Results 81 to 90 of about 1,446,045 (274)

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +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 Bayesian Compressive Sensing Vehicular Location Method Based on Three-Dimensional Radio Frequency

International Journal of Distributed Sensor Networks, 2014
In vehicular ad hoc networks (VANETs) safety applications, vehicular position is fundamental information to achieve collision avoidance and fleet management.
Yunpeng Wang, Xuting Duan, Daxin Tian, Jianshan Zhou, Yingrong Lu, Guangquan Lu   +5 more
doaj   +1 more source

Exploiting Fine-Grained Subcarrier Information for Device-Free Localization in Wireless Sensor Networks

Sensors, 2018
Device-free localization (DFL) that aims to localize targets without carrying any electronic devices is addressed as an emerging and promising research topic.
Yan Guo, Dongping Yu, Ning Li
doaj   +1 more source

Tree-Structure Bayesian Compressive Sensing for Video

CoRR, 2014
5 pages, 4 ...
Xin Yuan 0002, Patrick Llull, David J. Brady, Lawrence Carin   +3 more
openaire   +2 more sources

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Structure-Aware Bayesian Compressive Sensing for Near-Field Source Localization Based on Sensor-Angle Distributions

International Journal of Antennas and Propagation, 2015
A novel technique for localization of narrowband near-field sources is presented. The technique utilizes the sensor-angle distribution (SAD) that treats the source range and direction-of-arrival (DOA) information as sensor-dependent phase progression ...
Si Qin, Yimin D. Zhang, Qisong Wu, Moeness G. Amin   +3 more
doaj   +1 more source

Compressed sensing of monostatic and multistatic SAR [PDF]

, 2013
In this letter, we study the impact of compressed data collections from a synthetic aperture radar (SAR) sensor on the reconstruction quality of a scene of interest.
Çetin, Müjdat, W. Clem Karlb, Mujdat Cetinc, Stojanovic, Ivana, Karl, W. Clem, Ivana Stojanovica   +5 more
core   +1 more source

A Portable Soft Robotic Glove with Fully Functional Thumb Assistance for Complex Dexterous Fine Motor Skills

Advanced Science, EarlyView.
A portable, sensorized, and controlled dexterous thumb‐enhanced glove helps stroke survivors swipe phones, twist caps, and perform other tasks. It is based on a powerful continuously, segmented origami dual chamber actuator to achieve active thumb CMC and MCP joint assistance and passively extend the IP joint.
Disheng Xie, Zhen Wang, Zhongping Ye, Minghao Liu, Xiangqian Shi, Shuk Fan Tong, Jianbin Liu, Chuanbin Mao, Thomas W. Leung, Haitao Liu, Raymond Kai‐yu Tong   +10 more
wiley   +1 more source

Joint-Sparse Polarimetric ISAR Imaging via Complex-Valued Multitask Bayesian Compressive Sensing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Compressive sensing (CS) is essential for achieving high-resolution polarimetric inverse synthetic aperture radar (ISAR) imaging. However, conventional sparse recovery paradigms primarily rely on independent single-channel processing, thereby neglecting ...
Ruowen Deng, Hui Ding, Xiandong Jiang, Yechao Bai   +3 more
doaj   +1 more source