Results 161 to 170 of about 29,428 (264)

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Temperature‐Resilient Reconfigurable Physical Unclonable Function Driven by Pulse Modulation Using CMOS‐Integrated Spintronic Chips

Advanced Science, EarlyView.
A reconfigurable physical unclonable function is developed using CMOS‐integrated SOT‐MRAM chips, leveraging a dual‐pulse strategy and offering enhanced environmental robustness. A temperature‐compensation effect arising from the CMOS transistor and SOT‐MTJ is revealed and established as a key prerequisite for thermal resilience.
Min Wang, Chuanpeng Jiang, Zhaohao Wang, Zhengyi Hou, Zhongkui Zhang, Yuanfu Zhao, Hong‐xi Liu, Weisheng Zhao   +7 more
wiley   +1 more source

Energy-efficient traffic sign recognition using directly trained spiking neural networks and population decoding. [PDF]

Front Neurosci
Schulte JV, Peters S.
europepmc   +1 more source

Hardware-Efficient EMG Decoding for Next-Generation Hand Prostheses

Advancements in neural engineering have enabled the development of Robotic Prosthetic Hands (RPHs) aimed at restoring hand functionality. Current commercial RPHs offer limited control through basic on/off commands.
Mendez, Vincent Alexandre, Kalbasi, Mohammad, Shaeri, MohammadAli, Micera, Silvestro, Shoaran, Mahsa, Shokur, Solaiman   +5 more
core  

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

Advanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 more
wiley   +1 more source

Neural and Behavioral Correlates of Evidence Accumulation in Human Click-Based Echolocation. [PDF]

eNeuro
García-Lázaro HG, Teng S.
europepmc   +1 more source

Ambipolar Organic–Inorganic Heterostructure Transistor Array for Integrated Visual Information Processing

Advanced Science, EarlyView.
We present an organic–inorganic heterostructure transistor array for neuromorphic computing, achieving 95.6% MNIST accuracy and 1.2 fJ per operation, with dynamic spatiotemporal encoding and precise vehicle direction detection under combined optical and electrical stimulation.
Wen‐Min Zhong, Wenbin Zhang, Yu‐Xiang Zeng, JiYu Zhao, Ziqi Jia, Loganathan Veeramuthu, Guanglong Ding, Yan Yan, Meng Zhang, Su‐Ting Han, Vellaisamy A. L. Roy, Fengyun Wang, Chi‐Ching Kuo, Ye Zhou   +13 more
wiley   +1 more source

Multidimensional dynamic characterization and decoding of finger movements using magnetoencephalography. [PDF]

Imaging Neurosci (Camb)
Zheng Y, Wang X, Zheng L, Zhang H, Wang F, Zhuo Y.   +5 more
europepmc   +1 more source

Multi-State Models for Panel Data: The msm Package for R

Panel data are observations of a continuous-time process at arbitrary times, for example, visits to a hospital to diagnose disease status. Multi-state models for such data are generally based on the Markov assumption.
Christopher Jackson
core  

WS2 Optoelectronic Memristive Reservoir Enabling Ultra‐Low‐Power, Multi‐Task, and Environmentally Stable Neuromorphic Computing

Advanced Science, EarlyView.
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar, Hanrui Li, Divyanshu Divyanshu, Dhananjay D. Kumbhar, Manoj Kumar Rajbhar, Amit Singh, Abdul Momin Syed, Selma Amara, Gianluca Setti, Nazek El‐Atab   +9 more
wiley   +1 more source