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Author

P.Kalyanasundaram

2 papers indexed here

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Conference Jul 2026

Machine Learning-based Performance Evaluation of XGBoost Compared with KNN and MLP for Local Water Quality Assessment

This study seeks to create a smart water quality analysis system with machine learning to help accurately evaluate the state of the local water bodies and solve the issue of low prediction accuracy. Three machine learning models were tested in the given study. Group 1 used the K-Nearest Neighbour (KNN) algorithm to pre...

N.Prakash, Sakthi Aravind P, P. Anitha et al. · 0 citations
Conference Jul 2026

Multi-Criteria AI System for Crop and Fertilizer Prediction

The significance of this research is the improvement of the forecasting precision for crop and fertilizer, and it specifically compares the performance difference between the Random Forest and LightGBM models. The study is conducted based on a Kaggle agricultural dataset comprising 10,000 records, where much informatio...

E.Nithyakala, P. Vignesh, P.Kalyanasundaram et al. · 0 citations

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