Computational Intelligence in Analytics and Information Systems
Volume 2: Advances in Digital Transformation, Selected Papers from CIAIS-2021
1st Edition
Published on 11. September 2023
Book
Hardback
468 pages
978-1-77491-146-4 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
Oakville
Canada
Target group
College/higher education
Professional and scholarly
Academic and Postgraduate
Illustrations
141 s/w Abbildungen, 12 farbige Abbildungen, 11 s/w Photographien bzw. Rasterbilder, 130 s/w Zeichnungen, 12 farbige Zeichnungen, 48 s/w Tabellen
48 Tables, black and white; 12 Line drawings, color; 130 Line drawings, black and white; 11 Halftones, black and white; 12 Illustrations, color; 141 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
1090 gr
ISBN-13
978-1-77491-146-4 (9781774911464)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Parneeta Dhaliwal | Manpreet Kaur | Hardeo Kumar Thakur
Computational Intelligence in Analytics and Information Systems
Volume 2: Advances in Digital Transformation, Selected Papers from CIAIS-2021
E-Book
09/2023
1st Edition
Apple Academic Press Inc.
€194.99
Available for download
Parneeta Dhaliwal | Manpreet Kaur | Hardeo Kumar Thakur
Computational Intelligence in Analytics and Information Systems
Volume 2: Advances in Digital Transformation, Selected Papers from CIAIS-2021
E-Book
09/2023
1st Edition
Apple Academic Press Inc.
€194.99
Available for download
Persons
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.
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.
Content
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