Predictions of the Key Operating Parameters in Waste Incineration Using Big Data and a Multiverse Optimizer Deep Learning Model
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- En-Chih Chang & Chun-An Cheng & Lung-Sheng Yang, 2019. "Nonsingular Terminal Sliding Mode Control Based on Binary Particle Swarm Optimization for DC–AC Converters," Energies, MDPI, vol. 12(11), pages 1-14, June.
- Mekalathur B Hemanth Kumar & Saravanan Balasubramaniyan & Sanjeevikumar Padmanaban & Jens Bo Holm-Nielsen, 2019. "Wind Energy Potential Assessment by Weibull Parameter Estimation Using Multiverse Optimization Method: A Case Study of Tirumala Region in India," Energies, MDPI, vol. 12(11), pages 1-21, June.
- Agnieszka Starzyk & Kinga Rybak-Niedziółka & Przemysław Łacek & Łukasz Mazur & Anna Stefańska & Małgorzata Kurcjusz & Aleksandra Nowysz, 2023. "Environmental and Architectural Solutions in the Problem of Waste Incineration Plants in Poland: A Comparative Analysis," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
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Keywords
waste incinerator; symbolic transfer entropy; Multi-Verse Optimization; support vector machine;All these keywords.
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