1st Edition
Computational Intelligence in Analytics and Information Systems Volume 2: Advances in Digital Transformation, Selected Papers from CIAIS-2021
This new volume presents a selection of state-of-the-art technological advancements in IoT, network technologies, and software engineering that address unsolved issues in computational intelligence. The volume focuses on empirical, theoretical, and application perspectives on smart technologies and computational intelligence, identifying the advantages and limitations of each.
The chapters on smart technologies address their application in communication services, healthcare and assistive technology, urban waste management, vehicle pollution and accident detection, and more. The technologies encompass the use of machine learning, blockchain, fog computing, etc. The volume goes on to discuss computational intelligence in network technologies as well as cryptography mechanisms, internet privacy protection, satellite communication technology, ant colony optimization algorithms, etc. The topics on computational intelligence in software engineering include security optimization via software-defined networking, education-based interactive automated agent, data warehouse requirement engineering, and more.
Together with Volume 1: Data Science and AI, Selected Papers from CIAIS-2021, this 2-volume set offers and abundance of valuable information on emerging technologies in computational intelligence.
PART I: SMART TECHNOLOGIES
1. Communication Services for Social Connection: A Proposed Market for Wipro
Kuldeep Singh, Madhvendra Misra, and Jitendra Yadav
2. Assistive Technology as a Potential Aid for Disability and Health: A Critical Analysis
Riya Aggarwal, Nancy Girdhar, and Alpana
3. A Study on a Water-Body-Based Robotics Waste Management System
Sazid Ali, Firdous Shamim, Ritam Mukherjee, Anwesha Das, Aninda Chowdhury, and Riya Sil
4. An Analysis of City Command Centers of Indian Smart Cities
Amara Aditya, Rohit Tanwar, and Mrinal Goswami
5. Design of a Vehicle Pollution Detection System Using IoT
Akshi Goswami, Parul Tomar, and Sapna Gambhir
6. Fog Computing: The Next Generation Computing Paradigm
Dr. Sapna Gambhir, Parul Tomar, and Parkhi Jain
7. Logical Study of Predictions and Gathering Methodologies to Enhance Co-Clustering Formulation from a Period of Change Information in Machine Learning
Ganesh Gupta, Vivek Sharma, and Tanuj Joshi
8. A Review on Machine Learning Techniques for Recognition of Human Actions
Diana Nagpal and Rajiv Kumar
9. Proposed Intelligent Vehicular Accident Detection and Alerting Based on the Internet of Things
Deepshikha Agarwal
10. Intelligent Spectacles for Accident Prevention
Srikant Sonekar, Gaurav Habad, Kruti Sontakke, Gaurav Kshirsagar, Harshal Bhoyar, and Abhishek Barve
11. Impact of Co-Doping on Armchair Silicene Nanoribbon Using AI and P: A Potential Material for Efficient Computing
Saurabh Kharwar and Sangeeta Singh
12. DOIFCM: An Outlier Efficient IFCM
Sonika Dahiya and Anjana Gosain
13. Assessment of Document Clustering and Topic Modelling of Blockchain Adoption by the E-Sports Community
Jitendra Yadav, Madhvendra Misra, and Kuldeep Singh
14. A Novel Hybrid Sampling Algorithm to Deal with Imbalanced Datasets
Deepika Singh, Anju Saha, and Anjana Gosain
15. A Study on Analysis of E-Commerce Application on Online Healthcare
Rajib Nag, Niloy Dev, and Riya Sil
16. A Computational Approach to Detect the Incipient Cracks of Bearing in the Magnetic Particle Inspection Process
Junaid Ali, Vansh Khera, and Anudruti Singha
PART II: COMPUTATIONAL INTELLIGENCE IN NETWORK TECHNOLOGIES
17. Comparison of Novel STE-AMM and EDES-ACM Framework with a Standard Cryptography Mechanism
