Results 181 to 190 of about 10,257 (261)

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

ADS-MIR: A Machine Perception-Oriented Visible-Infrared Sensor Fusion Framework for Intelligent Transportation Perception Under Complex Illumination Conditions. [PDF]

Sensors (Basel)
Yang J, Wu J, Zhang X, Yang Z, Shen H, Shen B, Zeng C.   +6 more
europepmc   +1 more source

Dynamic Etching‐Induced Cl‐Terminated Ti3C2Clx/Ti3ZnC2 Heterostructure for Ammonia Electrosynthesis and Zinc‐Nitrogen Batteries

Advanced Science, EarlyView.
A stable Ti3C2Clx/Ti3ZnC2 heterostructure, fabricated by dynamic etching, exhibits outstanding electrocatalytic NRR activity (NH3 yield: 20.1 µg h−1 mg−1, FE: 38.1%) in alkaline media. The corresponding Zn‐N2 battery achieves a peak power density of 36.5 µW cm−2 and an NH3 yield of 13.1 µg h−1 mg−1, providing an advanced strategy for NH3 and ...
Yu Wang, Ying Sun, Liqun Ye, Jichi Liu, Hui Li, Yang Fu, Fengzhan Sun, Jieshan Qiu, Chang Yu, Tianyi Ma   +9 more
wiley   +1 more source

Quantification of Craniofacial Growth Pattern Based on Deep Learning. [PDF]

Bioengineering (Basel)
Hu Z, Zhang Y, Liu N, Gao X, Huang Z, Wu G, Zhang Z, Wang S.   +7 more
europepmc   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

A Comparative Analysis of Explainable AI (XAI) Techniques for Transparent and Reliable Image Classification. [PDF]

Entropy (Basel)
Chakraborty S, Dipto SM, Pilkiewicz KR, Mayo ML, Rana P.   +4 more
europepmc   +1 more source

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

Multi-scale covariance filtering for edge-preserving medical image fusion. [PDF]

Sci Rep
Sharma S, Rani S, Dogra A, Shabaz M.
europepmc   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Infrared and visible image fusion algorithm based on NSCT and improved FT saliency detection. [PDF]

Sci Rep
Fan X, Kong F, Shi H, Guo Y.
europepmc   +1 more source