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Applied Science & Technology Full Text (H.W. Wilson)

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EEG signal classification using improved intuitionistic fuzzy twin support vector machines.

• Authors : Ganaie, M. A. (AUTHOR); Kumari, Anuradha (AUTHOR); Malik, A. K. (AUTHOR)

Subjects: SIGNAL classification; SUPPORT vector machines; ELECTROENCEPHALOGRAPHY

• Source: Neural Computing & Applications. Jan2024, Vol. 36 Issue 1, p163-179. 17p.

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Enhancing microalgae classification accuracy in marine ecosystems through convolutional neural networks and support vector machines.

• Authors : Sonmez ME; Department of Bioengineering, Faculty of Engineering, Karamanoglu Mehmetbey University, Karaman, Türkiye.; Gumus NE

Subjects: Microalgae* ; Support Vector Machine* ; Neural Networks, Computer*

• Source: Marine pollution bulletin [Mar Pollut Bull] 2024 Aug; Vol. 205, pp. 116616. Date of Electronic Publication: 2024 Jun 26.Publisher: Elsevier Country of Publication: England NLM ID: 0260231 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3363

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Multimodality quantitative ultrasound envelope statistics imaging based support vector machines for characterizing tissue scatterer distribution patterns: Methods and application in detecting microwave-induced thermal lesions.

• Authors : Li S; Department of Biomedical Engineering, College of Chemistry and Life Sciences, Beijing University of Technology, Beijing, China.; Tsui PH

Subjects: Microwaves* ; Support Vector Machine* ; Ultrasonography*/Ultrasonography*/Ultrasonography*/methods

• Source: Ultrasonics sonochemistry [Ultrason Sonochem] 2024 Jul; Vol. 107, pp. 106910. Date of Electronic Publication: 2024 May 17.Publisher: Elsevier Science Country of Publication: Netherlands NLM ID: 9433356 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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A novel bounded loss framework for support vector machines.

• Authors : Li F; College of Mathematics and Statistics, Chongqing University, Chongqing, 401331, China. Electronic address: .; Yang H

Subjects: Support Vector Machine* ; Algorithms*; Neural Networks, Computer

• Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2024 Oct; Vol. 178, pp. 106476. Date of Electronic Publication: 2024 Jun 25.Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Utilizing support vector machines to foster sustainable development and innovation in the clean energy sector via green finance.

• Authors : Wang W; School of Information Technology, Deakin University, Geelong, VIC, 3216, Australia. Electronic address: .; Huang H

Subjects: Support Vector Machine* ; Sustainable Development* ; Wind*

• Source: Journal of environmental management [J Environ Manage] 2024 Jun; Vol. 360, pp. 121225. Date of Electronic Publication: 2024 May 25.Publisher: Academic Press Country of Publication: England NLM ID: 0401664 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Characterization of clinical data for patient stratification in moderate osteoarthritis with support vector machines, regulatory network models, and verification against osteoarthritis Initiative data.

• Authors : Segarra-Queralt M; BCN MedTech, Department of Engineering, Universitat Pompeu Fabra, 08018, Barcelona, Spain.; Galofré M

Subjects: Osteoarthritis, Knee*/Osteoarthritis, Knee*/Osteoarthritis, Knee*/diagnosis ; Osteoarthritis, Knee*/Osteoarthritis, Knee*/Osteoarthritis, Knee*/metabolism ; Support Vector Machine*

• Source: Scientific reports [Sci Rep] 2024 May 23; Vol. 14 (1), pp. 11797. Date of Electronic Publication: 2024 May 23.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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