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Multi-criteria decision-making approach to material selection for abandonment of high-pressure high-temperature (HPHT) wells exposed to harsh reservoir fluids. (2025)
Journal Article
CHUKWUEMEKA, A.O., OLUYEMI, G., MOHAMMED, A.I., ATTAR, S. and NJUGUNA, J. 2025. Multi-criteria decision-making approach to material selection for abandonment of high-pressure high-temperature (HPHT) wells exposed to harsh reservoir fluids. Polymers [online], 17(10), article number 1329. Available from: https://doi.org/10.3390/polym17101329

Portland cement is the primary barrier material for well abandonment. However, the limitations of cement, especially under harsh downhole conditions, are necessitating research into alternative barrier materials. While several alternatives have been... Read More about Multi-criteria decision-making approach to material selection for abandonment of high-pressure high-temperature (HPHT) wells exposed to harsh reservoir fluids..

Investigation of thermochemical properties and pyrolysis of barley waste as a source for renewable energy. (2023)
Journal Article
REZA, M.S. TAWEEKUN, J., AFROZE, S., SIDDIQUE, S.A., ISLAM, M.S., WANG, C. and AZAD, A.K. 2023. Investigation of thermochemical properties and pyrolysis of barley waste as a source for renewable energy. Sustainability [online], 15(2), article number 1643. Available from: https://doi.org/10.3390/su15021643

Energy consumption is rising dramatically at the price of depleting fossil fuel supplies and rising greenhouse gas emissions. To resolve this crisis, barley waste, which is hazardous for the environment and landfill, was studied through thermochemica... Read More about Investigation of thermochemical properties and pyrolysis of barley waste as a source for renewable energy..

An exploration into student pharmacists' experiences of practice-based interprofessional education during experiential learning placements. (2025)
Journal Article
DEPASQUALE, C., ARNOLD, A., CUNNINGHAM, S., KERR, A., JACOB, S.A., BOYTER, A., BOYD, M., POWER, A. and ADDISON, B. [2025]. An exploration into student pharmacists' experiences of practice-based interprofessional education during experiential learning placements. American journal of pharmaceutical education [online], Articles in Press. Available from: https://doi.org/10.1016/j.ajpe.2025.101418

This study aimed to explore student pharmacists' experiences of interprofessional education (IPE) during experiential learning (EL) placements. A paper questionnaire was used to collect data; distributed to all penultimate/final year student pharmaci... Read More about An exploration into student pharmacists' experiences of practice-based interprofessional education during experiential learning placements..

Assessing IoT intrusion detection computational costs when using a convolutional neural network. (2025)
Journal Article
NICHO, M., CUSACK, B., MCDERMOTT, C.D. and GIRIJA, S. 2025. Assessing IoT intrusion detection computational costs when using a convolutional neural network. Information security journal [online], Latest Articles. Available from: https://doi.org/10.1080/19393555.2025.2496327

IoT systems face vulnerabilities due to their data processing requirements and resource constraints. With 13 billion connected devices globally, this research investigates the economic viability of AI-based intrusion detection systems (IDSs), specifi... Read More about Assessing IoT intrusion detection computational costs when using a convolutional neural network..

MSLKCNN: a simple and powerful multi-scale large kernel CNN for hyperspectral image classification. (2025)
Journal Article
LIU, X., NG, A.H.-M., LEI, F., REN, J. GUO, L. and DU, Z. [2025]. MSLKCNN: a simple and powerful multi-scale large kernel CNN for hyperspectral image classification. IEEE transactions on geoscience and remote sensing [online], Early Access. Available from: https://doi.org/10.1109/TGRS.2025.3566616

Deep learning-based hyperspectral image (HSI) classification models typically utilize multiple feature extraction layers to learn the features of land covers. Nevertheless, they encounter challenges, e.g., 1) Transformers require substantial computat... Read More about MSLKCNN: a simple and powerful multi-scale large kernel CNN for hyperspectral image classification..