Computing and Machine Learning : Proceedings of CML 2024, Volume 2 / / edited by Jagdish Chand Bansal, Samarjeet Borah, Shahid Hussain, Said Salhi

• Record Nr.: UNINA9910983339903321
• Autore: Bansal Jagdish Chand
• Pubbl/distr/stampa: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
• ISBN: 9789819778393; 9819778395
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (616 pages)
• Collana: Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1144
• Altri autori (Persone): BorahSamarjeet; HussainShahid; SalhiSaid
• Disciplina: 004
• Soggetti: Computational intelligence; Artificial intelligence; Image processing - Digital techniques; Computer vision; Natural language processing (Computer science); Computational Intelligence; Artificial Intelligence; Computer Imaging, Vision, Pattern Recognition and Graphics; Natural Language Processing (NLP)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Author-Centric Pattern Detection in Scopus Citation Network via Community Structures -- K-Nearest Neighbor Based Friends Suggestion on Social Media -- Software Reliability Prediction and Regression Analysis with Family of Lindley -- Distribution -- Reinventing Urban Mobility with Reinforcement Learning in Vehicular Ad-Hoc Networks -- Refining the Giants: A Comprehensive Review of Fine-Tuning Strategies for Large Language Models.
• Sommario/riassunto: This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2024), organized by Department of Computer Applications, Sikkim ; Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India, during April 29 – 30, 2024. The volume book presents diverse range of topics, including machine learning algorithms and models, deep learning and neural networks, computer vision and image processing, natural language processing, robotics and automation, reinforcement learning, big data analytics, cloud computing, internet of things, human-–robot interaction, ethical and social implications of AI, applications in health care, finance, and industry, computer modeling, quantum computing, high-performance computing, cognitive and parallel computing, cloud computing, distributed computing, embedded computing, human-centered computing, and mobile computing.