附註:Includes bibliographical references and index.
Chapter 1. Artificial intelligence and data analytics-based emotional intelligence -- Chapter 2. Emotion detection and classification using machine learning techniques -- Chapter 3. Role of machine and deep learning techniques in diabetic retinopathy detection -- Chapter 4. Role of machine learning in artificial emotional intelligence -- Chapter 5. Role of emotional intelligence in agile supply chains -- Chapter 6. Neural patterns of emotions in EEG and fMRI: emotions' patterns in EEG signals -- Chapter 7. A neural network approach to increase project team effectiveness through emotional intelligence -- Chapter 8. Deep learning-based detection of thyroid nodules -- Chapter 9. Emotion-based human-computer interaction -- Chapter 10. A study of human interaction emotional intelligence in healthcare applications -- Chapter 11. To what extent can multidisciplinary artificial intelligence applications enhance higher education?: Open and distance e-learning in South Africa -- Chapter 12. Google play store apps: data analysis and popularity predictions using artificial emotional intelligence -- Chapter 13. Providing the population with medical services in the context of emotional intelligence: evidence of Russian regions -- Chapter 14. The effect of emotional intelligence applications on the lifestyle of the elderly -- Chapter 15. Deep learning methods for modelling emotional intelligence.
摘要:"This book explores artificial intelligence applications in emotional intelligence including machine learning and deep learning and presents up-to-date technologies and solutions to the main aspects regarding the applications of artificial intelligence in emotional intelligence applications"--
