Druck auf Anfrage Neuware - Printed after ordering - The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2021) held online during 27-28 December, 2021. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning. metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.

N� de ref. del art�culo 9789811921254

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Detalles bibliogr�ficos

T�tulo: Proceedings of International Conference on Computational Intelligence : ICCI 2021
Editor: Springer, Palgrave Macmillan
Fecha de publicaci�n: 2022
Idioma: Ingl�s
ISBN 10: 9811921253
ISBN 13: 9789811921254
Encuadernaci�n: Buch
Estado: Neu
Dimensiones: 241�mil�metros de ancho por 160 de alto por 31 de largo
Peso: 988 gramos

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Sinopsis

The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2021) held online during 27–28 December, 2021. The topics covered are artificial intelligence, neural network, deep learning techniques, fuzzy theory and systems, rough sets, self-organizing maps, machine learning, chaotic systems, multi-agent systems, computational optimization ensemble classifiers, reinforcement learning, decision trees, support vector machines, hybrid learning, statistical learning. metaheuristics algorithms: evolutionary and swarm-based algorithms like genetic algorithms, genetic programming, differential evolution, particle swarm optimization, whale optimization, spider monkey optimization, firefly algorithm, memetic algorithms. And also machine vision, Internet of Things, image processing, image segmentation, data clustering, sentiment analysis, big data, computer networks, signal processing, supply chain management, web and text mining, distributed systems, bioinformatics, embedded systems, expert system, forecasting, pattern recognition, planning and scheduling, time series analysis, human-computer interaction, web mining, natural language processing, multimedia systems, and quantum computing.

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Prof. Ritu Tiwari: Dr. Ritu Tiwari is currently working as a Professor in Department of Computer Science and Engineering at Indian Institute of Information Technology (IIIT) Pune. Before joining IIIT Pune, she was Associate Professor in Department of Information and Communication Technology at ABV- Indian Institute of Information Technology and Management (IIITM) Gwalior. She has 12 years of teaching and research experience. Her field of research includes Robotics, Artificial Intelligence, Soft Computing and Applications. She has published 05 books and more than 80 research papers in various national and international journals/conferences and is the reviewer for many international journals/conferences. Dr. Tiwari has received Young Scientist Award from Chhattisgarh Council of Science & Technology in the year 2006. She also received Gold Medal in her Post Graduation from NIT Raipur.

Dr. Mario F. Pavone: Prof. Mario F. Pavone is currently workingas an Associate Professor in Computer Science at the Department of Mathematics and Computer Science, University of Catania, Italy. Prof. Pavone is focused on the design and development of Meta heuristics applied in several research areas, such as in Combinatorial Optimization; Computational Biology; Network Sciences and Social Networks. Prof. Pavone was visiting professor with fellowship at the Faculty of Sciences, University of Angers, France in 2016. From August 2017, Prof. Pavone is a member of the IEEE Task Force on the Ethical and Social Implications of Computational Intelligence, for the IEEE Computational Intelligence Society (IEEE CIS). Since February 2015, Prof. Pavone is the Vice-Chair of the Task Force on Interdisciplinary Emergent Technologies for the IEEE Computational Intelligence Society (Emergent Technologies Technical Committee - ETTC), whose main aim is to promote the interdisciplinary study ofemergent computation in bio-informatics, bio-physics, interdisciplinary domains of economy, medicine, and industry. Prof. Pavone also served as the Chair of the Task Force on Artificial Immune Systems for the IEEE Computational Intelligence Society (IEEE CIS). Prof. Pavone is a member of several Editorial Boards for international journals, as well as member of many Program Committees in international conferences and workshops. Prof. Pavone has also an extensive experience of organizing successful workshops, symposium, conferences and summer schools. Prof. Pavone was also Invited Speaker for several international conferences, and Editor of many special issues in: Artificial Life, Engineering Applications of Artificial Intelligence (EAAI), Applied Soft Computing (ASOC), BMC Immunology, Natural Computing, and Memetic Computing. Etc. Prof. Pavone is the co-founder of Tao Science Research center, and the Scientific Director of ANTs Lab - Advanced New Technologies research laboratory. Prof. Pavone was visiting professor at the School of Computer Science, University of Nottingham, UK and a visiting researcher at the IBM-KAIST Bio-Computing Research Center, Department of Bio and Brain Engineering, at the Korea Advanced Institute of Science and Technology (KAIST) in 2009 and 2006, respectively.

Dr. Ranjith Ravindranathan Nair is working as an Assistant Professor in the Department of Electronics and Communication Engineering, Indian Institute of Information Technology (IIIT) Pune. Dr. Nair received his Ph. D in control and automation from the Department of Electrical Engineering, Indian Institute of Technology Kanpur in 2017. After completing his PhD, he was working as a postdoctoral fellow in Intelligent Systems and Control Lab at IIT Kanpur itself, in the project funded by Abu Dhabi National Oil Corporation, Gas Research Centre. As a part of the PhD programme, Dr. Nair was involvedin research projects sponsored by ISRO and Department of Electronics & Information Technology, Govt. of India. Prior to joining for Ph. D programme, he was working with Larsen & Tubro InfoTech Ltd Chennai. Dr. Nair has many publications to his credit in IEEE Journals and Tier-I IEEE international conferences in Control Sciences. He has published a book titled “Intelligent Control of Robotic Systems”, Taylor and Francis Pub., CRC Press, which has received the award for Best Book in reference category for Engineering at the Book and Digital Product Awards 2020 organized by the Taylor & Francis Group. Dr. Nair has also received Best Paper Award in ACODS 2012, International Conference held at IISC, Bangalore in Feb 2012. He is serving as Associate Editor for IEEE RO MAN from 2019-2021. His primary research interests include Multi-Robotic systems, Cyber-Physical systems, Non-linear control systems, Multi-Agent systems and Intelligent Control.

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