Proceedings of International Conference on Computational Intelligence
ICCI 2022
(Sprache: Englisch)
The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2022) held at Indian Institute of Information Technology Pune, India during 29 - 30 December, 2022. The topics covered are artificial...
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The book presents high quality research papers presented at International Conference on Computational Intelligence (ICCI 2022) held at Indian Institute of Information Technology Pune, India during 29 - 30 December, 2022. 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.
Inhaltsverzeichnis zu „Proceedings of International Conference on Computational Intelligence “
Entropy measure for the linguistic intuitionistic fuzzy set.- Principal component analysis and correlation coefficient-based decision-making approach for stock portfolio selection.- Determination of Thickness and Refractive Indices of Thin-Films from Reflectivity Spectrum using Rao-1 Optimization Algorithm.- Deep Sea Debris Detection using YOLOIncep Network.- Precipitation Forecasting: LSTM Modelling in Visual Analytic Frame work.- Cyclone Forecasting Before Eye Formation Using Deep-Learning.- Efficient Approach for Malware Detection Using Machine Learning Classifier.- Distances from Fuzzy Implications.- Real Time quick Fog removal Technique for supporting vehicles on hilly routes amid dense fog.- Deep learning based approach for outlier detection in wireless sensor network.- Predicting Kidney Tumor Using Convolutional Neural Network (CNN).- Comparative Analysis of Cognitive Services in popular cloud platforms.- A Survey on Efficient Neural Network Compression Techniques.- Implementation of Reliable Post-Disaster Relief.- Communication Network Using Hybrid Secure Routing Protocol.- Compact Metamaterial Octagonal Antenna for Wireless Body Area Network.- A survey on different techniques for Anomaly detection.- A Scholastic Comprehensive study on 6G Wireless Communication System.- A Modified LSB Steganography Algorithm to Store Images of Large Size.
Autoren-Porträt
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 working as anAssociate 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 of emergent computation in bio-informatics, bio-physics, interdisciplinary
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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, Universityof 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. Mukesh Saraswat: Dr. Mukesh Saraswat is an Associate Professor at Jaypee Institute of Information Technology, Noida, India. Dr. Saraswat obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 19 years of teaching and research experience. He has guided 03 Ph.D. students and presently guiding 04 Ph.D. students. He has published more than 70 journal and conference papers in the area of image processing, pattern recognition, data mining, and soft computing. He was part of a successfully completed project funded by SERB, New Delhi on image analysis and currently running one project funded by CRS, RTU, Kota. He has been an active member of many organizing committees for various conferences and
Dr. Mukesh Saraswat: Dr. Mukesh Saraswat is an Associate Professor at Jaypee Institute of Information Technology, Noida, India. Dr. Saraswat obtained his Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior, India. He has more than 19 years of teaching and research experience. He has guided 03 Ph.D. students and presently guiding 04 Ph.D. students. He has published more than 70 journal and conference papers in the area of image processing, pattern recognition, data mining, and soft computing. He was part of a successfully completed project funded by SERB, New Delhi on image analysis and currently running one project funded by CRS, RTU, Kota. He has been an active member of many organizing committees for various conferences and
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Bibliographische Angaben
- 2023, 1st ed. 2023, XII, 408 Seiten, 114 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Herausgegeben: Ritu Tiwari, Mario F. Pavone, Mukesh Saraswat
- Verlag: Springer, Berlin
- ISBN-10: 9819928532
- ISBN-13: 9789819928538
Sprache:
Englisch
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