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Variance-Constrained Local-Global Modeling for Device-Free Localization Under Uncertainties.

, , , and . IEEE Trans. Ind. Informatics, 20 (4): 5229-5240 (April 2024)

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Data and knowledge driven approach for burden surface optimization in blast furnace., , , and . Comput. Electr. Eng., (2021)Class-specific cost regulation extreme learning machine for imbalanced classification., , , , and . Neurocomputing, (2017)Burden Surface Decision Using MODE With TOPSIS in Blast Furnace Ironmkaing., , , , and . IEEE Access, (2020)Variance-Constrained Local-Global Modeling for Device-Free Localization Under Uncertainties., , , and . IEEE Trans. Ind. Informatics, 20 (4): 5229-5240 (April 2024)Non-iterative and Fast Deep Learning: Multilayer Extreme Learning Machines., , , and . J. Frankl. Inst., 357 (13): 8925-8955 (2020)Multilayer probability extreme learning machine for device-free localization., , , , and . Neurocomputing, (2020)A Quantitative View of Short Utterances in Daily Conversation: A Case Study of Thats right, Thats true and Thats correct., , and . PACLIC, page 378-386. The PACLIC 28 Organizing Committee and PACLIC Steering Committee / ACL / Department of Linguistics, Faculty of Arts, Chulalongkorn University, (2014)Data-Driven Multiobjective Optimization for Burden Surface in Blast Furnace With Feedback Compensation., , , , , and . IEEE Trans. Ind. Informatics, 16 (4): 2233-2244 (2020)A Soft Sensing Scheme of Gas Utilization Ratio Prediction for Blast Furnace Via Improved Extreme Learning Machine., , , , and . Neural Processing Letters, 50 (2): 1191-1213 (2019)Robust extreme learning machine for modeling with unknown noise., , , and . J. Frankl. Inst., 357 (14): 9885-9908 (2020)