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An Efficient Visual Tracking System Based on Extreme Learning Machine in the Defence and Military Sector.

• Authors : Rathore, Neeraj Kumar¹ ; Pande, Shubhangi²; Purohit, Anuradha²

Subjects: Extreme learning machines; Discrete wavelet transforms; Computer vision

• Source: Defence Science Journal. Sep2024, Vol. 74 Issue 5, p643-650. 8p.

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Unveiling the Impact of Extreme Learning Machine in the Defence and Military Sector.

• Authors : Pande, Shubhangi¹ ; Rathore, Neeraj Kumar²; Purohit, Anuradha¹

Subjects: Artificial neural networks; Machine learning; Pattern recognition systems

• Source: Defence Science Journal. Jul2024, Vol. 74 Issue 4, p517-525. 9p.

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Stock market prediction using hybrid multi-layer decomposition and optimized multi-kernel extreme learning machine.

• Authors : Mallick, P. Kumar¹ ; Panda, A. Ranjan¹ ; Parida, A. Kumar¹

Subjects: Extreme learning machines; Machine learning; Market prices

• Source: Scientia Iranica. Transaction D, Computer Science & Engineering & Electrical Engineering. Sep/Oct2023, Vol. 30 Issue 5, p1625-1644. 20p.

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Parameter Estimation of Unstable Aircraft using Extreme Learning Machine.

• Authors : Verma, Hari Om¹ ; Peyada, N. K.¹

Subjects: Parameter estimation; Artificial neural networks; Equations of motion

• Source: Defence Science Journal. Nov2017, Vol. 67 Issue 6, p603-611. 9p.

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A Real Time Extreme Learning Machine for Software Development Effort Estimation.

• Authors : Pillai, Kanakasabhapathi¹; Jeyakumar, Muthayyan²

• Source: International Arab Journal of Information Technology (IAJIT). Jan2019, Vol. 16 Issue 1, p17-22. 6p.

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Semantic Similarity Measure of Fuzzy XML DTDs With Extreme Learning Machine.

• Authors : ZHEN ZHAO^1,2; ZONG-MIN MA³

Subjects: Semantics; XML (Extensible Markup Language); Fuzzy algorithms

• Source: Journal of Information Science & Engineering. Sep2017, Vol. 33 Issue 5, p1343-1358. 16p.

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An Efficient Extreme Learning Machine Based on Fuzzy Information Granulation.

• Authors : Yuehua Gao¹ ; Tianyi Chen²

Subjects: Machine learning; Fuzzy logic; Granulation

• Source: International Journal of Emerging Technologies in Learning. 2017, Vol. 12 Issue 6, p161-170. 10p. 3 Diagrams, 4 Charts, 4 Graphs.

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Evolutionary Fuzzy Extreme Learning Machine for Mammographic Risk Analysis.

• Authors : Yanpeng Qu^1,2 ; Changjing Shang³ ; Wei Wu⁴

Subjects: Mammograms; Machine learning; Medical sciences

• Source: International Journal of Fuzzy Systems. Dec2011, Vol. 13 Issue 4, p282-291. 10p.

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College English Classroom Teaching Evaluation Based on Particle Swarm Optimization - Extreme Learning Machine Model.

• Authors : Baojian Wang¹ ; Jing Wang¹ ; Guoqiang Hu¹

Subjects: Evaluation of teaching; Particle swarm optimization; English literature education

• Source: International Journal of Emerging Technologies in Learning. 2017, Vol. 12 Issue 5, p82-97. 16p. 1 Diagram, 2 Charts, 5 Graphs.

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A Computer Vision System for the Automatic Identification of Butterfly Species via Gabor- Filter-Based Texture Features and Extreme Learning Machine: GF+ELM.

• Authors : Kaya, Yilmaz¹ (AUTHOR); Kayci, Lokman² (AUTHOR); Tekin, Ramazan³ (AUTHOR)

Subjects: Butterflies; Insect sexing; Gabor transforms

• Source: TEM Journal. Feb2013, Vol. 2 Issue 1, p13-20. 8p. 1 Color Photograph, 3 Diagrams, 3 Charts.

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