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Journal clubs as an effective pedagogical tool to enhance academic literacy (2024)
Presentation / Conference
Jones, M., & Morgan, N. (2024, June). Journal clubs as an effective pedagogical tool to enhance academic literacy. Presented at Horizons in STEM Education 2024, University of Bristol, Bristol, United Kingdom

Introduction Journal clubs are routinely used within academic research institutes and allied health professions to boost critical thinking, data analysis and disseminate knowledge of novel research concepts. These group-based discussions regarding s... Read More about Journal clubs as an effective pedagogical tool to enhance academic literacy.

Nicosia Airport, Dwindle memories awakened, Past, Present, Future (2024)
Presentation / Conference
Yioutani-Iacovides, M. (2024, June). Nicosia Airport, Dwindle memories awakened, Past, Present, Future. Paper presented at 6th Conference Changing the Cities Rhodes, Greece, Rhodes, Greece

Memories are gradually disappearing, and time took its toll on Nicosia Airport, a unique example of Modernist Aviation Architecture. As it is left abandoned for nearly half a century due to political circumstances, the building is quietly fading awa... Read More about Nicosia Airport, Dwindle memories awakened, Past, Present, Future.

An Adaptive Xception Model for Classification of Brain Tumors (2024)
Journal Article
Thakur, A., Mahesh, T. R., Khan, S. B., Palaiahnakote, S., Kumar V, V., Vinoth Kumar, V., …Mashat, A. (in press). An Adaptive Xception Model for Classification of Brain Tumors. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424560056

Classification of different brain tumors is challenging due to unpredictable variations in intra-inter-classes. Unlike existing methods which are not effective for images of complex backgrounds, the proposed work aims at accurate classification of di... Read More about An Adaptive Xception Model for Classification of Brain Tumors.

Advancements in intrusion detection: A lightweight hybrid RNN-RF model (2024)
Journal Article
Khan, N., Mohmand, M. I., Rehman, S. U., Ullah, Z., Khan, Z., & Boulila, W. (in press). Advancements in intrusion detection: A lightweight hybrid RNN-RF model. PloS one, 19(6), e0299666. https://doi.org/10.1371/journal.pone.0299666

Computer networks face vulnerability to numerous attacks, which pose significant threats to our data security and the freedom of communication. This paper introduces a novel intrusion detection technique that diverges from traditional methods by leve... Read More about Advancements in intrusion detection: A lightweight hybrid RNN-RF model.

A multi-weapon detection using ensembled learning (2024)
Journal Article
Abdullah, M., Al-Noori, A. H. Y., Suad, J., & Tariq, E. (in press). A multi-weapon detection using ensembled learning. Journal of Intelligent Systems, 33(1), 20230060. https://doi.org/10.1515/jisys-2023-0060

Recently, the level of criminals and terrorists using light weapons (such as knives and firearms) has increased rapidly around the world. Unfortunately, most current surveillance systems are still based mainly on human monitoring and intervention. Fo... Read More about A multi-weapon detection using ensembled learning.

Investigation on the structure and performance of supported Ni nanoparticles for the hydrogenation of furfural (2024)
Journal Article
Chen, X., Alijani, S., Gallarati, S., Tessore, F., Jaen, J. J. D., Gianolio, D., …Arrigo, R. (in press). Investigation on the structure and performance of supported Ni nanoparticles for the hydrogenation of furfural. ChemCatChem, https://doi.org/10.1002/cctc.202400229

In this study, nickel nanoparticles were successfully synthesized using two methods: the hot‐injection method and a room temperature colloidal synthesis using dioctyl tartrate as a capping agent. Each approach yielded Ni nanoparticles with unique mor... Read More about Investigation on the structure and performance of supported Ni nanoparticles for the hydrogenation of furfural.

Tracing climate and human-driven erosional activity in the Transylvania lowlands (Central-Eastern Europe) during the Holocene (2024)
Journal Article
Hutchinson, S. M., Haliuc, A., & Feurdean, A. (2024). Tracing climate and human-driven erosional activity in the Transylvania lowlands (Central-Eastern Europe) during the Holocene. Holocene, https://doi.org/10.1177/09596836241254477

Erosion is a complex geomorphological process controlled by climate, soil and vegetation characteristics in addition to land-use. However, the interplay of these drivers is not fully understood. Here we present a 11.8 ka multi-proxy record of geochem... Read More about Tracing climate and human-driven erosional activity in the Transylvania lowlands (Central-Eastern Europe) during the Holocene.

Pioneering Net Zero Homes: A Study of Bellway “The Future Home” Simulation Calibration (2024)
Conference Proceeding
Tsang, C., Fitton, R., Hernandez, H. D., Henshaw, G., & Sitmalidis, A. (2024). Pioneering Net Zero Homes: A Study of Bellway “The Future Home” Simulation Calibration.

