Artificial Intelligence and Sustainable Computing : Proceedings of ICSISCET 2024, Volume 1 / / edited by Manjaree Pandit, M. K. Gaur, Sandeep Kumar

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• Edizione: 1st ed. 2025.
• Descrizione fisica: 1 online resource (XIV, 215 p. 98 illus., 87 illus. in color.)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Electronic circuits; Cooperating objects (Computer systems); Internet of things; Computational Intelligence; Electronic Circuits and Systems; Cyber-Physical Systems; Internet of Things
• Persona (resp. second.): PanditManjaree; GaurM. K; KumarSandeep
• Nota di contenuto: 1. Development of a System-on-Chip (SoC) for Matrix Multiplication utilizing RISC-V and Vector Processor -- 2. A Green-Energy Based ‘Hydroponic Charging System’ to Power Digital Devices -- 3. Optimizing Sentiment Analysis on Clothing Reviews Using a BERT-Based Model and Firefly Algorithm for Hyperparameter Tuning -- 4. Contrast and Feature Enhancement for Underwater Image Enhancement -- 5. Investigating Poisson Process in SVM Kernels for DDoS Attack Detection -- 6. Liver Tumor Segmentation with U-Net, V-Net and AH-Net Using MONAI -- 7. Chatbot Security: Unveiling Vulnerabilities and Crafting Mitigation Strategies -- 8. Evaluating Energy Efficiency and Performance of WSN Routing Protocols: A Comparative Study of LEACH, DEEC, DDEEC, and EESAA -- 9. Network Slicing for Quality of Service (QoS)-aware utili[1]zation of resources in 5G and next-generation networks -- 10. Detection of Rolling Element Bearing Defects using SPWVD-CNN.
• Sommario/riassunto: This book presents high-quality research papers presented at the 6th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2024) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, during October 26–27, 2024. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.
• Titolo autorizzato: Artificial intelligence and sustainable computing
• ISBN: 981-9633-33-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911001787203321
• Lo trovi qui: Univ. Federico II
• Serie: Algorithms for Intelligent Systems, . 2524-7573