Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

C. Kandasamy

View on Semantic Scholar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

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

An LSTM-Driven Model for Accurate Agricultural Pest Risk Prediction

This research aims to build an effective predictive modeling system for agricultural pest risk using machine learning techniques and weather conditions. The study focuses on increasing prediction accuracy by checking deep learning models to help with timely and correct pest management decisions. In this research, we sa...

C. Kandasamy, B. Pradeepa, J. Kanimozhi et al. · 0 citations
Conference Jul 2026

CatBoost-based Soil Health Monitoring and Fertilizer Application Optimization

The aim of this research is to develop soil health prediction model and to compare the performance of XGBoost with the proposed algorithm, CatBoost, in enhancing fertilizer application decisions. The two groups evaluated the dataset. Group 1 used XGBoost tuned for its hyperparameters, while Group 2 used CatBoost that f...

N.Prakash, M.Kavinandhini, K.Jeevitha et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.