Closed-Loop Deep Learning Improves E-Commerce Pricing and Forecasting
A new closed-loop framework using Transformer-based forecasting and Proximal Policy Optimization improves e-commerce dynamic pricing and demand accuracy by integrating ...
A new closed-loop framework using Transformer-based forecasting and Proximal Policy Optimization improves e-commerce dynamic pricing and demand accuracy by integrating ...
A study of nearly ten million trips demonstrates that integrating driver learning curves with telematics data reduces auto insurance premium ...
A systematic review of 234 studies reveals that machine learning enhances food safety and supply chain efficiency while facing reproducibility, ...
A systematic review of 96 studies finds demand-responsive transport research shifting from cost-minimising, operator-focused models toward multi-objective designs balancing rider ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine