Skip to main content

Research Repository

Advanced Search

All Outputs (12895)

Towards sustainability: Examining financial, economic, and societal determinants of environmental degradation (2024)
Journal Article
El Khoury, R., Min Du, A., Nasrallah, N., Marashdeh, H., & Atayah, O. F. (2025). Towards sustainability: Examining financial, economic, and societal determinants of environmental degradation. Research in International Business and Finance, 73(Part A), Article 102557. https://doi.org/10.1016/j.ribaf.2024.102557

We examine the determinants of environmental degradation, focusing on MENA economies from 1991 to 2020, with a particular focus on the role of sectoral composition. Specifically, we assess the contributions of the industrial, manufa... Read More about Towards sustainability: Examining financial, economic, and societal determinants of environmental degradation.

Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities (2024)
Journal Article
Yigit, Y., Ahmadi, H., Yurdakul, G., Canberk, B., Hoang, T., & Duong, T. Q. (2024). Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities. IEEE Communications Standards Magazine, 8(3), 28-34. https://doi.org/10.1109/mcomstd.0002.2300027

Digital twin (DT)-based smart cities are anticipated to achieve seamless integration between physical and digital objects to satisfy an enormous number of users across all domains. Therefore, the infrastructure of 6G smart cities has become an import... Read More about Digi-Infrastructure: Digital Twin-Enabled Traffic Shaping with Low-Latency for 6G Smart Cities.

Federated learning‐driven dual blockchain for data sharing and reputation management in Internet of medical things (2024)
Journal Article
Gan, C., Xiao, X., Zhu, Q., Jain, D. K., Saini, A., & Hussain, A. (online). Federated learning‐driven dual blockchain for data sharing and reputation management in Internet of medical things. Expert Systems, https://doi.org/10.1111/exsy.13714

In the Internet of Medical Things (IoMT), the vulnerability of federated learning (FL) to single points of failure, low-quality nodes, and poisoning attacks necessitates innovative solutions. This article introduces a FL-driven dual-blockchain approa... Read More about Federated learning‐driven dual blockchain for data sharing and reputation management in Internet of medical things.

Throughput Maximization in RIS-Assisted NOMA-THz Communication Network (2024)
Journal Article
Do-Duy, T., Masaracchia, A., Canberk, B., Nguyen, L. D., & Duong, T. Q. (2024). Throughput Maximization in RIS-Assisted NOMA-THz Communication Network. IEEE Open Journal of the Communications Society, 5, 5706-5717. https://doi.org/10.1109/ojcoms.2024.3454255

In order to overcome spectrum scarcity and provide higher data rates, the sixth-generation (6G) wireless communication network is expected to perform data transmission using terahertz (THz) frequencies. However, the effective implementation of these... Read More about Throughput Maximization in RIS-Assisted NOMA-THz Communication Network.

A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience (2024)
Journal Article
Chamola, V., Sai, S., Bhargava, A., Sahu, A., Jiang, W., Xiong, Z., Niyato, D., & Hussain, A. (online). A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience. Cognitive Computation, https://doi.org/10.1007/s12559-024-10342-9

Generative Artificial Intelligence models are Artificial Intelligence models that generate new content based on a prompt or input. The output content can be in various forms, including text, images, and video. Metaverse refers to a virtual world wher... Read More about A Comprehensive Survey on Generative AI for Metaverse: Enabling Immersive Experience.

Active Disturbance Rejection Control of Wrist Tremor Suppression System With Additional High-Order Repetitive Control Component (2024)
Journal Article
Zhang, Z., Huo, B., Liu, Y., Dong, A., & Yu, H. (online). Active Disturbance Rejection Control of Wrist Tremor Suppression System With Additional High-Order Repetitive Control Component. IEEE/ASME Transactions on Mechatronics, https://doi.org/10.1109/tmech.2024.3450599

Intention tremor is an involuntary and rhythmic muscle contraction that occurs during purposeful limb movements. Functional electrical stimulation based repetitive control (RC) has proven to be an effective approach to reject periodic tremor disturba... Read More about Active Disturbance Rejection Control of Wrist Tremor Suppression System With Additional High-Order Repetitive Control Component.

