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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..

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..

LKVHAN: multi-scale large kernel vertical-horizontal attention network for hyperspectral image classification. (2025)
Journal Article
LIU, X., NG, A.H.-M., LIAO, X., LEI, F., REN, J. and GE, L. [2025]. LKVHAN: multi-scale large kernel vertical-horizontal attention network for hyperspectral image classification. IEEE journal of selected topics in applied earth observations and remote sensing [online], Early Access. Available from: https://doi.org/10.1109/JSTARS.2025.3567742

Among deep learning-based hyperspectral image (HSI) classification models, convolutional neural networks (CNNs), Transformers, Mamba, and large kernel CNNs (LKCNNs) models have been widely explored for HSI classification. Nonetheless, these models su... Read More about LKVHAN: multi-scale large kernel vertical-horizontal attention network for hyperspectral image classification..

Social work practice following the COVID-19 pandemic: reflections from Brazil, India and Scotland. (2025)
Journal Article
GARCIA, M.L.T., SPOLANDER, G., LEAL, F., ADAIKALAM, F. and GIBSON, N. [2025]. Social work practice following the COVID-19 pandemic: reflections from Brazil, India and Scotland. International social work [online], Online First. Available from: https://doi.org/10.1177/00208728241313034

COVID-19 impacted globally, on individual health, care systems and social reproduction. Excessive death, lockdowns and social policy change had immediate and long-term national and global implications. Attention has been given to the immediate conseq... Read More about Social work practice following the COVID-19 pandemic: reflections from Brazil, India and Scotland..