Description |
1 online resource (xxxiv, 468 pages) |
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text/computer/online resource/ |
Subject |
Computational intelligence -- Congresses.
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Information technology -- Congresses.
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Contents |
PART I: SMART TECHNOLOGIES1. Communication Services for Social Connection: A Proposed Market for WiproKuldeep Singh, Madhvendra Misra, and Jitendra Yadav2. Assistive Technology as a Potential Aid for Disability and Health: A Critical AnalysisRiya Aggarwal, Nancy Girdhar, and Alpana3. A Study on a Water-Body-Based Robotics Waste Management SystemSazid Ali, Firdous Shamim, Ritam Mukherjee, Anwesha Das, Aninda Chowdhury, and Riya Sil4. An Analysis of City Command Centers of Indian Smart CitiesAmara Aditya, Rohit Tanwar, and Mrinal Goswami5. Design of a Vehicle Pollution Detection System Using IoTAkshi Goswami, Parul Tomar, and Sapna Gambhir6. Fog Computing: The Next Generation Computing ParadigmDr. Sapna Gambhir, Parul Tomar, and Parkhi Jain7. Logical Study of Predictions and Gathering Methodologies to Enhance Co-Clustering Formulation from a Period of Change Information in Machine LearningGanesh Gupta, Vivek Sharma, and Tanuj Joshi8. A Review on Machine Learning Techniques for Recognition of Human Actions Diana Nagpal and Rajiv Kumar9. Proposed Intelligent Vehicular Accident Detection and Alerting Based on the Internet of ThingsDeepshikha Agarwal10. Intelligent Spectacles for Accident PreventionSrikant Sonekar, Gaurav Habad, Kruti Sontakke, Gaurav Kshirsagar, Harshal Bhoyar, and Abhishek Barve11. Impact of Co-Doping on Armchair Silicene Nanoribbon Using AI and P: A Potential Material for Efficient ComputingSaurabh Kharwar and Sangeeta Singh12. DOIFCM: An Outlier Efficient IFCMSonika Dahiya and Anjana Gosain13. Assessment of Document Clustering and Topic Modelling of Blockchain Adoption by the E-Sports CommunityJitendra Yadav, Madhvendra Misra, and Kuldeep Singh14. A Novel Hybrid Sampling Algorithm to Deal with Imbalanced DatasetsDeepika Singh, Anju Saha, and Anjana Gosain15. A Study on Analysis of E-Commerce Application on Online HealthcareRajib Nag, Niloy Dev, and Riya Sil16. A Computational Approach to Detect the Incipient Cracks of Bearing inthe Magnetic Particle Inspection ProcessJunaid Ali, Vansh Khera, and Anudruti SinghaPART II: COMPUTATIONAL INTELLIGENCE IN NETWORK TECHNOLOGIES17. Comparison of Novel STE-AMM and EDES-ACM Framework with a Standard Cryptography MechanismSameer and Harish Rohil18. Privacy Protection in Personalized Web Searches Using AnonymityKrishan Kumar, Mukesh Kumar Gupta, and Vivek Jaglan19. Performance Study of Various Routing Protocols in Opportunistic IoT NetworksS. P. Ajith Kumar and Hardeo Kumar Thakur20. On AES S-Boxes with Variable Modulus and Translation PolynomialsChaman Prakash Arya, Ram Ratan, and Neelam Verma21. On-Demand Link and Energy-Aware Dynamic Multipath Routing for Mobile Nodes in a Wireless Sensor NetworksS. Suma and B. Harsoor22. An Optimized Multi-Server Queuing Model for Transportation ProblemsAmit Bhatnagar and Arvind Kumar Shukla23. Forming the Cluster in the RFID Network for Improving the Efficiency and Investigation of the Unkind AttacksM. Thurai Pandian and P. Damodharan24. Traffic-Aware Quality of Service Routing in SDIoT Using Ant Colony Optimization AlgorithmDharamendra 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 NetworksRitu Nigam and Satbir Jain26. Eff-MANet: A Systematic Approach for Feature Extraction in Unstructured Road Scene ScenariosAnamika Maurya and Satish Chand27. Quantum Error Correction Technique for Quantum-Based Satellite CommunicationVeenu Yadav, Deepshikha Agarwal, and Krishna Kant AgarwalPART III: COMPUTATIONAL INTELLIGENCE IN SOFTWARE ENGINEERING28. A Study on an Education-Based Interactive Automated AgentJaly Dasmahapatra, Mili Dasmahapatra, Debojit Dhali, Nayan Garain, and Riya Sil29. Issues in Retrieving Research Data from Open Source Software Projects: A Case StudyJaswinder Singh, Anu Gupta, and Preet Kanwal30. Proposed Model for Data Warehouse Requirement EngineeringHanu Bhardwaj and Jyoti Pruthi31. Random Cloudlet Priority Scheduling: An Enhanced ApproachSumit Bansal, Himanshu Agarwal, and Mayank Agarwal32. RAFI: Parallel Dynamic Test-Suite Reduction for SoftwareNajneen, Manish Kumar Mukhija, and Satish Kumar33. Security Optimization through Programmability and Flexibility in Software-Defined Networking: A Novel ApproachPradeep Kumar Sharma and S. S Tyagi34. Test Case Optimization Using Genetic AlgorithmNeeru Ahuja and Pradeep Kumar Bhatia |
Summary |
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. |
Note |
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. |
Add Author |
Dhaliwal, Parneeta, editor.
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Kaur, Manpreet (Lecturer in computer science), editor.
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Thakur, Hardeo Kumar, editor.
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Arya, Rajeev, 1985- editor.
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Lu, Zhongyu, 1955- editor.
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Other Title |
Advances in digital transformation, selected papers from CIAIS-2021 |
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CIAIS 2021 |
LC # |
Q342 |
Dewey # |
006.3 |
ISBN |
9781003332367 |
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1003332366 |
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9781774911471 |
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9781774911464 |
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9781000772272 |
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1000772276 |
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9781000772319 |
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1000772314 |
Other # |
9781003332367 |
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10.1201/9781003332367 doi |
Isn/Std # |
9781003332367 Taylor & Francis |
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