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Outputs (13536)

An Adaptive Xception Model for Classification of Brain Tumors (2024)
Journal Article
Thakur, A., Bhatia Khan, S., Palaiahnakote, S., Kumar V, V., Almusharraf, A., & Mashat, A. (in press). An Adaptive Xception Model for Classification of Brain Tumors. International Journal of Pattern Recognition and Artificial Intelligence,

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.

Neural network and thermodynamic optimization of magnetized hybrid nanofluid dissipative radiative convective flow with energy activation (2024)
Journal Article
Ferdows, M., Ahmed, M., Bhuiyan, M. A., Anwar Bég, O., Çolak, A. B., & Leonard, H. (in press). Neural network and thermodynamic optimization of magnetized hybrid nanofluid dissipative radiative convective flow with energy activation. Numerical Heat Transfer, Part A Applications, 1-35. https://doi.org/10.1080/10407782.2024.2329312

This article, motivated by hybrid magnetic coating manufacturing developments, utilizes a neural network-based computational program to study the dynamics of hybrid magnetic nanofluids with entropy generation. A new physico-chemo-mathematical model h... Read More about Neural network and thermodynamic optimization of magnetized hybrid nanofluid dissipative radiative convective flow with energy activation.

Optimizing the Parameters of Relay Selection Model in D2D Network (2024)
Conference Proceeding
Bunu, S. M., Saraee, M., & Alani, O. (2024). Optimizing the Parameters of Relay Selection Model in D2D Network. . https://doi.org/10.1109/ISRITI60336.2023.10467664

The Fifth generation (5G) cellular network's traffic load is certain to expand significantly in the near future as a result of its flexibility, high speed, increased bandwidth, better connectivity and low latency. Consequently, it is necessary to inv... Read More about Optimizing the Parameters of Relay Selection Model in D2D Network.

Identifying and validating MMP family members (MMP2, MMP9, MMP12, and MMP16) as therapeutic targets and biomarkers in kidney renal clear cell carcinoma (KIRC). (2024)
Journal Article
Li, K., Li, D., Hafez, B., Bekhit, M. M. S., Jardan, Y. A. B., Alanazi, F. K., …Jamil, M. (in press). Identifying and validating MMP family members (MMP2, MMP9, MMP12, and MMP16) as therapeutic targets and biomarkers in kidney renal clear cell carcinoma (KIRC). #Journal not on list, 32(4), 737-752. https://doi.org/10.32604/or.2023.042925

Kidney Renal Clear Cell Carcinoma (KIRC) is a malignant tumor that carries a substantial risk of morbidity and mortality. The MMP family assumes a crucial role in tumor invasion and metastasis. This study aimed to uncover the mechanistic relevance of... Read More about Identifying and validating MMP family members (MMP2, MMP9, MMP12, and MMP16) as therapeutic targets and biomarkers in kidney renal clear cell carcinoma (KIRC)..

Finite element stress analysis and topological optimization of a commercial aircraft seat structure (2024)
Journal Article
Amaze, C. D., Kuharat, S., Bég, O. A., Kadir, A., Jouri, W., & Bég, T. A. (in press). Finite element stress analysis and topological optimization of a commercial aircraft seat structure. #Journal not on list,

In recent years, the Finite Element Method (FEM) has emerged as a cornerstone in the field of seating design, particularly within the aircraft industry. Over the past decade, significant advancements in Finite Element (FE) analysis techniques have re... Read More about Finite element stress analysis and topological optimization of a commercial aircraft seat structure.

A Heat Loss Sensitivity Index to Inform Housing Retrofit Policy in the UK (2024)
Journal Article
Tsang, C., Parker, J., & Glew, D. (in press). A Heat Loss Sensitivity Index to Inform Housing Retrofit Policy in the UK. Buildings, 14(3), 834. https://doi.org/10.3390/buildings14030834

A substantial number of dwellings in the UK have poor building fabric, leading to higher carbon emissions, fuel expenses, and the risk of cold homes. To tackle these challenges, domestic energy efficiency policies are being implemented. One effective... Read More about A Heat Loss Sensitivity Index to Inform Housing Retrofit Policy in the UK.

Deep learning models integrating multi-sensor and -temporal remote sensing to monitor landslide traces in Vietnam (2024)
Journal Article
Kinh Bac, D., Tuan Linh, G., Dang, V. B., Phan, T., Truong, H., Ngo, V. L., …Forino, G. (2024). Deep learning models integrating multi-sensor and -temporal remote sensing to monitor landslide traces in Vietnam. International Journal of Disaster Risk Reduction, 105, 104391. https://doi.org/10.1016/j.ijdrr.2024.104391

Landslides pose significant threats to lives and public infrastructure in mountainous regions. Real-time landslide monitoring presents challenges for scientists, often involving substantial costs and risks due to challenging terrain and instability.... Read More about Deep learning models integrating multi-sensor and -temporal remote sensing to monitor landslide traces in Vietnam.

Deep learning-based forecasting of electricity consumption (2024)
Journal Article
Qureshi, M., Arbab, M. A., & Rehman, S. U. (in press). Deep learning-based forecasting of electricity consumption. Scientific Reports, 14(1), 6489. https://doi.org/10.1038/s41598-024-56602-4

Building energy management systems (BEMS) are integrated computerized systems that track and manage the energy use of many pieces of building-related machinery and equipment, including lighting, power systems, and HVAC systems. Modern buildings must... Read More about Deep learning-based forecasting of electricity consumption.