Computational Intelligence in Analytics and Information Systems: Volume 2: Advances in Digital Transformation,...

— —

Parneeta Dhaliwal Manpreet Kaur

Computational Intelligence in Analytics and Information Systems

Volume 2: Advances in Digital Transformation, Selected Papers from CIAIS-2021

Parneeta Dhaliwal, Manpreet Kaur, Hardeo Kumar Thakur , Rajeev Kumar Arya

$309

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Apple Academic Press Inc.
11 September 2023

Biology, life sciences; Computing: general; Databases; Computer architecture & logic design; Educational: Sciences, general science

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.

Edited by: Parneeta Dhaliwal, Manpreet Kaur, Hardeo Kumar Thakur, Rajeev Kumar Arya, Joan Lu
Imprint: Apple Academic Press Inc.
Country of Publication: Canada
Dimensions: Height: 234mm, Width: 156mm,
Weight: 1.088kg
ISBN: 9781774911464
ISBN 10: 1774911469
Pages: 468
Publication Date: 11 September 2023
Audience: College/higher education , Primary
Format: Hardback
Publisher's Status: Active

PART I: SMART TECHNOLOGIES 1. Communication Services for Social Connection: A Proposed Market for Wipro 2. Assistive Technology as a Potential Aid for Disability and Health: A Critical Analysis 3. A Study on a Water-Body-Based Robotics Waste Management System 4. An Analysis of City Command Centers of Indian Smart Cities 5. Design of a Vehicle Pollution Detection System Using IoT 6. Fog Computing: The Next Generation Computing Paradigm 7. Logical Study of Predictions and Gathering Methodologies to Enhance Co-Clustering Formulation from a Period of Change Information in Machine Learning 8. A Review on Machine Learning Techniques for Recognition of Human Actions 9. Proposed Intelligent Vehicular Accident Detection and Alerting Based on the Internet of Things 10. Intelligent Spectacles for Accident Prevention 11. Impact of Co-Doping on Armchair Silicene Nanoribbon Using AI and P: A Potential Material for Efficient Computing 12. DOIFCM: An Outlier Efficient IFCM 13. Assessment of Document Clustering and Topic Modelling of Blockchain Adoption by the E-Sports Community 14. A Novel Hybrid Sampling Algorithm to Deal with Imbalanced Datasets 15. A Study on Analysis of E-Commerce Application on Online Healthcare 16. A Computational Approach to Detect the Incipient Cracks of Bearing in the Magnetic Particle Inspection Process PART II: COMPUTATIONAL INTELLIGENCE IN NETWORK TECHNOLOGIES 17. Comparison of Novel STE-AMM and EDES-ACM Frameworks with a Standard Cryptography Mechanism 18. Privacy Protection in Personalized Web Searches Using Anonymity 19. Performance Study of Various Routing Protocols in Opportunistic IoT Networks 20. On AES S-Boxes with Variable Modulus and Translation Polynomials 21. On Demand Link and Energy-Aware Dynamic Multipath Routing for Mobile Nodes in a Wireless Sensor Network 22. An Optimized Multi-Server Queuing Model for Transportation Problems 23. Forming the Cluster in the RFID Network for Improve the Efficiency and Investigation of Unkind Attacks 24. Traffic-Aware Quality of Service Routing in SDIoT Using Ant Colony Optimization Algorithm 25. ML-BBFT: ML-Based Bonding-Based Forwarding Technique for Social OppIoT Networks 26. Eff-MANet: A Systematic Approach for Feature Extraction in Unstructured Road Scene Scenarios 27. Quantum Error Correction Technique for Quantum-Based Satellite Communication PART III: COMPUTATIONAL INTELLIGENCE IN SOFTWARE ENGINEERING 28. A Study on an Education-Based Interactive Automated Agent 29. Issues in Retrieving Research Data from Open Source Software Projects: A Case Study 30. Proposed Model for Data Warehouse Requirement Engineering 31. Random Cloudlet Priority Scheduling: An Enhanced Approach 32. RAFI: Parallel Dynamic Test-Suite Reduction for Software 33. Security Optimization through Programmability and Flexibility in Software-Defined Networking: A Novel Approach 34. Test Case Optimization Using Genetic Algorithm

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.