Welcome to OpenAIR@RGU

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..

Drilling fluids filtration and impact on formation damage. [Supplementary data] (2004)
Data
AMISH, M.B. 2004. Drilling fluids filtration and impact on formation damage. [Supplementary data]. Hosted on OpenAIR [online]. Available from: https://rgu-repository.worktribe.com/output/2830062

Three major methods that the production engineer uses to quantify formation damage in terms of well performance based on the total skin factor after drilling operations are: production logging, flow measurement and well test data. The total skin fact... Read More about Drilling fluids filtration and impact on formation damage. [Supplementary data].

Optimizing hole transport materials and electrodes for enhanced performance in RbGeBr3-based on perovskite solar cells utilizing fullerene as an electron transport material. (2025)
Journal Article
VALIZADEH, S., SHOKRI, A., LAWAL, S.M. and FOUGH, N. 2025. Optimizing hole transport materials and electrodes for enhanced performance in RbGeBr3-based on perovskite solar cells utilizing fullerene as an electron transport material. Results in physics [online], 73, article number 108280. Available from: https://doi.org/10.1016/j.rinp.2025.108280

In this work, the behavior of the electron transport material C60 and various organic and inorganic hole transfer materials, along with an inorganic perovskite material RbGeBr3, has studied in different perovskite solar cells. The finite element meth... Read More about Optimizing hole transport materials and electrodes for enhanced performance in RbGeBr3-based on perovskite solar cells utilizing fullerene as an electron transport material..