Recent Studies on Computational Intelligence

1. Front Matter

   Pages i-xi

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2. Onto-Semantic Indian Tourism Information Retrieval System

   • Shilpa S. Laddha, Pradip M. Jawandhiya

   Pages 1-18

3. An Efficient Link Prediction Model Using Supervised Machine Learning

   • Praveen Kumar Bhanodia, Aditya Khamparia, Babita Pandey

   Pages 19-27

4. Optimizing Cost and Maximizing Profit for Multi-Cloud-Based Big Data Computing by Deadline-Aware Optimize Resource Allocation

   • Amitkumar Manekar, G. Pradeepini

   Pages 29-38

5. A Comprehensive Survey on Passive Video Forgery Detection Techniques

   • Vinay Kumar, Abhishek Singh, Vineet Kansal, Manish Gaur

   Pages 39-57

6. DDOS Detection Using Machine Learning Technique

   • Sagar Pande, Aditya Khamparia, Deepak Gupta, Dang N. H. Thanh

   Pages 59-68

7. Enhancements in Performance of Reduced Order Modelling of Large-Scale Control Systems

   • Ankur Gupta, Amit Kumar Manocha

   Pages 69-78

8. Solution to Unit Commitment Problem: Modified hGADE Algorithm

   • Amritpal Singh, Aditya Khamparia

   Pages 79-90

9. In Silico Modeling and Screening Studies of PfRAMA Protein: Implications in Malaria

   • Supriya Srivastava, Puniti Mathur

   Pages 91-101

10. IBRP: An Infrastructure-Based Routing Protocol Using Static Clusters in Urban VANETs

    • Pavan Kumar Pandey, Vineet Kansal, Abhishek Swaroop

    Pages 103-122

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.

• Computational Intelligence
• Artificial Intelligence
• Soft Computing
• Cloud Computing
• Evolutionary Computing
• Data Science
• DoSCI 2020

• Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, India

  Ashish Khanna

• Department of Computer Engineering, NIT Kurukshetra, Kurukshetra, India

  Awadhesh Kumar Singh

• Department of Computer Science Engineering, Bhagwan Parushram Institute of Technology, New Delhi, India

  Abhishek Swaroop

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.

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