Bringing quantum ideas to the messy world of disordered proteins

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
IEEE

Two-Stage Genetic Algorithm Offline Parameter Optimization of Adaptive Extended Kalman Filter for Robust Battery State-Of-Charge Estimation

Abstract: Accurately estimating battery state of charge (SOC) in electric vehicle applications (EVs) is crucial to ensure a safe and reliable vehicle operation. However, robust SOC estimation under ...
IEEE

A Learning-Assisted Tri-Network-Based Parameter Control Framework: From Small-Scale to Large-Scale Global Optimization

Abstract: Parameter control improves metaheuristics by automated parameter generation. However, it often relies on handcrafted formulas derived from expert knowledge. The design rationale and decision ...
Frontiers

Multi-pollutant prediction and process parameter optimization of a wastewater treatment plant based on machine learning models

1 Langfang Qingquan Water Supply Co., Ltd., Langfang, Hebei, China 2 Civil Engineering Department, North China Institute of Aerospace Engineering, Langfang, China However, current operational ...
Frontiers

Application of the ANN with swarm optimization algorithm in layer property backcalculation for asphalt pavement

State-of-the-art techniques for pavement performance evaluation have attracted considerable attention in recent years. Artificial Neural Networks (ANNs) can simulate the human brain to discover hidden ...
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 ...