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Conference Open access Sep 2026

Deepforest: A Deep CNN Framework for Early Forest Fire Detection

DeepForest, a deep Convolutional Neural Network (CNN)-based approach to detect early forest fires from optical and thermal images acquired from ground and aerial cameras, is proposed, demonstrating better accuracy, precision and fewer false alarms than traditional approaches.

D. Vanusha, B. Sunitha, R. Merugu et al. · 0 citations
Open access Oct 2026

An Adaptive Framework for Breast Cancer Prognosis Using LARF-Driven Feature Selection, Self-Tuning Hyperparameters and Multi-Model Ensemble Fusion

The use of advanced pre-processing methods, feature selection, hyperparameter optimization, and ensemble learning methods in this study provides a holistic solution for breast cancer diagnosis. The technique employs the synthetic minority over-sampling technique (SMOTE) to rebalance the dataset, along with the interqua...

R. Merugu, Yaramala Vijay Bhaskar Reddy, Vijaya Chandra Jadala et al. · 0 citations

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