IEEE

Multi-Objective Charging Optimization of Lithium-Ion Batteries Considering Electrical, Thermal, and Aging Behaviors Using Deep Reinforcement Learning

Abstract: Lithium-ion battery charging involves many factors such as electricity, heat, aging, etc. Shortening the charging time of lithium-ion batteries while limiting aging and temperature rise is ...
BioSpace

Zealand Pharma and OTR Therapeutics enter multi-program strategic collaboration and license agreement to develop novel therapeutics for metabolic diseases

Collaboration will combine Zealand Pharma’s expertise in obesity and metabolic health with OTR Therapeutics’ proprietary oral small-molecule platform and strong drug discovery capabilities, to ...
Variety

Japan Expands Film Incentive Program, Introduces Multi-Year Subsidies for International Productions

Japan‘s Ministry of Economy, Trade and Industry is extending its film and television incentive program through fiscal year 2026 with enhanced provisions designed to attract more overseas productions, ...
IEEE

Health- And Thermal-Aware Multi-Objective Energy Management for Fuel Cell Postal Delivery Vehicle Using Velocity Preview Information

Abstract: Fuel cell hybrid vehicles (FCHVs) have drawn tremendous attention due to the advantages of zero emissions. Existing energy management strategies (EMSs) typically fail to adequately address ...
Phys.org

Flood disaster prediction using multi-scale deep learning and neuro-fuzzy inference

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall. The model described in the ...
C&EN

Sustainable Optimization of Lightweight Aggregate Production from Bauxite Residue via Nonlinear Programming

Graduate Program in Biotechnology, Federal University of Pará, Belém 66075-110, Brazil Graduate Program in Process Engineering, Federal University of Pará, Belém 66075-110, Brazil Faculty of Chemical ...