Pratik Chakraborty

A Dual-Branch Explainable AI Framework Combining Machine and Deep Learning for Air Quality Forecasting in Indian Cities

Pratik Chakraborty, Shanthi P B

Abstract A precise Air Quality Index (AQI) forecasting is essential for ecosystem monitoring and societal health management. This study proposes a dual-branch explainable AI framework that brings together machine learning models (XGBoost, LightGBM,CatBoost, Linear Regression) and…Read more

An explainable AI framework integrating machine and deep learning models for multi-species DNA functional group classification

Pratik Chakraborty, P. B. Shanthi

Abstract DNA functional group classification across species plays a crucial role in understanding genetic diversity, evolutionary relationships and biological function. The increasing availability of genomic data has led to the use of machine learning and deep learning methods fo…Read more

An Explainable Multi-Level Framework for Cervical Cancer Detection Using Traditional Computer Vision and Deep Learning

Medha Chawla, Pratik Chakraborty, Sriram Sunderrajan, Rani Oomman Panicker