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R. Krishnan

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Conference Aug 2026

A Hybrid Deep Learning Framework for Predictive Maintenance in Lithium-Ion Battery Manufacturing

Lithium-ion battery production is an important industry as there is a growing demand for energy storage in areas such as transportation, consumer electronics, energy generation, and other industrial applications. Continuous manufacturing operations demand that the equipment used for production be of high quality in ord...

S. Jegadeesan, P. Darney, R. Krishnan et al. · 0 citations
Conference Aug 2026

Hybrid Explainable Deep Learning Framework for IoT-Enabled Smart Waste Classification Using Transfer Learning and Frequency Analysis

Rapid urbanization and increase in the generation of municipal waste have necessitated the need for intelligent waste classification for effective recycling and sustainable resource management. Conventional waste classification schemes encounter difficulties due to environmental variations, background interference, ill...

J. R. Ranjeni, Selvin Retna Raj Thavasimuthu, R. Krishnan et al. · 0 citations
Open access Sep 2026

Energy-efficient AI-enabled wireless sensor networks for health information delivery in rural communities

The results of simulations reveal that BISLE WSN demonstrates significant improvement in network lifetime, energy efficiency, reliability, and latency compared to the current protocols, making it suitable for healthcare monitoring in rural areas.

M. A. Kumar, K. Kalaivanan, R. Krishnan et al. · 0 citations
Conference Aug 2026

LSTM-Based Renewable Energy Forecasting for Intelligent Grid Performance Optimization

The use of renewable energy in sustainable power production is becoming ever more vital; yet, the unpredictability of renewable sources poses difficulties regarding grid stability and optimal energy use. Solar radiation, wind speed, temperature, and various other meteorological parameters contribute to the unpredictabi...

B. Chandrasekaran, Muppudathi Sutha S, Kruthika Paulraj et al. · 0 citations
Conference Jul 2026

Automatic Cyberattack Detection and Eradication System using Intelligent Network Traffic Analysis

The fast-growing interconnectivity of networks and digital communication platforms, along with extensive information exchange, has made cybersecurity issues in modern computing environments more severe. The expansion of networking infrastructures always results in a massive flow of traffic, thus rendering traditional m...

D.NirmalaDevi, J. K. Jeevitha, P. M et al. · 0 citations
Open access Jul 2026

An enhanced intelligent framework for 5G V2X communication using multi-objective optimization and mobility-aware transformer networks.

The proposed framework achieves 20-30% reduced latency, a 15-35% reduction in energy consumption, and an 18-28% throughput enhancement compared to existing methods, and ensures a wide improvement in reliability and adaptability in 5G V2X communication networks.

A. Sangeetha, R. Krishnan, T. Sathya et al. · 0 citations

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