Results 261 to 270 of about 606,530 (324)

Rapid estimation of soil water content based on hyperspectral reflectance combined with continuous wavelet transform, feature extraction, and extreme learning machine. [PDF]

PeerJ
Chen S, Gao J, Lou F, Tuo Y, Tan S, Shan Y, Luo L, Xu Z, Zhang Z, Huang X.   +9 more
europepmc   +1 more source

Empowering Carbon Fibers With Ti3C2Tx MXene: A Paradigm Shift Toward Integrated Structure‐Function Composites

Advanced Science, EarlyView.
This review comprehensively outlines how Ti3C2Tx MXene transforms carbon fiber from a structural component into a multifunctional platform. We systematically detail cutting‐edge modification strategies and showcase exceptional performance in EMI shielding, energy storage, smart sensing, and beyond.
Hongshuo Cao, Yue Xing, Jiangman Sun, Yanhong Tian, Yangyang Gao, Xuejun Zhang, Xiubing Liang   +6 more
wiley   +1 more source

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

Landslide risk assessment combining kernel extreme learning machine and information value modeling-A case study of Jiaxian Country of loess plateau, China. [PDF]

Heliyon
Wang Y, Kang L, Wang J.
europepmc   +1 more source

Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors

Advanced Electronic Materials, EarlyView.
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim, Ju‐Hyeok Yun, Hea‐Lim Park, Sin‐Hyung Lee   +3 more
wiley   +1 more source

Load Recognition in Home Energy Management Systems Based on Neighborhood Components Analysis and Regularized Extreme Learning Machine. [PDF]

Sensors (Basel)
Cabral TW, Neto FB, de Lima ER, Fraidenraich G, Meloni LGP.   +4 more
europepmc   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Multi-Energy Load Prediction Method for Integrated Energy System Based on Fennec Fox Optimization Algorithm and Hybrid Kernel Extreme Learning Machine. [PDF]

Entropy (Basel)
Shen Y, Li D, Wang W.
europepmc   +1 more source

Investigating a hybrid extreme learning machine coupled with Dingo Optimization Algorithm for modeling liquefaction triggering in sand-silt mixtures. [PDF]

Sci Rep
Hameed MM, Masood A, Srivastava A, Abd Rahman N, Mohd Razali SF, Salem A, Elbeltagi A.   +6 more
europepmc   +1 more source

Swarm intelligence-based Multi-Layer Kernel Meta Extreme Learning Machine for tidal current to power prediction

Emrah Dokur, Nuh Erdoğan, Uğur Yüzgeç   +2 more
openalex   +1 more source