S. Prabha Kumaresan
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View article: Fabrication and characterization of MA₃Bi₂I₉ Bismuth-based perovskite material for potential solar cell applications
Fabrication and characterization of MA₃Bi₂I₉ Bismuth-based perovskite material for potential solar cell applications Open
View article: A Structured and Methodological Review on Multi-View Human Activity Recognition for Ambient Assisted Living
A Structured and Methodological Review on Multi-View Human Activity Recognition for Ambient Assisted Living Open
Ambient Assisted Living (AAL) leverages technology to support the elderly and individuals with disabilities. A key challenge in these systems is efficient Human Activity Recognition (HAR). However, no study has systematically compared sing…
View article: Improving Human Pose Estimation with Integrated Dual Self-Attention Mechanism in High-Resolution Network
Improving Human Pose Estimation with Integrated Dual Self-Attention Mechanism in High-Resolution Network Open
Human Pose Estimation (HPE) in computer vision (CV) has garnered significant attention due to its diverse applications. Deep convolutional neural networks (CNNs) may be solutions for addressing this challenge, but still face several critic…
View article: An Efficient Stacked-LSTM Based User Clustering for 5G NOMA Systems
An Efficient Stacked-LSTM Based User Clustering for 5G NOMA Systems Open
Non-orthogonal multiple access (NOMA) has been a key enabling technology for the fifth generation (5G) cellular networks. Based on the NOMA principle, a traditional neural network has been implemented for user clustering (UC) to maximize t…
View article: Deep Neural Network (DNN) for Efficient User Clustering and Power Allocation in Downlink Non-Orthogonal Multiple Access (NOMA) 5G Networks
Deep Neural Network (DNN) for Efficient User Clustering and Power Allocation in Downlink Non-Orthogonal Multiple Access (NOMA) 5G Networks Open
Non-orthogonal multiple access (NOMA) emerges as a promising candidate for 5G, which radically alters the way users share the spectrum. In the NOMA system, user clustering (UC) becomes another research issue as grouping the users on differ…
View article: Extreme Learning Machine (ELM) for Fast User Clustering in Downlink Non-Orthogonal Multiple Access (NOMA) 5G Networks
Extreme Learning Machine (ELM) for Fast User Clustering in Downlink Non-Orthogonal Multiple Access (NOMA) 5G Networks Open
Non-orthogonal multiple access (NOMA) has been envisaged as a successor of orthogonal multiple access (OMA) in the fifth generation (5G) networks and beyond because NOMA has been theoretically and empirically proven to be more bandwidth-ef…
View article: Efficient User Clustering Using a Low-Complexity Artificial Neural Network (ANN) for 5G NOMA Systems
Efficient User Clustering Using a Low-Complexity Artificial Neural Network (ANN) for 5G NOMA Systems Open
Non-orthogonal multiple access (NOMA) has gained considerable interest from the 3GPP community as a potential radio access strategy for the future fifth-generation (5G) wireless networks. Compared to orthogonal multiple access (OMA), NOMA …
View article: Low-Complexity Particle Swarm Optimization based Adaptive User Clustering for Downlink Non-Orthogonal Multiple Access deployed for 5G systems.
Low-Complexity Particle Swarm Optimization based Adaptive User Clustering for Downlink Non-Orthogonal Multiple Access deployed for 5G systems. Open