Results 181 to 190 of about 602,374 (329)

Prediction of Thermomechanical Behavior of Wood-Plastic Composites Using Machine Learning Models: Emphasis on Extreme Learning Machine. [PDF]

Polymers (Basel)
Hua X, Cao Y, Liu B, Yang X, Xu H, Li L, Wu J.   +6 more
europepmc   +1 more source

Voting based double-weighted deterministic extreme learning machine model and its application. [PDF]

Front Neurorobot, 2023
Lu R, Luo L, Liao B.
europepmc   +1 more source

Drowsiness analysis using common spatial pattern and extreme learning machine based on electroencephalogram signal

, 2019
Osmalina Nur Rahma, Akif Rahmatillah
openalex   +1 more source

Fiber Bragg Grating Dynamic Calibration Based on Online Sequential Extreme Learning Machine [PDF]

, 2020
Qiufeng Shang, Wenjie Qin
openalex   +1 more source

Convergent and Divergent Connectivity Patterns of the Arcuate Fasciculus in Macaques and Humans

Advanced Science, EarlyView.
This study employs viral‐based single‐neuron tracing and dMRI‐based whole‐brain tractography to investigate arcuate fasciculus (AF) trajectories in macaque monkeys, and compares with the human AF connectome using spectral embedding. Results demonstrate conserved AF topography spanning temporoparietal‐auditory‐frontal pathways across primates, with ...
Jiahao Huang, Ruifeng Li, Wenwen Yu, Anan Li, Xiangning Li, Mingchao Yan, Lei Xie, Qingrun Zeng, Xueyan Jia, Shuxin Wang, Ronghui Ju, Feng Chen, Qingming Luo, Hui Gong, Andrew Zalesky, Xiaoquan Yang, Yuanjing Feng, Zheng Wang   +17 more
wiley   +1 more source

Coal Air-Dry Basis Sulfur Content Detection Model Based on Hippopotamus Optimization Algorithm and Two Hidden Layer Extreme Learning Machine. [PDF]

ACS Omega
Liu D, Tian J, Zhu Z, Huang J, Xiao D.
europepmc   +1 more source

MIMO Channel Interpolation via Tucker Decomposed Extreme Learning Machine. [PDF]

, 2018
Han Zhang, Bo Ai, Wenjun Xu, Li Xu, Shuguang Cui   +4 more
openalex  

Meta-learning to optimize the number of hidden nodes of MLP networks trained by Extreme Learning Machine algorithm [PDF]

, 2016
Tarcísio Daniel Pontes Lucas, Ricardo B. C. Prudêncio, Teresa B. Ludermir, Carlos Soares   +3 more
openalex   +1 more source

scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing

Advanced Science, EarlyView.
scPER presents an adversarial‐autoencoder framework that deconvolves bulk total RNA‐seq to quantify tumor‐microenvironment cell types and uncover phenotype‐linked subclusters. Across diverse benchmarks, scPER improves accuracy over existing tools.
Bingrui Li, Xiaobo Zhou, Raghu Kalluri
wiley   +1 more source

Electric load forecasting based on kernel extreme learning machine optimized by improved sparrow search algorithm. [PDF]

Sci Rep
Zhang D, Xu Y, Li Y.
europepmc   +1 more source