Results 241 to 250 of about 5,876,040 (331)
Hybrid brain-computer interface using error-related potential and reinforcement learning. [PDF]
Xavier Fidêncio A+3 more
europepmc +1 more source
Interference Pattern Caused by Bilateral Bone Conduction Stimulation Impairs Sound Localization
This work explores how crosstalk‐induced wave interference affects bone conduction (BC) sound localization. Using a theoretical model, cadaveric vibrometry, and psychoacoustic tests, atypical BC lateralization patterns are revealed that contradict air conduction (AC) principles.
Liu‐Jie Ren+7 more
wiley +1 more source
Integrating QSAR modelling with reinforcement learning for Syk inhibitor discovery. [PDF]
Zavadskaya M+3 more
europepmc +1 more source
Colloidal nanoparticles self‐assembly advances towards intelligent, customized assembly through precise control of binary co‐assemblies. This review explores the evolution from monolithic to binary assemblies, highlighting how the AI‐guided programmable assembly approach has the potential to shift from passive assembly to active intelligent design.
Cancan Li+5 more
wiley +1 more source
Decentralized Multi-Robot Navigation Based on Deep Reinforcement Learning and Trajectory Optimization. [PDF]
Bi Y, Luo J, Zhu J, Liu J, Li W.
europepmc +1 more source
Weight Cycling Deregulates Eating Behavior in Mice via the Induction of Durable Gut Dysbiosis
Weight cycling in Humans is suspected to dysregulate eating behavior. Mice submitted to body weight cycling by alternating western‐type and regular chow diets display increased hedonic appetite when exposed to a palatable diet, reminiscent of binge‐eating episodes.
Mélanie Fouesnard+13 more
wiley +1 more source
Optimizing MRI Scheduling in High-Complexity Hospitals: A Digital Twin and Reinforcement Learning Approach. [PDF]
Silva-Aravena F+3 more
europepmc +1 more source
Driven by AI computing demands, this study investigates MoS2 channels for 3D NAND Flash to achieve high‐density, low‐power, and reliable nonvolatile memory. MoS2 enables a large memory window and lower operating voltages with low‐k tunneling layer, demonstrating endurance of 10⁴ cycles and retention of 10⁵ s. Comprehensive analyses and machine learning‐
Ki Han Kim+7 more
wiley +1 more source
Coverage Path Planning Using Actor-Critic Deep Reinforcement Learning. [PDF]
Garrido-Castañeda SI+2 more
europepmc +1 more source