Power Engineering and Intelligent Systems : Proceedings of PEIS 2025, Volume 2 / / 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 (834 pages)
• Disciplina: 621.381044
• Soggetto topico: Power electronics; Electric machinery; Artificial intelligence; Power Electronics; Electrical Machines; Artificial Intelligence
• Altri autori: Shrivastava
• Nota di contenuto: 1. A Rule-Based Fuzzy Model for the Classification of Stakeholders of an Information System -- 2. Deep Fake Detection using Xception and Temporal Convolutional Networks -- 3. A Goal-Oriented Methodology for Eliciting the Requirements of an Information System -- 4. Advancements and Analysis of Machine Learning Techniques for Lung Cancer Detection -- 5. Prediction of Parkinson’s Disease using Ensemble Learning -- 6. Dental Cavity Detection using Instance Segmentation and Object Detection -- 7. Early Caries Detection using CNN Based Models -- 8. Interactive Gaming Therapy for Children with Cerebral Palsy.
• 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: 981-9697-20-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911054609303321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Electrical Engineering, . 1876-1119 ; ; 1460