This paper demonstrates how Bellway's "The Future Home (TFH)" project contributes to the decarbonisation of UK housing stock, providing valuable insight into building net zero homes. A dynamic simulation model was initially created using design U-val... Read More about Pioneering Net Zero Homes: A Study of Bellway “The Future Home” Simulation Calibration.

Exploring the efficacy of sawdust ash as a mineral filler substitute for the production of asphalt mixtures (2024)
Journal Article
Sukhija, M., Al-ani, A. F., Mohammad, H. K., Albayati, A., & Wang, Y. (2024). Exploring the efficacy of sawdust ash as a mineral filler substitute for the production of asphalt mixtures. Materials and Structures, 57(5), https://doi.org/10.1617/s11527-024-02402-1

Many waste materials can be repurposed effectively within asphalt concrete to enhance the performance and sustainability of pavement. One of these waste materials is sawdust ash (SDA). This study explores the beneficial use of SDA as a substitute for... Read More about Exploring the efficacy of sawdust ash as a mineral filler substitute for the production of asphalt mixtures.

Intelligent Recognition of Multimodal Human Activities for Personal Healthcare (2024)
Journal Article
Sannasi Chakravarthy, S. R., Bharanidharan, N., Vinoth Kumar, V., Mahesh, T. R., Khan, S. B., Almusharraf, A., & Albalawi, E. (2024). Intelligent Recognition of Multimodal Human Activities for Personal Healthcare. IEEE Access, 1-1. https://doi.org/10.1109/access.2024.3405471

Nowadays, the advancements of wearable consumer devices have become a predominant role in healthcare gadgets. There is always a demand to obtain robust recognition of heterogeneous human activities in complicated IoT environments. The knowledge att... Read More about Intelligent Recognition of Multimodal Human Activities for Personal Healthcare.

Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach (2024)
Journal Article
Albalawi, E., Thakur, A., Dorai, D. R., Khan, S. B., Mahesh, T. R., Almusharraf, A., …Anwar, M. S. (in press). Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach. Frontiers in Computational Neuroscience, 18, 1418546. https://doi.org/10.3389/fncom.2024.1418546

Background: The necessity of prompt and accurate brain tumor diagnosis is unquestionable for optimizing treatment strategies and patient prognoses. Traditional reliance on Magnetic Resonance Imaging (MRI) analysis, contingent upon expert interpretati... Read More about Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach.

Practitioners’ perspectives on health and safety risk management in the Ghanaian oil and gas industry (2024)
Journal Article
An, M., Gyambrah, R., & Stemn, E. (2024). Practitioners’ perspectives on health and safety risk management in the Ghanaian oil and gas industry. Safety Science, 177 (2024)(177), 1-11. https://doi.org/10.1016/j.ssci.2024.106579

Risk management has been regarded as one way to improve workplace health and safety conditions. However, very little research has been published on the perspectives of practitioners on safety risk management in general and the Ghanaian oil and gas in... Read More about Practitioners’ perspectives on health and safety risk management in the Ghanaian oil and gas industry.

Effect of Tether Length on endo / exo Stereoselectivity in Alkene–Arene meta ‐Photocycloaddition Reactions towards the Aphidocolin/Stemodin Scaffolds (2024)
Journal Article
Alshammari, A. A. A., Boyd, J. W., Greaves, N., Kettle, J. G., McKendrick, J. E., Parker, L. G., …Smith, C. D. (in press). Effect of Tether Length on endo / exo Stereoselectivity in Alkene–Arene meta ‐Photocycloaddition Reactions towards the Aphidocolin/Stemodin Scaffolds. European Journal of Organic Chemistry, e202400463. https://doi.org/10.1002/ejoc.202400463

Intramolecular alkene‐arene meta‐photocycloadditions are powerful transformations that use the enhanced reactivity of photoexcited benzene rings to facilitate addition of an alkene 1,3 across donor groups and form complex three‐dimensional fused‐ring... Read More about Effect of Tether Length on endo / exo Stereoselectivity in Alkene–Arene meta ‐Photocycloaddition Reactions towards the Aphidocolin/Stemodin Scaffolds.

Galerkin fem simulation of natural convection in an annular porous medium-based solar collector system (2024)
Journal Article
Venkatadri, K., Anwar Bég, O., Bég, T. A., & Kuharat, S. (2024). Galerkin fem simulation of natural convection in an annular porous medium-based solar collector system. International Journal of Ambient Energy, 45(1), https://doi.org/10.1080/01430750.2024.2358078

Motivated by simulating emerging hybrid designs in annular solar direct absorber collectors, a theoretical and numerical study of natural convection in an annular hybrid porous medium solar collector is presented. An aspect ratio of 2 is considered w... Read More about Galerkin fem simulation of natural convection in an annular porous medium-based solar collector system.

