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SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024) (2024)
Presentation / Conference Contribution
MARTIN, K., SALIMI, P. and WIJAYASEKARA, V. (eds.) 2024. SICSA REALLM workshop 2024: proceedings of the 2024 SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024), 17 October 2024, Aberdeen, UK. CEUR workshop proceedings, 3822. Aachen: CEUR-WS [online]. Available from: https://ceur-ws.org/Vol-3822/

In the last few years, Large Language Models (LLMs) underpinned by rapid advancements in Artificial Intelligence (AI) have grabbed the attention of academia, industry and the general public. Demonstrating hence before unseen capability to deal with a... Read More about SICSA REALLM workshop 2024: proceedings of the SICSA (Scottish Informatics and Computer Science Alliance) REALLM (Reasoning, explanation and applications of large language models) workshop (SICSA REALLM workshop 2024).

Utilization of demand side management for stability improvement in renewable energy resources in United Kingdom. (2024)
Presentation / Conference Contribution
SUNDAS, R., ATALOR, D.O., BAIG, N.A. and YAHYA, H. 2024. Utilization of demand side management for stability improvement in renewable energy resources in United Kingdom. In Proceedings of the 2024 Future technologies conference (FTC 2024), 14-15 November 2024, London, UK. Lecture notes in networks and systems, 1154. Cham: Springer [online], 1, pages 558-571. Available from: https://doi.org/10.1007/978-3-031-73110-5_37

This research deals with the Particle Swarm Optimization (PSO) algorithm for a meagre load shifting in demand side management focusing on scheduling the residential, commercial, and industrial load in United Kingdom. Irregular and unscheduled load co... Read More about Utilization of demand side management for stability improvement in renewable energy resources in United Kingdom..

Improved lithium battery state of health estimation and enhanced adaptive capacity of innovative kernel extreme learning machine optimized by multi-strategy dung beetle algorithm. (2024)
Journal Article
MO, D., WANG, S., ZHANG, M., FAN, Y., WU, W., FERNANDEZ, C. and SU, Q. [2024]. Improved lithium battery state of health estimation and enhanced adaptive capacity of innovative kernel extreme learning machine optimized by multi-strategy dung beetle algorithm. Ionics [online], Latest Articles. Available from: https://doi.org/10.1007/s11581-024-05914-6

Accurate estimation of the state of health (SOH) of lithium batteries is crucial to ensure the reliable and safe operation of lithium batteries. Aiming at the problems of low accuracy of extreme learning machine and poor mapping ability of convention... Read More about Improved lithium battery state of health estimation and enhanced adaptive capacity of innovative kernel extreme learning machine optimized by multi-strategy dung beetle algorithm..

Development and implementation of an applied professional development module for final year undergraduate students. (2024)
Presentation / Conference Contribution
BURGESS, K.E. and MAUGHAN, P. 2024. Development and implementation of an applied professional development module for final year undergraduate students. Presented at the 1st Staffordshire Centre of Learning and Pedagogic Practice international pedagogic conference (SCoLPP 2024): it's scholarly but it's real: using phenomenon based learning to future-proof effective learning in higher education, 20-21 November 2024, [online event].

This presentation reflects on a new applied professional development module, which aimed to enhance students' professional self-awareness and reflective practice, and to develop specific areas of their professional skills. The module was found to hel... Read More about Development and implementation of an applied professional development module for final year undergraduate students..

Performance enhancement of a modified solar still with inverted pyramid aluminum basin geometry: experimental optimization, thermal and economic assessment. (2024)
Journal Article
DIAB, M.R., ROZZA, M., ALHOSARY, M., NASSAR, S., FAISAL, N., ELSHEIKH, A.H. and EGIZA, M. [2024]. Performance enhancement of a modified solar still with inverted pyramid aluminum basin geometry: experimental optimization, thermal and economic assessment. Process safety and environmental protection [online], Articles in Press. Available from: https://doi.org/10.1016/j.psep.2024.11.104

Desalination is a promising solution to address the global challenges of water scarcity and energy demand, aided by industrialization and population growth. This study explores the potential to enhance solar still performance by redesigning the basin... Read More about Performance enhancement of a modified solar still with inverted pyramid aluminum basin geometry: experimental optimization, thermal and economic assessment..