Table | Card | RUSMARC | |
Allowed Actions:
Group: Anonymous Network: Internet |
Annotation
"This book explores the application of deep learning in building a smart world, ranging from smart cities, smart agriculture to smart homes"--.
Document access rights
Network | User group | Action | ||||
---|---|---|---|---|---|---|
ILC SPbPU Local Network | All | |||||
Internet | Authorized users SPbPU | |||||
Internet | Anonymous |
Table of Contents
- Cover
- Title Page
- Copyright Page
- Book Series
- Table of Contents
- Detailed Table of Contents
- Preface
- Chapter 1: Deep Learning in IoT
- Chapter 2: Deep Learning Architectures and Tools
- Chapter 3: Facial Emotion Recognition System Using Entire Feature Vectors and Supervised Classifier
- Chapter 4: KidNet
- Chapter 5: Liver Disease Detection Using Grey Wolf Optimization and Random Forest Classification
- Chapter 6: Deep Neural Network-Based Android Malware Detection (D-AMD)
- Chapter 7: Deep Learning With Conceptual View in Meta Data for Content Categorization
- Chapter 8: A Fully Automated Crop Disease Monitoring and Management System Based on IoT
- Chapter 9: Analysis of Heart Disorder by Using Machine Learning Methods and Data Mining Techniques
- Chapter 10: Deep Learning in Engineering Education
- Chapter 11: Deep Learning Solutions for Agricultural and Farming Activities
- Compilation of References
- About the Contributors
- Index
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