Reinforcement learning control method for greenhouse vegetable irrigation driven by dynamic clipping and negative incentive mechanism. [PDF]
Tang R +4 more
europepmc +1 more source
Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam +7 more
wiley +1 more source
AI-based modeling of CO<sub>2</sub> footprint in geopolymer concrete production containing GGBFS as a by-product from the iron industry. [PDF]
Kazemi R, Bashtani A, Mirjalili S.
europepmc +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
A novel machine learning approach to analysis of electroosmotic effects and heat transfer on Multi-phase wavy flow. [PDF]
Aslam MN +6 more
europepmc +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Deep learning approach to energy consumption modeling in wastewater pumping systems. [PDF]
Piri J, Masoudi B, Haghighi MS, Kisi O.
europepmc +1 more source
Determining the Potential of Maximum Entropy from Ab Initio Molecular Dynamics
Ab initio molecular dynamics simulations are used to compute the potential of maximum entropy (PME), linking pH, cation effects, and interfacial structure, while uncovering multiple PME values in mixed‐cation systems. Abstract Understanding electrochemical interfaces at the atomic level is essential for optimizing catalytic performance in energy ...
Amanda S. Petersen +7 more
wiley +1 more source

