Computational Intelligence Techniques for Green Smart Cities

Computational Intelligence Techniques for Green Smart Cities

Lahby, Mohamed; Maleh, Yassine; Al-Fuqaha, Ala

Springer Nature Switzerland AG

04/2022

419

Dura

Inglês

9783030964283

15 a 20 dias

811

Descrição não disponível.
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.
Computational Intelligence;Artificial Intelligence;Machine Learning;Green smart city;Green IoT;Green smart health;Green Smart Education;Green smart Home