Leveraging ML with XGBoost, CatBoost and LGBoost Classifiers to Optimize Water Quality Assessment and Prediction

P Singh, T Hasija, KR Ramkumar - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Water is a key valuable resource for the survival of every living being. Water quality is an
important concern at the global level as the pollution level continues to rise. Therefore, there …

Optimizing Phishing Detection Systems with Ensemble Learning: Insights from a Multi-Model Voting Classifier

P Singh, T Hasija, K Ramkumar - 2024 5th International …, 2024 - ieeexplore.ieee.org
Phishing attempts threaten cybersecurity, hence strong detection systems are necessary.
This research study highlights the utilization of ensemble learning methods to improve …

Synergistic Fusion of ML Algorithms and Ensemble Technique for Water Quality Classification

P Singh, T Hasija, KR Ramkumar - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
With the continuous rise in the pollution level of drinking resources, water quality is
becoming a major global concern. Thus, techniques for regulating and categorizing water …

Prospecting Brain Stroke Onset: A Comparative Analysis Of Supervised Learning Models

A Sharma, S Mittal - … Conference on Smart Power Control and …, 2024 - ieeexplore.ieee.org
Brain stroke is the most alarming disease worldwide. It causes sudden death due to
blockage in the blood vessels The mortality rate is gradually increasing. As per medical …