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Foreword
Preface
Acknowledgement
Table of Contents
Chapter 1:
Automatic Fetal Motion Detection from Trajectory of US Videos Based on YOLOv5 and LSTM
Chapter 2:
Explainable Machine Learning (XML) for Multimedia-based Healthcare Systems: Opportunities, Challenges, Ethical and Future Prospects
Chapter 3:
Ensemble deep learning architectures in bone cancer detection based on Medical Diagnosis in Explainable Artificial Intelligence
Chapter 4:
Digital dermatitis disease classification utilizing visual feature extraction and various machine learning techniques by explainable AI
Chapter 5:
Explainable Machine Learning in Healthcare
Chapter 6:
Explainable Artificial Intelligence with Scaling Techniques to Classify Breast Cancer Images
Chapter 7:
A Novel Approach of COVID -19 Estimation Using GIS and Kmeans Clustering: A Case of GEOAI
Chapter 8:
A Brief Review of Explainable Artificial Intelligence Reviews and Methods
Chapter 9:
Systematic Literature Review In Using Big Data Analytics And XAI Applications In Medical
Chapter 10:
Using Explainable Artificial Intelligence In Drug Discovery: A Theoretical Research
Chapter 11:
Application of Interpretable Artificial Intelligence enabled Cognitive Internet of Things for COVID-19 Pandemics
Chapter 12:
Remote Photoplethysmography: Digital Disruption in Health Vital Acquisition.

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