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A multimodel-based screening framework for C-19 using deep learning-inspired data fusion. (2024)
Journal Article
SHANKAR, A., RIZWAN, P., MEKALA, M.S., ELYAN, E., GANDOMI, A.H., MAPLE, C. and RODRIGUES, J.J.P.C. 2024. A multimodel-based screening framework for C-19 using deep learning-inspired data fusion. IEEE journal of biomedical and health informatics [online], Early Access. Available from: https://doi.org/10.1109/JBHI.2024.3400878

In recent times, there has been a notable rise in the utilization of Internet of Medical Things (IoMT) frameworks particularly those based on edge computing, to enhance remote monitoring in healthcare applications. Most existing models in this field... Read More about A multimodel-based screening framework for C-19 using deep learning-inspired data fusion..

Towards digitalized and automated substations: implementation of adaptive protection control unit and monitoring system for modern distribution networks under increased hosting capacity of distributed renewable sources. (2024)
Conference Proceeding
ATTEYA, A.I., EL-ZONKOLY, A., ASHOUR, H.A. and ALI, D. 2024. Towards digitalized and automated substations: implementation of adaptive protection control unit and monitoring system for modern distribution networks under increased hosting capacity of distributed renewable sources. In Proceedings of the 2024 International conference on electricity distribution workshop (CIRED 2024 Vienna workshop), 19-20 June 2024, Vienna, Austria. Stevenage: IET [online], (forthcoming).

Maximizing the hosting capacity of modern distribution networks to accommodate more distributed renewable sources is key driver to realise energy system security and Net-Zero carbon goals. Protection systems under increased share of renewable sources... Read More about Towards digitalized and automated substations: implementation of adaptive protection control unit and monitoring system for modern distribution networks under increased hosting capacity of distributed renewable sources..

Distal-extremity cryotherapy in preventing chemotherapy-induced peripheral neuropathy from paclitaxel administration in people affected by breast cancer: a systematic review. (2024)
Journal Article
FORD, K., DUDDLE, M., TURNER, M. and PATERSON, C. 2024. Distal-extremity cryotherapy in preventing chemotherapy-induced peripheral neuropathy from paclitaxel administration in people affected by breast cancer: a systematic review. Seminars in oncology nursing [online], In Press, article number 151673. Available from: https://doi.org/10.1016/j.soncn.2024.151673

To explore the experiences of utilising distal-extremity cryotherapy in reducing chemotherapy-induced peripheral neuropathy during Paclitaxel treatment on physical functioning, clinical and patient-reported outcomes, compared to standard care in peop... Read More about Distal-extremity cryotherapy in preventing chemotherapy-induced peripheral neuropathy from paclitaxel administration in people affected by breast cancer: a systematic review..

A comparative analysis of blockchain and competition law in the European Union and the United States: decentralization, data accumulation and collusion. (2024)
Journal Article
MAK, C.H.W. 2024. A comparative analysis of blockchain and competition law in the European Union and the United States: decentralization, data accumulation and collusion. European competition law review [online], 45(7), pages 323-329. Available from: https://uk.westlaw.com/

This article compares how competition authorities in the EU and US approach the challenges of blockchain technology, including its potential to foster collusion and cartels. The author suggests regulatory reforms such as a multi-stakeholder approach,... Read More about A comparative analysis of blockchain and competition law in the European Union and the United States: decentralization, data accumulation and collusion..

Recession fears and stock markets: an application of directional wavelet coherence and a machine learning-based economic agent-determined Google fear index. (2024)
Journal Article
SZCZYGIELSKI, J.J., CHARTERIS, A., OBOJSKA, L. and BRZESZCZYŃSKI, J. 2024. Recession fears and stock markets: an application of directional wavelet coherence and a machine learning-based economic agent-determined Google fear index. Research in international business and finance [online], In Press, article number 102448. Available from: https://doi.org/10.1016/j.ribaf.2024.102448

Recession fears play a pivotal role in investment decision-making and policy development aimed at reducing the likelihood of a recession and managing its impact. Using machine learning, we develop an economic agent-determined daily recession fear ind... Read More about Recession fears and stock markets: an application of directional wavelet coherence and a machine learning-based economic agent-determined Google fear index..