Energy-Efficient Algorithms and Systems in Computing : Optimizing Performance and Sustainability Through Advanced Computational Methods / / edited by Hicham Gibet Tani, Mohamed Kouissi, Mohamed Ben Ahmed, Boudhir Anouar Abdelhakim, Lotfi Elaachak

• Autore: Gibet Tani Hicham
• Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• Edizione: 1st ed. 2026.
• Descrizione fisica: 1 online resource (0 pages)
• Disciplina: 620.00285
• Soggetto topico: Engineering - Data processing; Electric power distribution; Data Engineering; Energy Grids and Networks
• Altri autori: KouissiMohamed Ben AhmedMohamed AbdelhakimBoudhir Anouar ElaachakLotfi
• Nota di contenuto: Integrating Blockchain into sustainable smart city services: Motivations and challenges -- A Fuzzy Logic-Based Approach For Real-Time Fault Detection In Photovoltaic Systems -- Energy-Efficient COPD Detection Using an Optimized Deep Learning Model for Medical Systems.
• Sommario/riassunto: This book delivers cutting-edge research focused on reducing energy consumption across computing systems while maintaining performance and scalability. It presents novel methods and architectures that advance the field of sustainable and green technologies. Contributions span topics such as low-power algorithms, green cloud infrastructures, energy-aware IoT systems, and intelligent optimization techniques. Selected from the best papers of SCGT’2025, each chapter offers deep technical insights and practical applications. Aimed at researchers, engineers, and system designers, this book is a valuable resource for building environmentally sustainable computing infrastructures.
• Titolo autorizzato: Energy-Efficient Algorithms and Systems in Computing
• ISBN: 9783032041142; 9783032041135
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911047814603321
• Lo trovi qui: Univ. Federico II
• Serie: Studies in Systems, Decision and Control, . 2198-4190 ; ; 629