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portada Computing and Machine Learning. Proceedings of CML 2024, Volume 3
Formato
Libro Físico
Colección
Lecture Notes in Networks and Systems
Año
2024
N° páginas
483
Encuadernación
Tapa Blanda
Dimensiones
23.5x15.5 cm
ISBN13
9789819775484

Computing and Machine Learning. Proceedings of CML 2024, Volume 3

Jagdish Chand Bansal;Shahid Hussain;Samarjeet Borah;Said Salhi (Autor) · Springer Nature · Tapa Blanda

Computing and Machine Learning. Proceedings of CML 2024, Volume 3 - Jagdish Chand Bansal;Shahid Hussain;Samarjeet Borah;Said Salhi

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Reseña del libro "Computing and Machine Learning. Proceedings of CML 2024, Volume 3"

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 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 healthcare, 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.

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 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 healthcare, 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.

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