Effects of fishery bycatch-mitigation measures on vulnerable marine fauna and target catch (2024)
Journal Article
Huang, C., Rice, J., Richter, A., Zhou, K., Wang, Y., Wei, C., Pagani-Núñez, E., Maleko, P. N., Zhang, X., Lee, T. M., & Liu, Y. (online). Effects of fishery bycatch-mitigation measures on vulnerable marine fauna and target catch. Nature Sustainability, https://doi.org/10.1038/s41893-024-01422-7

Reducing fisheries bycatches of vulnerable species is critical to marine biodiversity conservation and sustainable fisheries development. Although various preventive technical measures have been implemented, their overall effects are poorly understoo... Read More about Effects of fishery bycatch-mitigation measures on vulnerable marine fauna and target catch.

Reputation Gaming in Crowd Technical Knowledge Sharing (2024)
Journal Article
Mazloomzadeh, I., Uddin, G., Khomh, F., & Sami, A. (online). Reputation Gaming in Crowd Technical Knowledge Sharing. ACM transactions on software engineering and methodology, https://doi.org/10.1145/3691627

Stack Overrow incentive system awards users with reputation scores to ensure quality. The decentralized nature of the forum may make the incentive system prone to manipulation. This paper ooers, for the rst time, a comprehensive study of the reported... Read More about Reputation Gaming in Crowd Technical Knowledge Sharing.

Exploring Reinforced Class Separability and Discriminative Representations for SAR Target Open Set Recognition (2024)
Journal Article
Gao, F., Luo, X., Lang, R., Wang, J., Sun, J., & Hussain, A. (2024). Exploring Reinforced Class Separability and Discriminative Representations for SAR Target Open Set Recognition. Remote Sensing, 16(17), Article 3277. https://doi.org/10.3390/rs16173277

Current synthetic aperture radar (SAR) automatic target recognition (ATR) algorithms primarily operate under the closed-set assumption, implying that all target classes have been previously learned during the training phase. However, in open scenario... Read More about Exploring Reinforced Class Separability and Discriminative Representations for SAR Target Open Set Recognition.

Patient and public perspectives of involvement in cardiovascular research in Scotland, UK. A report of the NHS Research Scotland Heart Engagement And Research Talks (2024)
Journal Article
Mchale, S., Pearsons, A., Hanson, C., Mcauley, M., Simpson, M., Porteous, C., Irvine, V., Houston, R., Henderson, P., & Neubeck, L. (in press). Patient and public perspectives of involvement in cardiovascular research in Scotland, UK. A report of the NHS Research Scotland Heart Engagement And Research Talks. British Journal of Cardiology,

Background: Cardiovascular disease (CVD) is a leading cause of global mortality, necessitating extensive research efforts. In Scotland, the NHS Research Scotland (NRS) Cardiovascular Network plays a pivotal role in coordinating cardiovascular researc... Read More about Patient and public perspectives of involvement in cardiovascular research in Scotland, UK. A report of the NHS Research Scotland Heart Engagement And Research Talks.

Capturing Film Mixers’ Workflows (2024)
Journal Article
Shalabi, A., & McGregor, I. (2024). Capturing Film Mixers’ Workflows. Journal of the Audio Engineering Society, 72(9),

Cinema being a controlled medium can offer stakeholders reassurance and a certain level of predictability in terms of soundtrack reproduction. The television and streaming suite of standards and delivery specifications have been developed in order to... Read More about Capturing Film Mixers’ Workflows.

Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder (2024)
Journal Article
Hasan, M. N., Jan, S. U., & Koo, I. (2024). Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder. Applied Sciences, 14(17), Article 7717. https://doi.org/10.3390/app14177717

The Internet of Things (IoT) is witnessing a surge in sensor-equipped devices. The data generated by these IoT devices serve as a critical foundation for informed decision-making, real-time insights, and innovative solutions across various applicatio... Read More about Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder.

Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains (2024)
Journal Article
Baird, I., Ghaleb, B., Wadhaj, I., Russell, G., & Buchanan, W. J. (2024). Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains. Electronics, 13(17), Article 3467. https://doi.org/10.3390/electronics13173467

In the evolving landscape of the Internet of Things (IoT), ensuring the security and integrity of data transmission remains a paramount challenge. Routing Protocol for Low-Power and Lossy Networks (RPL) is commonly utilized in IoT networks to facili... Read More about Securing IoT: Mitigating Sybil Flood Attacks with Bloom Filters and Hash Chains.

Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning (2024)
Journal Article
Chen, S., Kirton-Wingate, J., Doctor, F., Arshad, U., Dashtipour, K., Gogate, M., Halim, Z., Al-Dubai, A., Arslan, T., & Hussain, A. (online). Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning. IEEE Transactions on Fuzzy Systems, https://doi.org/10.1109/tfuzz.2024.3435050

It is estimated that by 2050 approximately one in ten individuals globally will experience disabling hearing impairment. In the presence of everyday reverberant noise, a substantial proportion of individual users encounter challenges in speech compre... Read More about Context-Aware Audio-Visual Speech Enhancement Based on Neuro-Fuzzy Modelling and User Preference Learning.

