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Journal Abstract Search
302 related items for PubMed ID: 36981419
21. Hybrid Feature-Learning-Based PSO-PCA Feature Engineering Approach for Blood Cancer Classification. Atteia G, Alnashwan R, Hassan M. Diagnostics (Basel); 2023 Aug 14; 13(16):. PubMed ID: 37627931 [Abstract] [Full Text] [Related]
23. Enhancing EEG-Based Mental Stress State Recognition Using an Improved Hybrid Feature Selection Algorithm. Hag A, Handayani D, Altalhi M, Pillai T, Mantoro T, Kit MH, Al-Shargie F. Sensors (Basel); 2021 Dec 15; 21(24):. PubMed ID: 34960469 [Abstract] [Full Text] [Related]
24. Temperature drift modeling and compensation of fiber optical gyroscope based on improved support vector machine and particle swarm optimization algorithms. Wang W, Chen X. Appl Opt; 2016 Aug 10; 55(23):6243-50. PubMed ID: 27534465 [Abstract] [Full Text] [Related]
25. Seminal quality prediction using data mining methods. Sahoo AJ, Kumar Y. Technol Health Care; 2014 Aug 10; 22(4):531-45. PubMed ID: 24898862 [Abstract] [Full Text] [Related]
26. Chaotic particle swarm optimization with mutation for classification. Assarzadeh Z, Naghsh-Nilchi AR. J Med Signals Sens; 2015 Aug 10; 5(1):12-20. PubMed ID: 25709937 [Abstract] [Full Text] [Related]
27. A hybrid gene selection method based on gene scoring strategy and improved particle swarm optimization. Han F, Tang D, Sun YW, Cheng Z, Jiang J, Li QW. BMC Bioinformatics; 2019 Jun 10; 20(Suppl 8):289. PubMed ID: 31182017 [Abstract] [Full Text] [Related]
28. An improved predator-prey particle swarm optimization algorithm for Nash equilibrium solution. Meng Y, He J, Luo S, Tao S, Xu J. PLoS One; 2021 Jun 10; 16(11):e0260231. PubMed ID: 34818366 [Abstract] [Full Text] [Related]
29. Rolling Bearing Fault Diagnosis Based on Support Vector Machine Optimized by Improved Grey Wolf Algorithm. Shen W, Xiao M, Wang Z, Song X. Sensors (Basel); 2023 Jul 24; 23(14):. PubMed ID: 37514940 [Abstract] [Full Text] [Related]
30. Research on Key Algorithms of the Lung CAD System Based on Cascade Feature and Hybrid Swarm Intelligence Optimization for MKL-SVM. Chang J, Li Y, Zheng H. Comput Intell Neurosci; 2021 Jul 24; 2021():5491017. PubMed ID: 34527040 [Abstract] [Full Text] [Related]
36. Application of the PSO-SVM model for recognition of control chart patterns. Ranaee V, Ebrahimzadeh A, Ghaderi R. ISA Trans; 2010 Oct 24; 49(4):577-86. PubMed ID: 20663504 [Abstract] [Full Text] [Related]
37. Feature Selection Based on Adaptive Particle Swarm Optimization with Leadership Learning. Ye Z, Xu Y, He Q, Wang M, Bai W, Xiao H. Comput Intell Neurosci; 2022 Oct 24; 2022():1825341. PubMed ID: 36072739 [Abstract] [Full Text] [Related]
38. Comparison of support vector machines based on particle swarm optimization and genetic algorithm in sleep staging. Geng D, Zhao J, Dong J, Jiang X. Technol Health Care; 2019 Oct 24; 27(S1):143-151. PubMed ID: 31045534 [Abstract] [Full Text] [Related]
39. Feature Selection and Parameters Optimization of Support Vector Machines Based on Hybrid Glowworm Swarm Optimization for Classification of Diabetic Retinopathy. Karthikeyan R, Alli P. J Med Syst; 2018 Sep 12; 42(10):195. PubMed ID: 30209620 [Abstract] [Full Text] [Related]
40. Improving Classification of Cancer and Mining Biomarkers from Gene Expression Profiles Using Hybrid Optimization Algorithms and Fuzzy Support Vector Machine. Moteghaed NY, Maghooli K, Garshasbi M. J Med Signals Sens; 2018 Sep 12; 8(1):1-11. PubMed ID: 29535919 [Abstract] [Full Text] [Related] Page: [Previous] [Next] [New Search]