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Author

Esther J.

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Aug 2026

Integration of CNN and Random Forest Classifier for Detecting Tomato Diseases

This work proposes Convolutional Neural Network with random forest (RF) (CNN-RF) trained on a single plant which is tomato, which aims to solve the problem by using CNN and Random forest classifier to leverage machine learning algorithms trained on extensive datasets of tomato leaves to identify symptoms and patterns i...

Isaac Phiri, Regi Anbumozhi Y., Esther J. · 0 citations
Aug 2026

Fertilizer Recommender using XGBoost and Random Forest

The proposed XG-RF model outperformed traditional standalone approaches, achieving improved fertilizer prediction accuracy and optimized fertilizer dosage recommendations, and incorporates continuous learning through farmer feedback and historical records to improve future predictions.

John Pandu, Sahaya Flarin J., Esther J. · 0 citations
Aug 2026

A Hybrid CNN–LSTM Framework with Explainable AI for Robust Deepfake Detection

A robust, explainable detection framework is presented that combines a CNN backbone for extracting spatial artifacts with an LSTM module for modeling temporal inconsistencies across frames that enhances forensic decision support and increases practical readiness for content verification systems.

Lastone Banda, Esther J. · 0 citations

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