Жанры
Авторы
Контакты
О сайте
Книжные новинки
Популярные книги
Найти
Главная
Авторы
Группа авторов
Green Internet of Things and Machine Learning
Читать книгу Green Internet of Things and Machine Learning - Группа авторов - Страница 1
Оглавление
Предыдущая
Следующая
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
...
81
Оглавление
Купить и скачать книгу
Вернуться на страницу книги Green Internet of Things and Machine Learning
Оглавление
Страница 1
Table of Contents
Guide
List of Illustrations
List of Tables
Pages
Страница 7
Страница 8
Страница 9
Страница 10
Страница 11
1
G-IoT and ML for Smart Computing
1.1 Introduction
1.2 Machine Learning
1.2.1 Difference Between Artificial Intelligence and Machine Learning
1.2.2 Types of Machine Learning
1.2.2.1 Supervised Learning
1.2.2.2 Unsupervised Learning
1.2.2.3 Semi-Supervised Learning
1.2.2.4 Reinforcement Learning
1.3 Deep Learning
1.4 Correlation Between AI, ML, and DL
1.5 Machine Learning–Based Smart Applications 1.5.1 Supervised Learning–Based Applications
1.5.1.1 Email Spam Filtering
1.5.1.2 Face Recognition
1.5.1.3 Speech Recognition
1.5.1.4 Handwriting Recognition
1.5.1.5 Intrusion Detection
1.5.1.6 Data Center Optimization
1.5.2 Unsupervised Learning–Based Applications
1.5.2.1 Social Network Analysis
1.5.2.2 Medical Records
1.5.2.3 Speech Activity Detection
1.5.2.4 Analysis of Cancer Diagnosis
1.5.3 Semi-Supervised Learning–Based Applications
1.5.3.1 Mobile Learning Environments
1.5.3.2 Computational Advertisement
1.5.3.3 Sentiment Analysis
1.5.4 Reinforcement Learning–Based Applications
1.5.4.1 Traffic Forecasting Service
1.5.4.2 Computer Games
1.5.4.3 Machinery Applications
1.5.4.4 Stock Market Analysis
1.6 IoT
1.7 Green IoT
1.8 Green IoT–Based Technologies
1.8.1 Identification
1.8.2 Sensing
1.8.3 Communication Technologies
1.8.4 Computation
1.8.5 Services
1.8.6 Semantic
1.9 Life Cycle of Green IoT
1.10 Applications
1.10.1 Industrial Automation
1.10.1.1 Machine to Machine Communications
1.10.1.2 Plant Monitoring
1.10.2 Healthcare
1.10.2.1 Real-Time Tracking
1.10.2.2 Identification
1.10.2.3 Smart Data Collection
1.10.2.4 Smart Sensing
1.10.3 Environment Monitoring
1.10.3.1 Agriculture
1.10.3.2 Smog Control
1.10.3.3 Waste Management
1.10.3.4 Smart Water
1.10.4 Suburban Sector
1.10.4.1 Smart Buildings
1.10.4.2 Garbage Collection
1.10.4.3 Water Sensors
1.10.4.4 Smart Metering
1.10.5 People and Goods Transportation
1.10.5.1 Smart Parking
1.10.5.2 Smart Traffic Congestion Detection
1.10.6 Marketing and Shipment Management
1.10.6.1 Smart Logistics/Shipment
1.10.6.2 Managing Quality
1.10.7 Recycling
1.11 Challenges and Opportunities for Green IoT
1.11.1 Architecture of Green IoT
1.11.2 Green Infrastructure
1.11.3 Green Spectrum Management
1.11.4 Green Communication
1.11.5 Green Security and Servicing Provisioning
1.12 Future of G-IoT
1.13 Conclusion
References
{buyButton}
Подняться наверх
