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A. B

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Conference Aug 2026

A Low-Complexity CNN-LSTM Framework for Solar Power Generation Forecasting Using Weather Parameters

Accurate solar power forecasting is very important for operating photovoltaic (PV) systems and using energy resources efficiently. This paper proposes a lowcomplexity CNN+LSTM model to predict both solar power and weather conditions by using real-time data collected from IoTbased sensors. To monitor performance and ant...

A. B, Sharmitha K, Sashini M et al. · 0 citations
Conference Jul 2026

A Hybrid Deep Learning Architecture Integrating YOLOv8 and ResNet for Lung Disease Diagnosis

This project introduces an AI-powered diagnostic platform designed to identify major respiratory conditions from chest X-ray images using a advanced hybrid Deep Learning architecture. By integrating YOLOv8 for precise lesion localization and ResNet50 for deep feature extraction, the system overcomes the limitations of...

A. B, M. S, P. N et al. · 0 citations

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