Details
Title | Advances in computational intelligence and robotics (ACIR) book series. — Deep learning applications and intelligent decision making in engineering |
---|---|
Other creators | Senthilnathan Karthikrajan ; Shanmugam Balamurugan ; Goyal Dinesh ; Annapoorani Iyswarya ; Samikannu Ravi |
Collection | Электронные книги зарубежных издательств ; Общая коллекция |
Subjects | Engineering — Data processing. ; Computational intelligence. ; Machine learning. ; Smart materials. ; EBSCO eBooks |
Document type | Other |
File type | |
Language | English |
Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
Record key | on1135087408 |
Record create date | 8/20/2019 |
Allowed Actions
pdf/2649540.pdf | – |
Action 'Read' will be available if you login or access site from another network
Action 'Download' will be available if you login or access site from another network
|
---|---|---|
epub/2649540.epub | – |
Action 'Download' will be available if you login or access site from another network
|
Group | Anonymous |
---|---|
Network | Internet |
"This book explores the application of deep learning in building a smart world, ranging from smart cities, smart agriculture to smart homes"--.
Network | User group | Action |
---|---|---|
ILC SPbPU Local Network | All |
|
Internet | Authorized users SPbPU |
|
Internet | Anonymous |
|
- 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