Hyperspectral Leaf Area Index and Chlorophyll Retrieval over Forest and Row-Structured Vineyard Canopies (2024)
Journal Article
Brown, L. A., Morris, H., MacLachlan, A., D’Adamo, F., Adams, J., Lopez-Baeza, E., …Dash, J. (2024). Hyperspectral Leaf Area Index and Chlorophyll Retrieval over Forest and Row-Structured Vineyard Canopies. Remote Sensing, 16(12), 2066. https://doi.org/10.3390/rs16122066

As an unprecedented stream of decametric hyperspectral observations becomes available from recent and upcoming spaceborne missions, effective algorithms are required to retrieve vegetation biophysical and biochemical variables such as leaf area index... Read More about Hyperspectral Leaf Area Index and Chlorophyll Retrieval over Forest and Row-Structured Vineyard Canopies.

Few-Shot Learning for Medical Image Segmentation Using 3D U-Net and Model-Agnostic Meta-Learning (MAML) (2024)
Journal Article
Alsaleh, A. M., Albalawi, E., Algosaibi, A., Albakheet, S. S., & Khan, S. B. (in press). Few-Shot Learning for Medical Image Segmentation Using 3D U-Net and Model-Agnostic Meta-Learning (MAML). Diagnostics, 14(12), 1213. https://doi.org/10.3390/diagnostics14121213

Deep learning has attained state-of-the-art results in general image segmentation problems; however, it requires a substantial number of annotated images to achieve the desired outcomes. In the medical field, the availability of annotated images is o... Read More about Few-Shot Learning for Medical Image Segmentation Using 3D U-Net and Model-Agnostic Meta-Learning (MAML).

Integrating gene selection and deep learning for enhanced Autisms' disease prediction: a comparative study using microarray data (2024)
Journal Article
Abdelwahab, M. M., Al-Karawi, K. A., & Semary, H. E. (2024). Integrating gene selection and deep learning for enhanced Autisms' disease prediction: a comparative study using microarray data. AIMS journal, 9(7), 17827-17846. https://doi.org/10.3934/math.2024867

<abstract> <p>In this article, Autism Spectrum Disorder (ASD) is discussed, with an emphasis placed on the multidimensional nature of the disorder, which is anchored in genetic and neurological components. Identifying genes related to ASD... Read More about Integrating gene selection and deep learning for enhanced Autisms' disease prediction: a comparative study using microarray data.

Entropy Generation in a Chemically Reactive MHD Unsteady Micropolar Nanofluid Flow with Activation Energy over an Inclined Stretching Sheet: A Buongiorno Model Approach (2024)
Journal Article
Aarathi, T., Reddy, A. S., Jagadeshkumar, K., Ramachandra Prasad, V., & Beg, O. (in press). Entropy Generation in a Chemically Reactive MHD Unsteady Micropolar Nanofluid Flow with Activation Energy over an Inclined Stretching Sheet: A Buongiorno Model Approach. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering,

The goal of this research is to inspect the heat and mass transfer trends and entropy generation in a time-reliant stagnation point stream of a micropolar fluid across an inclined stretched surface. For this objective, a chemically reactive, electric... Read More about Entropy Generation in a Chemically Reactive MHD Unsteady Micropolar Nanofluid Flow with Activation Energy over an Inclined Stretching Sheet: A Buongiorno Model Approach.

Triaxial test of hydrated lime on the mechanical properties of hot mix asphalt concrete (2024)
Conference Proceeding
Al Ashaibi, A., Wang, Y., Albayati, A., Weekes, L., & Haynes, J. (2024). Triaxial test of hydrated lime on the mechanical properties of hot mix asphalt concrete.

This paper reports on the experimental study, which conducted a series of triaxial tests for the asphalt concrete using hydrated lime as a mineral additive. Three HMA mixes, prepared by the specification for wearing, levelling and base layers, were s... Read More about Triaxial test of hydrated lime on the mechanical properties of hot mix asphalt concrete.

A New Approach for Classification of Spices to Make Special Herbal Tea Using Caralluma Fimbriata (2024)
Journal Article
Kumar, P. P., Palaiahnakote, S., & Patil, R. (2024). A New Approach for Classification of Spices to Make Special Herbal Tea Using Caralluma Fimbriata. International Journal of Pattern Recognition and Artificial Intelligence, https://doi.org/10.1142/s0218001424570039

Classification of multiple types of spice images is automatically challenging due to conflict between the texture patterns of spice images. This work aims to develop an automatic system for classifying different types of spice images so that the syst... Read More about A New Approach for Classification of Spices to Make Special Herbal Tea Using Caralluma Fimbriata.