Digital solutions to optimize guideline-directed medical therapy prescription rates in patients with heart failure: a clinical consensus statement from the ESC Working Group on e-Cardiology, the Heart Failure Association of the European Society of Cardiology, the Association of Cardiovascular Nursing & Allied Professions of the European Society of Cardiology, the ESC Digital Health Committee, the ESC Council of Cardio-Oncology, and the ESC Patient Forum (2024)
Journal Article
Schuuring, M. J., Treskes, R. W., Castiello, T., Jensen, M. T., Casado-Arroyo, R., Neubeck, L., Lyon, A. R., Keser, N., Rucinski, M., Marketou, M., Lambrinou, E., Volterrani, M., & Hill, L. (online). Digital solutions to optimize guideline-directed medical therapy prescription rates in patients with heart failure: a clinical consensus statement from the ESC Working Group on e-Cardiology, the Heart Failure Association of the European Society of Cardiology, the Association of Cardiovascular Nursing & Allied Professions of the European Society of Cardiology, the ESC Digital Health Committee, the ESC Council of Cardio-Oncology, and the ESC Patient Forum. European Heart Journal – Digital Health, Article ztae064. https://doi.org/10.1093/ehjdh/ztae064

The 2021 European Society of Cardiology guideline on diagnosis and treatment of acute and chronic heart failure (HF) and the 2023 Focused Update include recommendations on the pharmacotherapy for patients with New York Heart Association (NYHA) class... Read More about Digital solutions to optimize guideline-directed medical therapy prescription rates in patients with heart failure: a clinical consensus statement from the ESC Working Group on e-Cardiology, the Heart Failure Association of the European Society of Cardiology, the Association of Cardiovascular Nursing & Allied Professions of the European Society of Cardiology, the ESC Digital Health Committee, the ESC Council of Cardio-Oncology, and the ESC Patient Forum.

The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane (2024)
Journal Article
Elnabawy, E., Sun, D., Shearer, N., & Shyha, I. (2024). The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane. Polymer, 311, Article 127553. https://doi.org/10.1016/j.polymer.2024.127553

Electro-blow spinning represents a novel and emerging hybridised technology for producing high-quality, large-scale nanofibers. The applied pressure, accompanied by an electric field, functions as a drafting force to generate ultrafine, homogeneous n... Read More about The effect of electro blow spinning parameters on the characteristics of polylactic acid nanofibers: Towards green development of high-performance biodegradable membrane.

Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites (2024)
Journal Article
Janjua, A. A., Younas, M., Ilyas, R. A., Shyha, I., Faisal, N. H., Inam, F., & Saharudin, M. S. (2024). Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites. Journal of Composites Science, 8(9), Article 340. https://doi.org/10.3390/jcs8090340

Dimethylformamide (DMF), a polar solvent, is commonly used for preparing graphene/epoxy nanocomposites. While previous research has commonly predominantly highlighted the improvement in physio-mechanical properties of these nanocomposites, the effect... Read More about Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites.

Forecasting throughput at a transshipment hub under trade dynamism and uncertainty in major production centers (2024)
Journal Article
Mudunkotuwa, R., Ji, M., Peiris, T. S. G., Bandara, Y. M., & Netirith, N. (online). Forecasting throughput at a transshipment hub under trade dynamism and uncertainty in major production centers. Maritime Economics and Logistics, https://doi.org/10.1057/s41278-024-00301-4

The demand for port services is intricately tied to international trade between production centers and the global market. This paper introduces a unique econometric forecasting model tailored to predict container port throughput at a transshipment hu... Read More about Forecasting throughput at a transshipment hub under trade dynamism and uncertainty in major production centers.

People with long-term conditions are more adherent to protective behaviours against infectious disease (2024)
Journal Article
Hubbard, G., Dixon, D., Johnston, M., & den Daas, C. (2024). People with long-term conditions are more adherent to protective behaviours against infectious disease. Public Health in Practice, 8, Article 100538. https://doi.org/10.1016/j.puhip.2024.100538

Objectives
To investigate the relationship between long-term condition (LTC) status and adherence to protective behaviours against infectious disease (face covering, physical distancing, hand hygiene).
Study design
Representative cross-sectional o... Read More about People with long-term conditions are more adherent to protective behaviours against infectious disease.