AIChE Journal, EarlyView.Abstract Supply and manufacturing networks in the chemical industry involve diverse processing steps across different locations, rendering their operation vulnerable to disruptions from unplanned events. Optimal responses should consider factors such as product allocation, delayed shipments, and price renegotiation, among other factors. In such context,
Daniel Ovalle +6 more
wiley +1 more source
Capital market liberalization and corporate environmental performance: Evidence from the Shanghai-Hong Kong Stock Connect. [PDF]
PLoS OneZhong Q.
europepmc +1 more source
Hindered cracking in colloidal suspension coatings via evaporation‐driven lyotropic liquid crystals
AIChE Journal, EarlyView.Abstract We demonstrate that lyotropic liquid crystalline (LC) phases, formed by the molecular interactions between 1‐glyceryl monooleyl ether (GME) and water, offer new pathways for producing crack‐free particulate films from colloidal suspensions. Drying experiments on titanium dioxide‐ethanol‐water‐GME suspension systems revealed a 15‐fold increase ...
Masato Yamamura
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Exploring the connectedness between non-fungible token, decentralized finance and housing market: Deep insights from extreme events. [PDF]
HeliyonAnwar R, Raza SA.
europepmc +1 more source
Reinforcement learning for optimal control of stochastic nonlinear systems
AIChE Journal, EarlyView.Abstract A reinforcement learning (RL) approach is developed in this work for nonlinear systems under stochastic uncertainty. A stochastic control Lyapunov function (SCLF) candidate is first constructed using neural networks (NNs) as an approximator to the value function, and then a control policy designed using this SCLF is developed to ensure the ...
Xinji Zhu, Yujia Wang, Zhe Wu
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A Non-Stochastic Special Model of Risk Based on Radon Transform. [PDF]
Entropy (Basel)Makowski M, Piotrowski EW.
europepmc +1 more source
Advancements in Machine Learning for Microrobotics in Biomedicine
Advanced Intelligent Systems, EarlyView.Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi +6 more
wiley +1 more source
Herding towards pygmalion: Examining the cultural dimension of market and bank based systems. [PDF]
HeliyonSaltik Ö +3 more
europepmc +1 more source
Deep Learning Methods in Soft Robotics: Architectures and Applications
Advanced Intelligent Systems, EarlyView.Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda +3 more
wiley +1 more source