{"product_id":"9783032118530","title":"SpringerBriefs in Energy: Decomposition, Entropy, and Machine Learning","description":"\u003ch1\u003eSpringerBriefs in Energy: Decomposition, Entropy, and Machine Learning\u003c\/h1\u003e \u003ch2\u003eZhang, Yuning; Yang, Chenxin; Luo, Peng; Zhang, Heng\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis brief explores advanced signal processing techniques, focusing on signal decomposition, entropy analysis, and machine learning, with applications in energy-related fields such as hydroturbines, wind turbines, and power grids. It provides a detailed overview of methods for signal denoising and pattern recognition, covering techniques like wavelet transform, empirical mode decomposition, permutation entropy, and deep learning models. Through real-world engineering case studies, the book demonstrates how these methods enhance data analysis, improve fault detection, and optimize system performance, making it a valuable resource for researchers, engineers, and students in signal processing and mechanical engineering.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-01-03\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9783032118530\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-032-11854-7\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 83\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44698587365516,"sku":"9783032118530","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032118530.jpg?v=1775785686","url":"https:\/\/lateknightbooks.com\/products\/9783032118530","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}