133 related articles for article (PubMed ID: 36253422)
21. Stationary Wavelet-Fourier Entropy and Kernel Extreme Learning for Bearing Multi-Fault Diagnosis.
Rodriguez N; Barba L; Alvarez P; Cabrera-Guerrero G
Entropy (Basel); 2019 May; 21(6):. PubMed ID: 33267254
[TBL] [Abstract][Full Text] [Related]
22. Study on Temperature and Synthetic Compensation of Piezo-Resistive Differential Pressure Sensors by Coupled Simulated Annealing and Simplex Optimized Kernel Extreme Learning Machine.
Li J; Hu G; Zhou Y; Zou C; Peng W; Alam Sm J
Sensors (Basel); 2017 Apr; 17(4):. PubMed ID: 28422080
[TBL] [Abstract][Full Text] [Related]
23. A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach.
Jian Y; Huang D; Yan J; Lu K; Huang Y; Wen T; Zeng T; Zhong S; Xie Q
Sensors (Basel); 2017 Jun; 17(6):. PubMed ID: 28629202
[TBL] [Abstract][Full Text] [Related]
24. Applicability of hybrid bionic optimization models with kernel-based extreme learning machine algorithm for predicting daily reference evapotranspiration: a case study in arid and semiarid regions, China.
Zhao L; Zhao X; Li Y; Shi Y; Zhou H; Li X; Wang X; Xing X
Environ Sci Pollut Res Int; 2023 Feb; 30(9):22396-22412. PubMed ID: 36289123
[TBL] [Abstract][Full Text] [Related]
25. A Hybrid Short-Term Traffic Flow Prediction Model Based on Singular Spectrum Analysis and Kernel Extreme Learning Machine.
Shang Q; Lin C; Yang Z; Bing Q; Zhou X
PLoS One; 2016; 11(8):e0161259. PubMed ID: 27551829
[TBL] [Abstract][Full Text] [Related]
26. Mixture Correntropy-Based Kernel Extreme Learning Machines.
Zheng Y; Chen B; Wang S; Wang W; Qin W
IEEE Trans Neural Netw Learn Syst; 2022 Feb; 33(2):811-825. PubMed ID: 33079685
[TBL] [Abstract][Full Text] [Related]
27. KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides.
Pandey P; Patel V; George NV; Mallajosyula SS
J Proteome Res; 2018 Sep; 17(9):3214-3222. PubMed ID: 30032609
[TBL] [Abstract][Full Text] [Related]
28. An optimized KELM approach for the diagnosis of
Mohanty F; Dora C
Optik (Stuttg); 2021 Oct; 244():167572. PubMed ID: 34248209
[TBL] [Abstract][Full Text] [Related]
29. Crude oil prices and volatility prediction by a hybrid model based on kernel extreme learning machine.
Niu H; Zhao Y
Math Biosci Eng; 2021 Sep; 18(6):8096-8122. PubMed ID: 34814291
[TBL] [Abstract][Full Text] [Related]
30. An optimized machine learning framework for predicting intradialytic hypotension using indexes of chronic kidney disease-mineral and bone disorders.
Yang X; Zhao D; Yu F; Heidari AA; Bano Y; Ibrohimov A; Liu Y; Cai Z; Chen H; Chen X
Comput Biol Med; 2022 Jun; 145():105510. PubMed ID: 35585728
[TBL] [Abstract][Full Text] [Related]
31. An optimized machine learning method for predicting wogonin therapy for the treatment of pulmonary hypertension.
Li Y; Fu Y; Liu Y; Zhao D; Liu L; Bourouis S; Algarni AD; Zhong C; Wu P
Comput Biol Med; 2023 Sep; 164():107293. PubMed ID: 37591162
[TBL] [Abstract][Full Text] [Related]
32. Applying Deep Learning-Based Human Motion Recognition System in Sports Competition.
Zhang L
Front Neurorobot; 2022; 16():860981. PubMed ID: 35669937
[TBL] [Abstract][Full Text] [Related]
33. Chaotic simulated annealing multi-verse optimization enhanced kernel extreme learning machine for medical diagnosis.
Liu J; Wei J; Heidari AA; Kuang F; Zhang S; Gui W; Chen H; Pan Z
Comput Biol Med; 2022 May; 144():105356. PubMed ID: 35299042
[TBL] [Abstract][Full Text] [Related]
34. Hybrid artificial fish particle swarm optimizer and kernel extreme learning machine for type-II diabetes predictive model.
Kanimozhi N; Singaravel G
Med Biol Eng Comput; 2021 Apr; 59(4):841-867. PubMed ID: 33738640
[TBL] [Abstract][Full Text] [Related]
35. Analysis of the performance, emission and combustion characteristics of a turbocharged diesel engine fuelled with Jatropha curcas biodiesel-diesel blends using kernel-based extreme learning machine.
Silitonga AS; Hassan MH; Ong HC; Kusumo F
Environ Sci Pollut Res Int; 2017 Nov; 24(32):25383-25405. PubMed ID: 28932948
[TBL] [Abstract][Full Text] [Related]
36. An Enhanced Grey Wolf Optimization Based Feature Selection Wrapped Kernel Extreme Learning Machine for Medical Diagnosis.
Li Q; Chen H; Huang H; Zhao X; Cai Z; Tong C; Liu W; Tian X
Comput Math Methods Med; 2017; 2017():9512741. PubMed ID: 28246543
[TBL] [Abstract][Full Text] [Related]
37. An evolutionary machine learning for pulmonary hypertension animal model from arterial blood gas analysis.
Shi B; Zhou T; Lv S; Wang M; Chen S; Heidari AA; Huang X; Chen H; Wang L; Wu P
Comput Biol Med; 2022 Jul; 146():105529. PubMed ID: 35594682
[TBL] [Abstract][Full Text] [Related]
38. A new machine learning model for predicting severity prognosis in patients with pulmonary embolism: Study protocol from Wenzhou, China.
Su H; Shou Y; Fu Y; Zhao D; Heidari AA; Han Z; Wu P; Chen H; Chen Y
Front Neuroinform; 2022; 16():1052868. PubMed ID: 36590908
[TBL] [Abstract][Full Text] [Related]
39. An Online Calibration Method for a Galvanometric System Based on Wavelet Kernel ELM.
Zhang W; Guo W; Zhang C; Zhao S
Sensors (Basel); 2019 Mar; 19(6):. PubMed ID: 30889895
[TBL] [Abstract][Full Text] [Related]
40. Boosted machine learning model for predicting intradialytic hypotension using serum biomarkers of nutrition.
Yang X; Zhao D; Yu F; Heidari AA; Bano Y; Ibrohimov A; Liu Y; Cai Z; Chen H; Chen X
Comput Biol Med; 2022 Aug; 147():105752. PubMed ID: 35803079
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
