Computing and Machine Learning (Paperback)
Idioma: inglés
Editorial: Springer Verlag, Singapore, Singapore, 2026
- Tapa blanda
- Nuevo
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Vendedor de IberLibro desde 22 de junio de 2007
Condición: Nuevo
EUR 376,15
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Paperback. This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2025), organized by the Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India, during March 2223, 2025. 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, humanrobot 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…
N° de ref. del artículo 9789819528776
- Título
- Computing and Machine Learning (Paperback)
- Autor
- Jagdish Chand Bansal
- Editorial
- Springer Verlag, Singapore, Singapore
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 9819528771
- ISBN 13
- 9789819528776
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Acerca del autor
Dr. Jagdish Chand Bansal is Associate Professor (Senior Grade) at South Asian University New Delhi and Visiting Professor at maths and computer science, Liverpool Hope University UK. He also holds Visiting Professorship at NIT Goa, India. Dr. Bansal obtained his Ph.D. in mathematics from IIT Roorkee. Before joining SAU New Delhi, he worked as Assistant Professor at ABV--Indian Institute of Information Technology and Management Gwalior and BITS Pilani. His primary areas of interest are swarm intelligence and nature-inspired optimization techniques. Recently, he proposed a fission-fusion social structure-based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems in the engineering domain. He has published over 70 research papers in various international journals/conferences. He is Section Editor (Editor-in-Chief) of the journal MethodsX published by Elsevier. He is Series Editor of the four Springer book series AIS, SADIC, ISTC, and SST published by Springer.
Dr. Samarjeet Borah is currently working as Professor and Head in the Department of Computer Applications, SMIT, Sikkim Manipal University (SMU), Sikkim, India. Dr. Borah has carried out various funded projects from AICTE (GoI), DST-CSRI (GoI), etc. He has published around 90 research papers in various journals and conferences. He has organized various workshops and conferences in national and international level. Dr. Borah is involved with various book volumes and journals of repute from Springer, IEEE, Inderscience, and IGI Global as Editor or Guest Editor. He is Editor-in-Chief of the book and proceedings series--Research Notes on Computing and Communication Sciences, Apple Academic Press, USA. Dr. Borah has served as Keynote as well as Invited Speakers in several international conferences. His areas of research are data mining, information security, data science, and machine learning.
Dr. Shahid Hussain is working at University of Canberra as Associate Professor of biomedical robotics. Prior to that he has worked as Lecturer at University of Wollongong, Australia. Dr. Hussain has obtained his Ph.D. in mechanical engineering from the University of Auckland, New Zealand, in 2013. His research interests include assistive and rehabilitation robotics, compliant actuation of robots, robot mechanism design and optimization, nonlinear dynamics and control of robotic systems, human-robot interaction, biomechanical modeling, engineering education, and micro electro-mechanical systems (MEMS). Dr. Hussain has published more than 65 papers in the prestigious journals of the field.
Prof. Said Salhi has been Emeritus Professor in Operational Research/Management Science at the Kent Business School (UK) since January 2021. Prior to his appointment as Full Professor to Kent in 2005, he was at the University of Birmingham in the School of Mathematics for 15 years (Lecturer, Senior Lecturer, and Reader), and in his later three years, he acted as Head of the Management Mathematics Group. In Kent, he was also Head of the Management Science Group for over 8 years (2008-May 2017), Founder and Designer of the M.Sc. in logistics and supply chain management, and Founder of the Centre of Logistics and Heuristic Optimisation (CLHO) in 2008 which he was Director till January 2021. He obtained his B.Sc. in mathematics with major in operational research and statistics (University of Science and Technology, Algiers), M.Sc. in operational research (Institute of Mathematics, Southampton), and Ph.D. in operational research (School of Management, Lancaster).
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