This new two-volume addresses a number of state-of-the-art developments and unsolved open issues in the field of computational intelligence.
Volume 1 focuses on data science and artificial intelligence. It highlights 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 chapters present diverse application of computer intelligence and machine learning in security, healthcare and medicine, agriculture, traffic science/smart cities, and language and text conversion.
Volume 2 demonstrates empirical, theoretical, and application perspectives on smart technologies, computational intelligence in network technologies, and computational intelligence in software engineering, identifying the advantages and limitations of each. The chapters on smart technologies address their application in such areas as 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, satellite communication technology, ant colony optimization algorithms, etc.
Together, these two volumes offer new research on presented by young and dynamic researchers and experts from industry and academia, sharing a plethora of new and emerging technologies that support their effective operations in computational intelligence in information systems.
These peer-review chapters were selected from the International Conference on Computational Intelligence in Analytics and Information Systems' (CIAIS- 2021), held in April 2021 at Manav Rachna University, India.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic and Postgraduate
Illustrationen
16 farbige Abbildungen, 267 s/w Abbildungen
16 Illustrations, color; 267 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
Gewicht
ISBN-13
978-1-77491-142-6 (9781774911426)
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 Klassifikation
Parneeta Dhaliwal, PhD, has over 16 years of experience in teaching and research. Presently, she is working as Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She is also working as Head of the Research Cluster of Computing (RCC) to facilitate students in their research and innovative projects.
Manpreet Kaur, PhD, is working as 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. She is currently working in the domains of machine learning, deep learning, and natural language processing. She is a Senior Member, IEEE (USA).
Hardeo Kumar Thakur, PhD, is working as an Associate Professor in the Department of Computer Science and Technology of Manav Rachna University (MRU), Faridabad, India. He has more than 10 years of teaching and research experience in leading institutions of India. He earned his PhD (Computer Engineering) from the University of Delhi in 2017 in the field of data mining. His current research interests are data mining, dynamic graph mining, machine learning and big data analytics.
Rajeev Kumar Arya, PhD, is currently 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 (ISE) in the Centre of High Intelligent Computing (CHIC) at the University of Huddersfield, United Kingdom, having previously been team leader in the IT Department of the publishing company Charlesworth Group.
VOLUME 1: DATA SCIENCE AND AI, SELECTED PAPERS FROM CIAIS-2021 PART I: COMPUTATIONAL INTELLIGENCE IN IMAGE PROCESSING 1. A Study of Issues and Challenges with Digital Image Processing 2. A Methodical View on Prerequisites of Picture Combination, Strategies, Key Indicators with Usage in Real Life and Scientific Domains Facilitating Smart Ubiquitous Environment 3. A Study of Emerging Issues and Possibilities for Breast Cancer Diagnosis Using Image Modalities 4. Pap Smear Image Segmentation Using Chan-Vese Based Adaptive Primal Dual Splitting Algorithm 5. Satellite Image Compression by Random Forest Optimization Techniques and Performance Comparison Using Multispectral Image Compression Method 6. Learning Spatio-Temporal Features for Movie Scene Retrieval Using 3d Convolutional Autoencoder 7. Person Re-Identification Using Deep Learning and Neural Networks PART II: COMPUTATIONAL INTELLIGENCE IN HEALTHCARE 8. A Systematic Literature Review in Health Informatics Using Data Mining Techniques 9. Utilization of Artificial Intelligence Based Methods for Preoperative Prediction in Shoulder Arthroplasty: Survey 10. Role of Computer-Based Intelligence for Prognostication a Social Well-Being and Identifying Frailty and Drawbacks 11. Health Informatics Support for Occurrence Administration Using Artificial Intelligence and Deep Learning: COVID-19 Pandemic Response 12. Machine Learning Approach for Prediction Analysis of COVID-19 13. Assessment of Generalized Anxiety Disorder and Mood Disorder in Undergraduate Students during the Coronavirus Disease (COVID-19) Pandemic 14. Evaluation of Deep Learning Models for Medical Tools Classification 15. Cervical Cancer Diagnosis and Prediction: An Application of Machine Learning Techniques 16. The Working Analysis on Machine Learning Algorithms to Predict Diabetes and Breast Cancer 17. An Ensemble of AdaBoost with Multilayer Perceptron for Heart Disease Prediction PART III: TECHNIQUES FOR NATURAL LANGUAGE PROCESSING 18. An Empirical Study of Text Summarization Techniques Using Extractive Approaches 19. Design and Comparative Analysis of Inverted Indexing of Text Documents 20. Acoustic Musical Instrument Recognition 21. Classification of Accented Voice Using RNN and GAN 22. Speech Emotion Recognition Using LSTM 23. Interpretation of American Sign Language Using a Convolutional Neural Network 24. Emotional Intelligence: An Approach to Analyze Stress Using Speech and Face Recognition 25. Proposed Integrated Framework for Emotion Recognition: A Futuristic Approach PART IV: COMPUTATIONAL INTELLIGENCE IN SMART CITIES 26. A Review on Machine Learning Techniques for Human Actions Recognition 27. Fog-Based Intelligent Traffic Phase Timing Regulation System 28. Deep Learning Classification Model for Detection of Traffic Signs 29. Understanding Road Scene Images Using CNN Features 30. Profitable Crop Prediction for the State of Odisha Using Machine Learning Algorithms 31. CapGAN: IoT-Based Cropping Patterns Prediction and Recommendation for Crop Cultivation VOLUME 2: ADVANCES IN DIGITAL TRANSFORMATION, SELECTED PAPERS FROM CIAIS-2021 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 (CCCs) 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 Human Actions Recognition 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 a Magnetic Particle Inspection Process PART II: COMPUTATIONAL INTELLIGENCE IN NETWORK TECHNOLOGIES 17. Comparison of Novel STE-AMM and EDES-ACM Framework 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 (QoS) 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 (SDN): A Novel Approach 34. Test Case Optimization Using a Genetic Algorithm
