Computational Intelligence Techniques for Green Smart Cities
This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens'...
| Other Authors: | , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2022, 2022
|
| Edition: | 1st ed. 2022 |
| Series: | Green Energy and Technology
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Recent trends of Artificial Intelligence Techniques
- An Overview of Smart Green Cities Based on XAI Machine Learning for Green Smart Health
- Deep Learning Models for Green Smart Health
- On natural language processing to attack COVID-19 pandemic
- Evolutionary Algorithms for Smart Green Transportation
- Analysis and design of the Bus Transport Network
- Traffic sign detection system for Smart City Transportation
- Green Smart Transportation solutions for combating Covid-19
- The Utilization of Forecasting Methods of Solar Radiation
- Machine learning for Green Smart Environment
- Deep learning for green smart environment
- Machine Learning & Fuzzy Technique for Environmental Time Series
- A new Fuzzy Clustering Algorithm based on Maximum Likelihood Estimation
- Optimal Environmental-Economic Scheduling of a smart home
- Smart Home Application based on Evolutionary Algorithm: a Transfer Learning Approach
- Machine learning for Green Home
- Machine learning for green smart video surveillance
- Green Learning Solutions for Human Trafficking Victims in Rural Communities During the COVID-19
- A comparative analysis on object detection accuracy of cloud-based image processing services