Integrating digital twin technology with deep reinforcement learning for sustainable marine fishery resource management. [PDF]
Chen Y, Ke L, Hu J.
europepmc +1 more source
ABSTRACT The present study aimed to evaluate the developmental morphometry of the paranasal sinuses using computed tomography (CT) in subjects aged 1–25 years and to characterize age‐related changes in sinus dimensions, volume, and surface area throughout childhood, adolescence, and young adulthood.
Ceyda Şevval Çetin +4 more
wiley +1 more source
Towards Autonomous Bio-Inspired Optimization: Deep Reinforcement Learning for Adaptive Metaheuristic Orchestration. [PDF]
Carrasco C +5 more
europepmc +1 more source
Gutter Rotation Technique for Percutaneous Ipsilateral Retrieval of a Ruptured SAPIEN‐3 Balloon
ABSTRACT Balloon rupture during transcatheter aortic valve replacement (TAVR) with balloon‐expandable valves is a rare but potentially serious complication that may result in incomplete valve expansion, difficult device retrieval, and vascular injury.
Anne Venkata Ganeshkumar +5 more
wiley +1 more source
Eigenspace-based reinforcement learning acceleration of statistical convergence in turbulent flows.
Masclans N, Jofre L.
europepmc +1 more source
Optimization of train real-time dynamic scheduling under unexpected events in high-speed railway based on MAPPO. [PDF]
Tang Z, Huang P, Sun J.
europepmc +1 more source
ABSTRACT Background and Objectives Whole‐grain (brown) rice has superior nutritional quality but is prone to rancidity, primarily caused by endogenous lipases and oxidases. This study evaluated mild hydrothermal stabilization (MHS), comprising grain surface wetting, followed by short‐duration atmospheric‐pressure steaming, applied to two West African ...
Sali A. Ndindeng +5 more
wiley +1 more source
Techno‐Economic Assessment of Biomethane and Biohydrogen Production From Victorian Wheat Straw
Techno‐economic assessment of biomethane and biohydrogen production from Victorian wheat straw. Off‐grid renewable photovoltaic energy with a price down to 0.95 ¢/kWh was applied. Both approaches can make positive profits and negative carbon footprints.
Shuanglong Tan +7 more
wiley +1 more source
Deep Reinforcement Learning for Collision-Aware Leader-Follower Formation Control. [PDF]
Romaniuk S, Budnik J.
europepmc +1 more source
Enzymatic Electrosynthesis for Sustainable CO2 Conversion: Advancing Circular Carbon Economy
Enzymatic electrosynthesis (EES) offers molecular precision in synthesizing value‐added products from CO2. We highlight its distinct edge over alternative enzyme‐hybrid systems and analyze electron transfer pathways. Key strategies to overcome electron transfer bottlenecks and expand product diversity are addressed, and also data‐driven approaches for ...
Yan Xie +7 more
wiley +1 more source

