systematic Review.

Design of an Analog RFID-Based UHF Band Tag Antenna with Opened Circuited L-shaped Stubs for the Applications in Localization (2022)
Journal Article
Jouali, R., Aoutoul, M., Ouahmane, . H., Ahmad, S., Had, A., El Moukhtafi, F., Ojaroudi Parchin, N., See, C. H., & Abd-Alhameed, R. (2022). Design of an Analog RFID-Based UHF Band Tag Antenna with Opened Circuited L-shaped Stubs for the Applications in L

This paper presents a new analog design of a radio-frequency identification (RFID) tag antenna with a long-read range oriented to localization applications. The actual work focuses on the analog input characterization of antenna impedance by studying... Read More about Design of an Analog RFID-Based UHF Band Tag Antenna with Opened Circuited L-shaped Stubs for the Applications in Localization.

A Study of Zero Bid Wind Farm for Future Scotland’s Energy Demands—A New Approach (2022)
Journal Article
Stoddart, C., Muhammad-Sukki, F., Anderson, M., Ardila-Rey, J. A., Ayub, A. S., Mohd Sahabuddin, M. F., …Zulkipli, M. (2022). A Study of Zero Bid Wind Farm for Future Scotland’s Energy Demands—A New Approach. Applied Sciences, 12(7), Article 3326. h

Offshore wind is in a rapid transitional phase, pushed worldwide by efforts of those to reduce climate change. Wind power is becoming a commercialised, unsubsidised competitive form of low carbon generation of renewable energy. Marketplaces reflect t... Read More about A Study of Zero Bid Wind Farm for Future Scotland’s Energy Demands—A New Approach.

A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation (2022)
Journal Article
Yao, K., Su, Z., Huang, K., Yang, X., Sun, J., Hussain, A., & Coenen, F. (2022). A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation. IEEE Journal of Biomedical and Health Informatics, 26(10), 4976-4986. https

We consider the problem of volumetric (3D) unsupervised domain adaptation (UDA) in cross-modality medical image segmentation, aiming to perform segmentation on the unannotated target domain (e.g. MRI) with the help of labeled source domain (e.g. CT).... Read More about A novel 3D unsupervised domain adaptation framework for cross-modality medical image segmentation.

A federated learning framework for cyberattack detection in vehicular sensor networks (2022)
Journal Article
Driss, M., Almomani, I., e Huma, Z., & Ahmad, J. (2022). A federated learning framework for cyberattack detection in vehicular sensor networks. Complex and Intelligent Systems, 8(5), 4221-4235. https://doi.org/10.1007/s40747-022-00705-w

Vehicular Sensor Networks (VSN) introduced a new paradigm for modern transportation systems by improving traffic management and comfort. However, the increasing adoption of smart sensing technologies with the Internet of Things (IoT) made VSN a high-... Read More about A federated learning framework for cyberattack detection in vehicular sensor networks.

A Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a Distributed Environment (2022)
Presentation / Conference Contribution
Lu, H., Kamoto, K. M., Liu, Q., Zhang, Y., Liu, X., Xu, X., & Qi, L. (2022). A Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a Distributed Environment. In Cloud Computing: 11th EAI International Conference, CloudComp 2021, Virtua

It is of great significance to study the positive characteristics of concrete bearing cracks, fire and other adverse environment for the safety of human life and property and the protection of environmental resources. However, there are still some ch... Read More about A Lightweight FCNN-Driven Approach to Concrete Composition Extraction in a Distributed Environment.

Effects of Biological and Chemical Degradation on the Properties of Scots Pine Wood—Part I: Chemical Composition and Microstructure of the Cell Wall (2022)
Journal Article
Broda, M., Popescu, C., Curling, S. F., Ilie Timpu, D., & Ormondroyd, G. A. (2022). Effects of Biological and Chemical Degradation on the Properties of Scots Pine Wood—Part I: Chemical Composition and Microstructure of the Cell Wall. Materials, 15(7), A

Research on new conservation treatment for archaeological wood requires large amounts of wooden material. For this purpose, artificial wood degradation (biological—using brown-rot fungus Coniophora puteana, and chemical—using NaOH solution) under lab... Read More about Effects of Biological and Chemical Degradation on the Properties of Scots Pine Wood—Part I: Chemical Composition and Microstructure of the Cell Wall.