Outputs (206)

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.

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.

Large-bodied gastric spirurids (Nematoda, Spirurida) predict structure in the downstream gastrointestinal helminth community of wild spiny mice (Acomys dimidiatus) (2024)
Journal Article
Behnke, J., Jackson, J., Gilbert, F., Mohallal, E., & Bajer, A. (in press). Large-bodied gastric spirurids (Nematoda, Spirurida) predict structure in the downstream gastrointestinal helminth community of wild spiny mice (Acomys dimidiatus). Parasitology,

The dominant helminths infecting spiny mice (Acomys dimidiatus) in the montane wadis of the Sinai Peninsula of Egypt are spirurid nematodes, notably Protospirura muricola and Mastophorus muris. Both are relatively large robust stomach worms that accu... Read More about Large-bodied gastric spirurids (Nematoda, Spirurida) predict structure in the downstream gastrointestinal helminth community of wild spiny mice (Acomys dimidiatus).

Salford Twist Mill: Uncovering an Iconic Textile Factory (2024)
Journal Article
Miller, I. (2024). Salford Twist Mill: Uncovering an Iconic Textile Factory. Industrial Archaeology Review, 46(1), https://doi.org/10.1080/03090728.2024.2357425

The Salford Twist Mill of 1799-1801 has attracted much attention as a pioneering example of an iron-framed building, the first textile mill in England to have benefitted from steam heating and one of the earliest buildings in the world to have been p... Read More about Salford Twist Mill: Uncovering an Iconic Textile Factory.

Mathematical modelling of Oxygen diffusion from capillary to tissues during hypoxia through multiple points using fractional balance equations with memory (2024)
Journal Article
Srivastava, V., Tripathi, D., Srivastava, P. K., Kuharat, S., & Anwar Bég, O. (2024). Mathematical modelling of Oxygen diffusion from capillary to tissues during hypoxia through multiple points using fractional balance equations with memory. Critical Reviews in Biomedical Engineering, https://doi.org/10.1615/CritRevBiomedEng.2024053461

The diffusion of oxygen through capillary to surrounding tissues through multiple points along the length has been addressed in many clinical studies, largely motivated by disorders including hypoxia. However relatively few analytical or numerical st... Read More about Mathematical modelling of Oxygen diffusion from capillary to tissues during hypoxia through multiple points using fractional balance equations with memory.

The engagement of the UK construction industry towards achievement of the Sustainable Development Goals (2024)
Journal Article
Watts, G. (2024). The engagement of the UK construction industry towards achievement of the Sustainable Development Goals. Built Environment Project and Asset Management, https://doi.org/10.1108/bepam-12-2022-0198

Purpose (limit 100 words) The Sustainable Development Goals (SDGs) provide a blueprint for UN member states to achieve prosperity and peace. A resilient construction industry should positively contribute to the achievement of all SDGs. Yet it is curr... Read More about The engagement of the UK construction industry towards achievement of the Sustainable Development Goals.