IEEE

Hyperparameter Optimization for Improved Mine Detection Using Machine Learning: A Methodical Analysis of Classification Techniques

Abstract: The potent performance of ML models is essential for obtaining intelligent insights from the complexity of modern data. To enhance the performance, we explore the usage of hyperparameter ...
IEEE

DynaAdaFL: A GNN-assisted MARL Framework for Client Hyperparameter Adaptive Optimization in Edge Federated Learning for Carbon Emission Prediction

Abstract: Accurate prediction of carbon emissions is crucial for formulating effective climate policies. However, building powerful prediction models requires large-scale data, which are often ...
GitHub

constraint-optimization

Develop optimal solutions to a scheduling problem by modelling it as a Constraint Satisfaction Problem (CSP), a method used widely in the field of Artificial Intelligence. I've open-sourced Delegator ...
GitHub

sureshkonar/stock-portfolio-optimization

🚀 An end-to-end quantitative portfolio optimization & stock intelligence tool built with Python & Streamlit. Analyze NSE, BSE & NYSE stocks with predictions, portfolio optimization, risk metrics, and ...