"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"--
Author(s): Hardeo Kumar Thakur, Manpreet Kaur (Lecturer in computer science), Parneeta Dhaliwal, Rajeev Arya, Zhongyu Lu
Year: 2023
Language: English
Pages: 489
Cover
Half Title
Title Page
Copyright Page
About the Editors
Table of Contents
Contributors
Abbreviations
Preface
Part I: Computational Intelligence in Image Processing
1. A Study of Issues and Challenges with Digital Image Processing
2. A Methodical View of Prerequisites of Picture Combination, Strategies, and 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 a Multispectral Image Compression Method
6. Learning Spatiotemporal Features for Movie Scene Retrieval Using a 3D Convolutional Autoencoder
7. Person Reidentification 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 Prognosticating Social Wellbeing 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 the American Sign Language Using Convolutional Neural Networks
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 the 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
Index
