Results 281 to 290 of about 1,163,868 (343)
Herein, a deep reinforcement learning‐based multi‐UAV formation control approach is proposed. By optimizing the utilization of historical data through correcting of offline samples, the past experience is better leveraged and learning performance is improved.
Zhongkai Chen+4 more
wiley +1 more source
Continuing education for the chiropractic profession: a cross-sectional study analyzing potential barriers to future chiropractic academic and research development. [PDF]
Schueren S+4 more
europepmc +1 more source
This study addresses multiagent defense challenges against low‐cost swarm attacks through a hierarchical framework combining resource allocation and PPO optimization. The three‐layer architecture coordinates strategic planning, deployment optimization, and real‐time execution.
Xiaokai Fei+2 more
wiley +1 more source
Interdisciplinary medical education practices: building a case-driven interdisciplinary simulation system based on public datasets. [PDF]
Qiu K, Zeng T, Xia W, Peng M, Kong W.
europepmc +1 more source
Insect‐Inspired Resilient Machines
This study presents a decentralized resilient control for legged robots, enabling self‐organized locomotion and rapid adaptation to extreme leg loss within seconds. It encodes the self‐embodied resilience strategies observed in stick insects and relies on neural dynamics with synaptic plasticity, minimal sensory feedback, and dynamic robot–environment ...
Thirawat Chuthong+3 more
wiley +1 more source
Exploring the construction of a youth mental health campus ecosystem integrating research-practice teaching. [PDF]
Gao T.
europepmc +1 more source
This work harnesses nonidealities in analog in‐memory computing (IMC) by training physical neural networks modeled with ordinary differential equations. A differentiable spike‐time discretization accelerates training by 20× and reduces memory usage by 100×, enabling large IMC‐equivalent models to learn the CIFAR‐10 dataset.
Yusuke Sakemi+5 more
wiley +1 more source