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TS-PIELM: Time-Stepping Physics-Informed Extreme Learning Machine Facilitates Soil Consolidation Analyses

• Authors : Yang, He; Ren, Fei; Yu, Hai-Sui

Subjects: Physics - Geophysics; Computer Science - Machine Learning

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Widely Linear Augmented Extreme Learning Machine Based Impairments Compensation for Satellite Communications

• Authors : Luo, Yang; Jayaprakash, Arunprakash; Chen, Gaojie

Subjects: Signal Processing

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On-board Sonar Data Classification for Path Following in Underwater Vehicles using Fast Interval Type-2 Fuzzy Extreme Learning Machine

• Authors : Rubio-Solis, Adrian; Nava-Balanzar, Luciano; Salgado-Jimenez, Tomas

Subjects: Robotics; Artificial Intelligence; Machine Learning

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Fast Learning in Quantitative Finance with Extreme Learning Machine

• Authors : Cheng, Liexin; Cheng, Xue; Liu, Shuaiqiang

Subjects: Quantitative Finance - Computational Finance

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A combined improved dung beetle optimization and extreme learning machine framework for precise SOC estimation.

• Authors : Yao, Kaihua^1,2,3 (AUTHOR); Yan, Xinyu^1,2,3 (AUTHOR) ; Mao, Xiling^1,2,3 (AUTHOR)

• Source: Scientific Reports. 5/20/2025, Vol. 15 Issue 1, p1-15. 15p.

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Cloud Computing Energy Consumption Prediction Based on Kernel Extreme Learning Machine Algorithm Improved by Vector Weighted Average Algorithm

• Authors : Wang, Yuqing; Yang, Xiao

Subjects: Computer Science - Machine Learning; Computer Science - Performance

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Exploring Tensor Network Algorithms as a Quantum-Inspired Method for Quantum Extreme Learning Machine

• Authors : Solanki, Payal D.; Pham, Anh

Subjects: Quantum Physics

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Limits of nonlinear and dispersive fiber propagation for an optical fiber-based extreme learning machine

• Authors : Ermolaev, Andrei V.; Hary, Mathilde; Leybov, Lev

Subjects: Physics - Optics; Computer Science - Machine Learning

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Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine

• Authors : FU Qiang; HU Dong; YANG Tongliang

Subjects: Compressed sensing; Bearing; Kernel function

• Source: Jixie qiangdu, Vol 47, Pp 48-56 (2025)

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A Scalable Hybrid Autoencoder–Extreme Learning Machine Framework for Adaptive Intrusion Detection in High-Dimensional Networks.

• Authors : Kumar, Anubhav¹ (AUTHOR); Radhakrishnan, Rajamani^1,2 (AUTHOR); Sumithra, Mani^2,3 (AUTHOR)

• Source: Future Internet. May2025, Vol. 17 Issue 5, p221. 18p.

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