Overview
- Presents research works in the field of computational intelligence and data analytics
- Results of ICCIDA 2022 held in Hyderabad, India during April 2022
- Serves as a reference for researchers and practitioners in academia and industry
Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 142)
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Keywords
Table of contents (47 papers)
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Computational Intelligence–Machine Learning
Editors and Affiliations
About the editors
Susana Muñoz Hernández obtained Ph.D. in Computer Science from the Technical University of Madrid (UPM), Master in Management of Information Technologies from the Ramón Llull University of Barcelona, and a graduate in International Affairs from the Society of International Studies of Madrid. She won the first prize in a national competition for talented young people organized by the University of La Salle of Madrid in 2003. She has professional experience in some companies (ICT and bank sector) and join research (national and European) projects of recognized prestige in Computational Logic and Artificial Intelligence. She has been working as an Associate Professor at the Computer Science School of the Technical University of Madrid since 1998. She develops her research activity in the BABEL group with more than eighty publications. She received the UPM prize of research in international cooperation for development in 2011. She has been part of the organizing committees of more than 15international conferences.
Dr. K. Ram Mohan Rao received Ph.D in Computer Science and Engineering from Jawaharlal Nehru Technology University (JNTU) in the year 2014 with a Research specialization in Grid Computing. He has more than 25 years of teaching experience in various cadres and currently, he is the Professor and Head of the Information Technology Department, Vasavi College of Engineering, Telangana, Hyderabad, INDIA. He received many prestigious awards from reputed organizations. Dr. Ram Mohan Rao has published and Presented more than 25 research articles in National and International Journals and Conferences. He obtained a grant of Rs 19.31 Lakhs from AICTE under MODROBS and established Deep Learning Lab. As a part of their Research work, he established a Grid Environment using Globus ToolKit (open source software toolkit used for building Grid systems). Further, he also Established Cloud Lab, VCE using Aneka Platform (US Patented) of Manjrasoft Pvt Ltd. His research areas include Distributed Systems Cloud Computing and Data Science.
Dr. T. Hitendra Sarma received Ph.D. in Machine Learning from JNT University Anantapur, India, in Dec’ 2013. He has more than 14 years of teaching and research experience. Served at different reputed institutes in various capacities. Currently, Dr. Sarma is working as Associate Professor at Vasavi College of Engineering, Hyderabad. Dr. Sarma has published more than 30 research articles in various peer-reviewed International Journals and Conferences by Springer, Elsevier, and IEEE. His research interests include Machine Learning, Hyperspectral Image Processing, Artificial Neural Networks, Data Mining, Data Science, etc. Dr. Sarma holds a project funded by SERB, INDIA. Dr. Sarma is an active researcher. He presented his research articles at reputed conferences like IEEE WCCI (2016 Vancouver, Canada), IEEE CEC (2018, Rio de Janeiro, Brazil), and IEEE ICECIE (2019 Malaysia). He delivered an Invited Talk at the Third International Conference on Data Mining (ICDM) 2017 in Hualien, Taiwan.
Bibliographic Information
Book Title: Computational Intelligence and Data Analytics
Book Subtitle: Proceedings of ICCIDA 2022
Editors: Rajkumar Buyya, Susanna Munoz Hernandez, Ram Mohan Rao Kovvur, T. Hitendra Sarma
Series Title: Lecture Notes on Data Engineering and Communications Technologies
DOI: https://doi.org/10.1007/978-981-19-3391-2
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Softcover ISBN: 978-981-19-3390-5Published: 03 September 2022
eBook ISBN: 978-981-19-3391-2Published: 01 September 2022
Series ISSN: 2367-4512
Series E-ISSN: 2367-4520
Edition Number: 1
Number of Pages: XIV, 633
Number of Illustrations: 75 b/w illustrations, 221 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Statistics, general, Cyber-physical systems, IoT, Professional Computing, Communications Engineering, Networks