This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
Promoting Physical Activity and Peer Relationships in Adolescent Girls Through a Summer Program. [PDF]
Prochnow T +7 more
europepmc +1 more source
Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger +7 more
wiley +1 more source
Reinforcement Learning for Secure Semantic LEO Satellite Networks: Joint Fidelity-Secrecy Power Allocation. [PDF]
Zhou F, Zhu X.
europepmc +1 more source
Circular-economy residual-value assessment of retired lithium-ion batteries via degradation prediction and game-theoretic subsidies. [PDF]
Lan G, Chen Y, Yao D, Wang J.
europepmc +1 more source
Diffusion-Based Generative Model With Scaffold-Hopping Strategy Yields Highly Potent Bioactive Molecules. [PDF]
Yang Y +8 more
europepmc +1 more source
Risk-aware tactical path planning in partially observable environments via trajectory-value factorized recurrent PPO. [PDF]
Kim S, Kim S, Jeong H, Kwon H, Lee J.
europepmc +1 more source
Hierarchical Model Selection and Control for Latency-Energy Optimization in MEC-Assisted Vehicular Networks. [PDF]
Song I, Kang S, Ros S, Kim S.
europepmc +1 more source
A Stochastic Actor Oriented approach to model policy-driven innovation network dynamics
Stochastic actor oriented models (SAOM) are of growing importance to study network dynamics underlying the theoretical micro mechanisms that induce the evolution of relations among a set of social actors. SAOM represents a suitable methodological framework to investigate the evolution of policy driven innovation networks among heterogeneous agents. The
Caloffi, Annalisa +4 more
openaire +2 more sources

