1st Edition

Computational Intelligence in Analytics and Information Systems Volume 2: Advances in Digital Transformation, Selected Papers from CIAIS-2021

502 Pages 12 Color & 141 B/W Illustrations
by Apple Academic Press

502 Pages 12 Color & 141 B/W Illustrations
by Apple Academic Press

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... Read more

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.