Recent Studies on Computational Intelligence (eBook, PDF)

Doctoral Symposium on Computational Intelligence (DoSCI 2020)
Redaktion: Khanna, Ashish; Swaroop, Abhishek; Singh, Awadhesh Kumar

• Format: PDF

Produktbeschreibung

This book gathers the latest quality research work of Ph.D. students working on the current areas presented in the Doctoral Symposium on Computational Intelligence (DoSCI 2020). The book includes works in the areas of artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, decision support and decision making. The book is useful for researchers, students, engineers, practitioners and academicians in their advance studies.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 122
• Erscheinungstermin: 16. Oktober 2020
• Englisch
• ISBN-13: 9789811584695
• Artikelnr.: 62299435

Autorenporträt

Ashish Khanna has 16 years of expertise in Teaching, Entrepreneurship and Research & Development. He received his Ph.D. degree from NIT, Kurukshetra. He has completed his M.Tech. and B.Tech. GGSIPU, Delhi. He has completed his postdoc from Internet of Things Lab at Inatel, Brazil, and University of Valladolid, Spain. He has published and accepted around 45 SCI indexed papers in IEEE Transaction, Springer, Elsevier, Wiley and several journals with cumulative impact factor of above 100 to his credit. He has more than 100 research articles in top SCI/ Scopus journals, conferences and edited books. He is co-author and co-editor of around 20 edited and textbooks. His research interest includes MANET, FANET, VANET, IoT, machine learning and many more. He is Convener and Organizer of ICICC conference series. He is currently working in the CSE department of Maharaja Agrasen Institute of Technology, Delhi, India.   Awadhesh Kumar Singh received his Bachelor of Technology (B.Tech.) degree in Computer Science from Madan Mohan Malaviya University of Technology, Gorakhpur, India, in 1988, and his M.Tech. and Ph.D. degrees in Computer Science from Jadavpur University, Kolkata, India, in 1998 and 2004, respectively. He joined the Department of Computer Engineering at the National Institute of Technology, Kurukshetra, India, in 1991, where he is presently a Professor and Head of the Department of Computer Applications. Earlier, he also served as Head of Computer Engineering Department during 2007-2009 and 2014-2016. He has published 150 papers in various journals and conference proceedings. He has supervised 10 Ph.D. scholars. He has visited countries like Thailand, Italy, Japan, UK and USA to present his research work. His research interests include cognitive radio networks, distributed algorithms, fault tolerance and security.     Prof. (Dr.) Abhishek Swaroop completed his B.Tech. (CSE) from GBP University of Agriculture & Technology, M.Tech. from Punjabi University Patiala and Ph.D. from NIT Kurukshetra. He has 28 years of teaching and industrial experience. He has served in reputed educational institutions such as Jaypee Institute of Information Technology, Noida, Sharda University Greater Noida and Galgotias University Greater Noida. He is actively engaged in research. One of his Ph.D. scholar has completed his Ph.D. from NIT Kurukshetra, and he is currently supervising 4 Ph.D. students. He has guided 10 M.Tech. dissertations also. He has authored 3 books and 5 book chapters. His 7 papers are indexed in DBLP and 6 papers are SCI. He had been part of the organizing committee of three IEEE conferences (ICCCA-2015, ICCCA-2016, ICCCA-2017), one Springer conference (ICICC-2018) as Technical Program Chair. He is member of various professional societies like CSI and ACM and editorial board of various reputed journals.

Inhaltsangabe

Onto-Semantic Indian Tourism Information Retrieval System.- An Efficient Link Prediction Model Using Supervised Machine Learning.- Optimizing Cost and Maximizing Profit for Multi Cloud-Based Big Data Computing by Deadline Aware Optimize Resource Allocation.- A Comprehensive Survey on Passive Video Forgery Detection Techniques.- DDOS Detection using Machine Learning Technique.- Enhancements in Performance of Reduced Order Modelling of Large Scale Control Systems.- Solution to Unit Commitment Problem: Modified hGADE Algorithm.- In silico modeling and screening studies of PfRAMA protein: Implications in malaria.- IBRP: An Infrastructure Based Routing Protocol Using Static Clusters in Urban VANETs