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

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

معرفی کتاب «Computational Intelligence in Analytics and Information Systems : Volume 2: Advances in Digital Transformation, Selected Papers From CIAIS-2021» نوشتهٔ Parneeta Dhaliwal, Manpreet Kaur, Hardeo Kumar Thakur, Rajeev Kumar Arya, Joan Lu، منتشرشده توسط نشر Apple Academic Press در سال 2021. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

Reasonable efforts have been made to publish reliable data and information, but the authors, editors, and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors, editors, and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged, please write and let us know so we may rectify in any future reprint. Cover Half Title Title Page Copyright Page About the Editors Table of Contents Contributors Abbreviations Preface Committees of the International Conference on “Computational Intelligence in Analytics and Information Systems (CIAIS-2021),” April 2–3, 2021, Manav Rachna University, Faridabad, India Part I: Smart Technologies 1. Communication Services for Social Connect: 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 Internet of Things 10. Intelligent Spectacles for Accident Prevention 11. Impact of Co-doping on Armchair Silicene Nanoribbon using Al and P: A Potential Material for Efficient Computing 12. DOIFCM: An Outlier Efficient IFCM 13. Assessment of Document Clustering and Topic Modeling 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 Wireless Sensor Networks 22. An Optimized Multi-Server Queuing Model for Transportation Problems 23. Forming the Cluster in the RFID Network for Improving the Efficiency and Investigation of the 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 Index "The new book presents a valuable selection of new and state-of-the-art technological advancements in various application areas using the concepts of AI and machine learning, highlighting the use of predictive analytics of data from various application domains to find timely solutions to various problems. The book focuses on the research developments, limitations, and management of real-time problems using computational intelligence by identifying applicable approaches in order to enhance, automate, and develop effective solutions. The volume introduces empirical research, prospects of theoretical research, and applications in data science and artificial intelligence. The various novel approaches include applications in healthcare, natural language processing, and smart cities. As such, the book is divided into sections that address: Computational Intelligence in Image Processing Computational Intelligence in Healthcare Techniques for Natural Language Processing Computational Intelligence in Smart Cities This volume offers valuable information for researchers working in interdisciplinary or multidisciplinary areas of healthcare, image analysis, natural language processing, and smart cities. This includes academicians, people in industry, and students with engineering background with research interest in these areas"-- Provided by publisher 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.
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