Power Engineering and Intelligent Systems : Proceedings of PEIS 2025, Volume 1 / / edited by Vivek Shrivastava, Jagdish Chand Bansal, Bijaya Ketan Panigrahi

• Autore: Shrivastava Vivek
• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (792 pages)
• Disciplina: 621.381044
• Soggetto topico: Power electronics; Electric machinery; Artificial intelligence; Power Electronics; Electrical Machines; Artificial Intelligence
• Nota di contenuto: 1. Prediction and Visualization of trends in Stock Prices -- 2. Enhancing accuracy in Autism Spectrum Disorder Prediction Through Advanced Feature Selection and ML -- 3. Movie Recommendation System Using Hybrid Mode Filtering Techniques -- 4. Multi Scale Image Decomposition Approach with Improved Filtering Techniques -- 5. Exploring Different Deep Learning Models in Multimodal Biometric Systems -- 6. Statistical Feature Extraction on High Dimensional Data -- 7. Modern approaches to kidney stone detection using Machine Learning -- 8. AI-Driven Optimization of Battery Management Systems Using ANN Algorithm.
• Sommario/riassunto: This book presents a collection of the high-quality research articles in the field of power engineering, grid integration, energy management, soft computing, artificial intelligence, signal and image processing, data science techniques, and their real-world applications. This book is presented at International Conference on Power Engineering and Intelligent Systems (PEIS 2025), held during March 8–9, 2025, at National Institute of Technology Srinagar, Uttarakhand, India. This book is presented in two volumes.
• Titolo autorizzato: Power Engineering and Intelligent Systems
• ISBN: 981-9697-16-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911061855703321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Electrical Engineering, . 1876-1119 ; ; 1459