Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 87

1.

A modular spectrum sensing system based on PSO-SVM.

Cai Z, Zhao H, Yang Z, Mo Y.

Sensors (Basel). 2012 Nov 8;12(11):15292-307. doi: 10.3390/s121115292.

2.

Support vector machine based diagnostic system for breast cancer using swarm intelligence.

Chen HL, Yang B, Wang G, Wang SJ, Liu J, Liu DY.

J Med Syst. 2012 Aug;36(4):2505-19. doi: 10.1007/s10916-011-9723-0. Epub 2011 May 3.

PMID:
21537848
3.

Classification of electrocardiogram signals with support vector machines and particle swarm optimization.

Melgani F, Bazi Y.

IEEE Trans Inf Technol Biomed. 2008 Sep;12(5):667-77. doi: 10.1109/TITB.2008.923147.

PMID:
18779082
4.

A combination of modified particle swarm optimization algorithm and support vector machine for gene selection and tumor classification.

Shen Q, Shi WM, Kong W, Ye BX.

Talanta. 2007 Mar 15;71(4):1679-83. doi: 10.1016/j.talanta.2006.07.047. Epub 2006 Sep 1.

PMID:
19071508
5.
6.

Novel Spectrum Sensing Algorithms for OFDM Cognitive Radio Networks.

Shi Z, Wu Z, Yin Z, Cheng Q.

Sensors (Basel). 2015 Jun 15;15(6):13966-93. doi: 10.3390/s150613966.

7.

Wideband Spectrum Sensing Based on Riemannian Distance for Cognitive Radio Networks.

Lu Q, Yang S, Liu F.

Sensors (Basel). 2017 Mar 23;17(4). pii: E661. doi: 10.3390/s17040661.

8.

[Application of least square support vector machine based on particle swarm optimization in quantitative analysis of gas mixture].

Li YJ, Tang XJ, Liu JH.

Guang Pu Xue Yu Guang Pu Fen Xi. 2010 Mar;30(3):774-8. Chinese.

PMID:
20496707
9.

PSO-based support vector machine with cuckoo search technique for clinical disease diagnoses.

Liu X, Fu H.

ScientificWorldJournal. 2014;2014:548483. doi: 10.1155/2014/548483. Epub 2014 May 25.

10.

SNR Wall Effect Alleviation by Generalized Detector Employed in Cognitive Radio Networks.

Shbat MS, Tuzlukov V.

Sensors (Basel). 2015 Jul 3;15(7):16105-35. doi: 10.3390/s150716105.

11.

Adaptive double threshold energy detection based on Markov model for cognitive radio.

Liu Y, Liang J, Xiao N, Yuan X, Zhang Z, Hu M, Hu Y.

PLoS One. 2017 May 16;12(5):e0177625. doi: 10.1371/journal.pone.0177625. eCollection 2017.

12.

Seminal quality prediction using data mining methods.

Sahoo AJ, Kumar Y.

Technol Health Care. 2014;22(4):531-45. doi: 10.3233/THC-140816.

PMID:
24898862
13.

Classification of EMG signals using PSO optimized SVM for diagnosis of neuromuscular disorders.

Subasi A.

Comput Biol Med. 2013 Jun;43(5):576-86. doi: 10.1016/j.compbiomed.2013.01.020. Epub 2013 Feb 27.

PMID:
23453053
14.

Radial basis function network-based transform for a nonlinear support vector machine as optimized by a particle swarm optimization algorithm with application to QSAR studies.

Tang LJ, Zhou YP, Jiang JH, Zou HY, Wu HL, Shen GL, Yu RQ.

J Chem Inf Model. 2007 Jul-Aug;47(4):1438-45. Epub 2007 Jun 8.

PMID:
17555309
15.
16.

A three-stage expert system based on support vector machines for thyroid disease diagnosis.

Chen HL, Yang B, Wang G, Liu J, Chen YD, Liu DY.

J Med Syst. 2012 Jun;36(3):1953-63. doi: 10.1007/s10916-011-9655-8. Epub 2011 Feb 1.

PMID:
21286792
17.

Application of the PSO-SVM model for recognition of control chart patterns.

Ranaee V, Ebrahimzadeh A, Ghaderi R.

ISA Trans. 2010 Oct;49(4):577-86. doi: 10.1016/j.isatra.2010.06.005.

PMID:
20663504
18.

Optimal design of an in-situ bioremediation system using support vector machine and particle swarm optimization.

ch S, Kumar D, Prasad RK, Mathur S.

J Contam Hydrol. 2013 Aug;151:105-16. doi: 10.1016/j.jconhyd.2013.05.003. Epub 2013 May 26.

PMID:
23771102
19.

Classification of 5-HT(1A) receptor ligands on the basis of their binding affinities by using PSO-Adaboost-SVM.

Cheng Z, Zhang Y, Zhou C, Zhang W, Gao S.

Int J Mol Sci. 2009 Jul 29;10(8):3316-37. doi: 10.3390/ijms10083316.

20.

Support vector machine based on adaptive acceleration particle swarm optimization.

Abdulameer MH, Sheikh Abdullah SN, Othman ZA.

ScientificWorldJournal. 2014 Mar 25;2014:835607. doi: 10.1155/2014/835607. eCollection 2014.

Supplemental Content

Support Center