Sameer and Harish Rohil
18. Privacy Protection in Personalized Web Searches Using Anonymity
Krishan Kumar, Mukesh Kumar Gupta, and Vivek Jaglan
19. Performance Study of Various Routing Protocols in Opportunistic IoT Networks
S. P. Ajith Kumar and Hardeo Kumar Thakur
20. On AES S-Boxes with Variable Modulus and Translation Polynomials
Chaman Prakash Arya, Ram Ratan, and Neelam Verma
21. On-Demand Link and Energy-Aware Dynamic Multipath Routing for Mobile Nodes in a Wireless Sensor Networks
S. Suma and B. Harsoor
22. An Optimized Multi-Server Queuing Model for Transportation Problems
Amit Bhatnagar and Arvind Kumar Shukla
23. Forming the Cluster in the RFID Network for Improving the Efficiency and Investigation of the Unkind Attacks
M. Thurai Pandian and P. Damodharan
24. Traffic-Aware Quality of Service Routing in SDIoT Using Ant Colony Optimization Algorithm
Dharamendra Chouhan, L. Kavyashree, P. K. Udayaprasad, J. Shreyas, N. N. Srinidhi, and Dilip Kumar S. M.
25. ML-BBFT: ML-Based Bonding-Based Forwarding Technique for Social OppIoT Networks
Ritu Nigam and Satbir Jain
26. Eff-MANet: A Systematic Approach for Feature Extraction in Unstructured Road Scene Scenarios
Anamika Maurya and Satish Chand
27. Quantum Error Correction Technique for Quantum-Based Satellite Communication
Veenu Yadav, Deepshikha Agarwal, and Krishna Kant Agarwal
PART III: COMPUTATIONAL INTELLIGENCE IN SOFTWARE ENGINEERING
28. A Study on an Education-Based Interactive Automated Agent
Jaly Dasmahapatra, Mili Dasmahapatra, Debojit Dhali, Nayan Garain, and Riya Sil
29. Issues in Retrieving Research Data from Open Source Software Projects: A Case Study
Jaswinder Singh, Anu Gupta, and Preet Kanwal
30. Proposed Model for Data Warehouse Requirement Engineering
Hanu Bhardwaj and Jyoti Pruthi
31. Random Cloudlet Priority Scheduling: An Enhanced Approach
Sumit Bansal, Himanshu Agarwal, and Mayank Agarwal
32. RAFI: Parallel Dynamic Test-Suite Reduction for Software
Najneen, Manish Kumar Mukhija, and Satish Kumar
33. Security Optimization through Programmability and Flexibility in Software-Defined Networking: A Novel Approach
Pradeep Kumar Sharma and S. S Tyagi
34. Test Case Optimization Using Genetic Algorithm
Neeru Ahuja and Pradeep Kumar Bhatia
Biography
Parneeta Dhaliwal, PhD, has over 16 years of experience in teaching and research. Presently, she is an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She is also Head of the Research Cluster of Computing to facilitate students in their research projects.
Manpreet Kaur, PhD, is an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She has more than 14 years of teaching and research experience. Her current research is on machine learning, deep learning, and natural language processing.
Hardeo Kumar Thakur, PhD, is an Associate Professor in the Department of Computer Science and Technology of Manav Rachna University, Faridabad, India. With more than 10 years of teaching and research experience, he focuses on data mining, dynamic graph mining, machine learning and big data analytics.
Rajeev Kumar Arya, PhD, is an Assistant Professor with the Department of Electronics and Communication Engineering at National Institute of Technology, Patna, India. His current research interests are in wireless communication, soft computing techniques, cognitive radio, signal processing, communication systems, and circuits design.
Joan Lu, PhD, is a Professor in the Department of Computer Science and the Research Group Leader of Information and System Engineering in the Centre of High Intelligent Computing at the University of Huddersfield, UK, having previously been team leader in the IT Department of the Charlesworth Group.
