Results 141 to 150 of about 602,374 (329)

Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

, 2018
Iftikhar Ahmad, Mohammad Basheri, Muhammad Iqbal, Aneel Rahim   +3 more
openalex   +1 more source

Fiber Bragg Gratings with Micro‐Engineered Temperature Coefficients

Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
Fiber Bragg gratings (FBGs) are intrinsically responsive to temperature and strain simultaneously. In this research, low‐loss FBGs with micro‐engineered temperature coefficients are fabricated, utilizing refractive index liquid‐filled microchannels in the cladding.
Zipei Song, Mohan Wang, Frank P. Payne, Patrick S. Salter, Tongyu Liu, Steve J. Elston, Martin J. Booth, Stephen M. Morris, Julian A. J. Fells   +8 more
wiley   +1 more source

Perbandingan Metode Extreme Learning Machine dan Particle Swarm Optimization Extreme Learning Machine untuk Peramalan Jumlah Penjualan Barang

Majalah Ilmiah Teknologi Elektro, 2016
Extreme Learning Machine (ELM) merupakan salah satu metode pembelajaran dari Artificial Neural Network yang memberikan tingkat akurasi dan kecepatan yang lebih baik dari pada metode pembelajaran lainnya. Salah satu kelemahan dari metode ELM adalah jumlah
Susila Handika, IAD Gririantari, Agus Dharma   +2 more
doaj  

Jointly Optimized Extreme Learning Machine for Short-Term Prediction of Fading Channel

, 2018
Yongbo Sui, Wenxin Yu, Qiwu Luo
openalex   +1 more source

Extreme Minimal Learning Machine

, 2018
peerReviewed
openaire   +3 more sources

Progress and Prospects of Persistent Luminescent Nanocrystals in Biomedical Applications

Advanced Optical Materials, EarlyView.
This review summarizes recent progress in materials‐level control of persistent luminescence, including mechanistic understanding, wavelength/intensity tuning, and activation strategies, as well as emerging biomedical applications in imaging, biosensing, cell tracking, optogenetic stimulation, and biophotochemical activation.
Peng Pei, Luping Wang, Haitong Jing, Xian Qin, Jiong‐Wei Wang, Xiaogang Liu   +5 more
wiley   +1 more source

Photonic extreme learning machine by free-space optical propagation [PDF]

, 2021
Davide Pierangeli, Giulia Marcucci, Claudio Conti   +2 more
openalex   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

Liquid Metal Sensors for Soft Robots

Advanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang, Nan Li, Yujia Song, Chen Hua, Tangzhen Guan, Yibing Ma, Cai Cheng, Jing Liu   +7 more
wiley   +1 more source

Illumination correction of dyed fabric based on extreme learning machine with improved ant lion optimizer

, 2022
Zhiyu Zhou, Haodong Ji, Xingfan Yang
openalex   +2 more sources