Enhanced machine learning approach with orthogonal frequency division multiplexing to avoid congestion in wireless communication system.

AS Alqahtani, A Mubarakali… - Optical & Quantum …, 2023 - search.ebscohost.com
In urban area vehicular adhoc network ascertaining appropriate channel for load balanced
high data transferring, in dynamic network location is addressed by several industries and …

A Fiber-Wireless Monitoring System with a QoE Instrument for Smart Grid Technology

H Tabassum, L Niranjan, SP Atti… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Smart Grid Technology such as isolated condition monitoring, synchro phasors,
teleprotection, and asset regulation are just a few that require robust and rapid data …

Machine Learning based Routing approach and Resource Management in Vehicular Adhoc Networks

MV Gudur, M Saravanan… - … on Recent Trends in …, 2023 - ieeexplore.ieee.org
Vehicular Adhoc Network (VANET) is one of the innovative research areas in Adhoc network
that establishes communication between participating nodes with help of inter-mediate node …

Deep learning neural network (DLNN)-based classification and optimization algorithm for organ inflammation disease diagnosis

AA Basha, AM Ali, P Parthasarathy, OE Tayfour… - Soft Computing, 2023 - Springer
Diagnostic image volume and complexity in healthcare system increases in rapid pace
where available human proficiency may not sufficient for interpreting this much capacity of …

A Wireless Detector Network for Three-Dimensional Positioning Using Artificial Neural Networks

J Suneetha, L Niranjan, H Tabasum… - … on Recent Trends in …, 2023 - ieeexplore.ieee.org
In a number of area applications, where measuring data is useless without precise position,
Wireless detector networks (WDNs) have been employed. In the literature, numerous …

Cluster synchronization of stochastic two-layer delayed neural networks via pinning impulsive control

J Wei, C Zhang, Y Guo, F Wang - Journal of Applied Mathematics and …, 2024 - Springer
This paper considers the cluster synchronization of stochastic two-layer delayed neural
networks via pinning impulsive control. First, the cluster synchronization of the first layer …

An Artificial Neural Network Based Energy Efficient Wireless Detection System to Extend the Lifetime of the Network

R Taseen, L Niranjan, H Yaseen, IA BK… - … on Smart Systems …, 2023 - ieeexplore.ieee.org
The eventual growth, as well as successful convergence of various technologies such as
wireless technology, nano-electro-mechanical devices (NEMD), and digital electronics, have …

A Novel Based NSEC System for Integrating Network Capability with Wireless Sensor Network using Web Services

H Tabasum, SG Samuvel, AN Shilpa… - … on Smart Systems …, 2023 - ieeexplore.ieee.org
WSNs are anticipated to significantly enhance the situational understanding of participants
on the battlefield. However, the detectors are not particularly useful if the data they produce …

Neuromorphic computing implemented by Field-Free memristive switching in CoPt films with multiple inversion symmetries broken

R Xie, S Liu, T Yang, M Zhu, Q Huang, Q Cao… - Journal of Magnetism …, 2025 - Elsevier
Field-free perpendicular magnetization switching driven by bulk spin–orbit torque (SOT)
shows great promise as hardware for neuromorphic computing owing to its multistate …

VRFNet-ASLiT: Fused Deep CNN and Adaptive Super Resolution Transform Based Hand Gesture Recognition

R Kushwaha, M Kumar, D Kumar - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Hand gesture recognition plays a vital role in human-computer interaction, offering a natural
and intuitive means of communication. However, vision-based hand gesture recognition is …