Results 221 to 230 of about 8,669,620 (261)

Bio-Inspired CPG Modulation via Proprioceptive Deep Reinforcement Learning for Adaptive Hexapod Locomotion Across Terrain Transitions. [PDF]

Biomimetics (Basel)
Jiang H, Lin Y, Li Z, Shuai L.
europepmc   +1 more source

Review of Gastrointestinal Capsule Robots: Materials, Actuation, Diagnostics, and Therapeutics

Advanced Science, EarlyView.
This review examines gastrointestinal capsule robots through a systems engineering lens, covering shell materials, actuation and localization strategies, diagnostic modalities, therapeutic interventions, and commercialization status. By mapping the complete technological chain from fabrication to clinical deployment, this work identifies critical gaps ...
Zengsheng Li, Zhongguo Ren, Yiliang Lin, Xianfeng Xia, Tianlong Li, Kai Fung Chan, Philip Wai Yan Chiu, Wei Peng Yong, Mengmeng Sun   +8 more
wiley   +1 more source

A Testability Strategy Optimization Method Under Multi-Valued Dependency Condition Based on Deep Reinforcement Learning. [PDF]

Entropy (Basel)
Zhang C, Zhang Y, Wang F, Su X, Dong Z, Zuo L.   +5 more
europepmc   +1 more source

Deciphering Anti‐Cancer Drug Efficacy Through Nanomechanical Vibrations in Living Gastric Cancer Organoids

Advanced Science, EarlyView.
This study developed an efficacy assessment platform that integrates patient‐derived gastric cancer organoids, atomic force microscopy (AFM)‐based nanomechanical vibration detection, deep learning analysis, and organoid mechanical modeling. It detects picomolar drug effects within 0.1 s signal, achieves 97% classification accuracy, and offers non ...
Ting Zhang, Qiubo Chen, Shihai Lan, Liang Zhu, Shuaiyu Liu, Yan Xia, Yalu Zhang, Hanhui Yao, Yongman Liu, Shangquan Wu, Qingchuan Zhang   +10 more
wiley   +1 more source

Rehab-DRLX: explainable neurorehabilitation prognosis using deep reinforcement learning and transformer-based models. [PDF]

Front Comput Neurosci
Alsolai H, Khan S, Mahendran RK, Panwar A, Alabduallah BI, Alhayan F.   +5 more
europepmc   +1 more source

Differential Tissue‐Coupled Powering for Battery‐Free Injectable Electroceuticals

Advanced Science, EarlyView.
A thread‐like injectable neural stimulator is powered through differential tissue‐coupled powering (DTCP), which harvests RF‐frequency tissue potentials with an elongated receiver while preserving a injectable cross‐section. The system integrates an ASIC, stimulation electrodes, and a portable transmitter, enabling wireless peripheral nerve stimulation,
Han Wu, Sultan Mahmud, Mali Halac, Asif Iftekhar Omi, Domenica Sofia Baez Rodas, Jeremiasz Dados, Chaojun Cheng, Anyu Jiang, Cameron Wallace, Anvi Singh, Erin Patrick, Baibhab Chatterjee, Shriya Srinivasan, Adam Khalifa   +13 more
wiley   +1 more source

Enhancing knowledge graph recommendations through deep reinforcement learning. [PDF]

Sci Rep
Zhou J, Shen D, Guo Y, Zhao Y, Zhang H.
europepmc   +1 more source

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

Advanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang, Yuqi Zhang, Xuzhe Zhao, Yansong Tang, Kaichen Dong   +4 more
wiley   +1 more source

SLA aware deep reinforcement learning for adaptive EdgeCloud task scheduling. [PDF]

Sci Rep
Yamsani N, P CR.
europepmc   +1 more source