Outputs (14975)

6GTelMED: Resources Recommendation Framework on 6G Enabled Distributed Telemedicine Using Edge-AI (2024)
Journal Article
Ahmed, S. T., Patil, K. K., S, S. K., Shanraj, R. K., Khan, S. B., Alzahrani, S., & Rani, S. (2024). 6GTelMED: Resources Recommendation Framework on 6G Enabled Distributed Telemedicine Using Edge-AI. IEEE Transactions on Consumer Electronics, 70(3), 5524 - 5532. https://doi.org/10.1109/tce.2024.3473291

Telemedicine infrastructure is enhanced in recent times and applications developed have adopted base-line networking standards according to 4G/5G and LTE. The major challenge in exiting infrastructural setups is higher-latency and exposed privacy of... Read More about 6GTelMED: Resources Recommendation Framework on 6G Enabled Distributed Telemedicine Using Edge-AI.

Heat transfer with electroosmotic flow from a stretching sheet: Factorial plot analysis using a response surface methodology (RSM) approach (2024)
Journal Article

Motivated by novel developments in electro-osmotic coatings, a theoretical and numerical investigation is conducted to evaluate the effects of zeta potential on the electroosmotic flow of a viscous ionic fluid along a stretching surface. The governin... Read More about Heat transfer with electroosmotic flow from a stretching sheet: Factorial plot analysis using a response surface methodology (RSM) approach.

A Two-branch Edge Guided Lightweight Network for infrared image saliency detection (2024)
Journal Article
Liu, Z., Li, X., Zhang, T., Zhang, X., Sun, C., Rehman, S. U., & Ahmad, J. (2024). A Two-branch Edge Guided Lightweight Network for infrared image saliency detection. Computers and Electrical Engineering, 118, 109296. https://doi.org/10.1016/j.compeleceng.2024.109296

In the dynamic landscape of saliency detection, convolutional neural networks have emerged as catalysts for innovation, but remain largely tailored for RGB imagery, falling short in the context of infrared images, particularly in memory-restricted en... Read More about A Two-branch Edge Guided Lightweight Network for infrared image saliency detection.

Highly sensitive protection scheme considering the PV operation control models (2024)
Journal Article
Alasali, F., Albayadrah, H., El-Naily, N., Loukil, H., Holderbaum, W., Flah, A., & Saidi, A. S. (in press). Highly sensitive protection scheme considering the PV operation control models. Electric Power Systems Research, 237, Article 111025. https://doi.org/10.1016/j.epsr.2024.111025

The integration of distributed generation (DG) based on inverters into power systems has increased significantly, necessitating a thorough understanding of its impact on fault analysis and the performance of distribution networks' protection mechanis... Read More about Highly sensitive protection scheme considering the PV operation control models.

Computational hemodynamics of Sisko-blood doped with gold and silver nanoparticles in a stenosed artery with porous walls (2024)
Journal Article

Motivated by the increasing popularity in the deployment of biocompatible nanoparticles in treatments for atherosclerosis, a mathematical model is constructed to replicate the influence of silver and gold nanoparticles on blood flow through porous-wa... Read More about Computational hemodynamics of Sisko-blood doped with gold and silver nanoparticles in a stenosed artery with porous walls.

TinyDeepUAV: A Tiny Deep Reinforcement Learning Framework for UAV Task Offloading in Edge-Based Consumer Electronics (2024)
Journal Article
Bebortta, S., Tripathy, S. S., Khan, S. B., Dabel, M. M. A., Almusharraf, A., & Bashir, A. K. (2024). TinyDeepUAV: A Tiny Deep Reinforcement Learning Framework for UAV Task Offloading in Edge-Based Consumer Electronics. IEEE Transactions on Consumer Electronics, 70(4), https://doi.org/10.1109/tce.2024.3445290

Recently, there has been a rise in the use of Unmanned Areal Vehicles (UAVs) in consumer electronics, particularly for the critical situations. Internet of Things (IoT) technology and the accessibility of inexpensive edge computing devices present no... Read More about TinyDeepUAV: A Tiny Deep Reinforcement Learning Framework for UAV Task Offloading in Edge-Based Consumer Electronics.

Innovative protection schemes through hardware-in-the-loop dynamic testing. (2024)
Journal Article
Alasali, F., El-Naily, N., Y. Mustafa, H., Loukil, H., M. Saad, S., Salah Saidi, A., & Holderbaum, W. (2024). Innovative protection schemes through hardware-in-the-loop dynamic testing. Computers and Electrical Engineering, 119(Part B), Article 109559. https://doi.org/10.1016/j.compeleceng.2024.109559

In microgrid environments, the behaviour of Distributed Generation (DG) during fault conditions
varies significantly based on DG types and penetration levels. Conventional Overcurrent Relays
(OCRs) with standard time-current characteristics may exh... Read More about Innovative protection schemes through hardware-in-the-loop dynamic testing..

Contactless Human Physical Signal Measurement for Collaborative Robotic Using Visible-IR Dual Cameras (2024)
Presentation / Conference Contribution

Collaborative robotic configurations for monitoring and tracking human beings for safety and efficiency have attracted interest in industrial revolution. The fusion of different types of sensors embedded in collaborative robotic systems significantly... Read More about Contactless Human Physical Signal Measurement for Collaborative Robotic Using Visible-IR Dual Cameras.

Generative Artificial Intelligence (AI) on Sustainable Development Goal 4 for Tertiary Education: Conversational AI With User-Centric ChatGPT-4 (2024)
Book Chapter

Emerging themes of Society 5.0 are the coexistence of humans and robots in a collaborative work environments, particularly in education. With digital transformation and newfound collaborations between people and technology, Society 5.0 seeks to creat... Read More about Generative Artificial Intelligence (AI) on Sustainable Development Goal 4 for Tertiary Education: Conversational AI With User-Centric ChatGPT-4.

Deciphering geochemical fingerprints and health implications of groundwater fluoride contamination in mica mining regions using machine learning tactics (2024)
Journal Article
Nandi, R., Mondal, S., Mandal, J., & Bhattacharyya, P. (2024). Deciphering geochemical fingerprints and health implications of groundwater fluoride contamination in mica mining regions using machine learning tactics. Environmental Geochemistry and Health, 46, Article 400. https://doi.org/10.1007/s10653-024-02177-y

The contribution of mica mining activities to fluoride (F-) contamination in groundwater has been chased in this study. For the purpose, groundwater samples (n=40, replicated thrice) were collected during the post-monsoons (September-October) from a... Read More about Deciphering geochemical fingerprints and health implications of groundwater fluoride contamination in mica mining regions using machine learning tactics.