Application Of Machine Learning In Intelligent Infrastructures And Smart Cities

This Special Issue aims to present new approaches for analysing huge volumes of data and recognising hidden patterns and experimental results in the area of smart cities, intelligent systems and machine learning, from both theoretical and experimental perspectives. Areas relevant to smart cities include, but are not limited to, intelligent systems and architectures, embedded systems, intelligent infrastructure, machine learning, deep learning, artificial intelligence, AI tools and applications, big data, data cleansing, data mining and knowledge discovery, genetic algorithms, neural networks, clustering, decision trees, data set training, model building and improvement, supervised and unsupervised learning, predictive analysis, output performance, pattern recognition, data visualisation, automated monitoring and decision making, scientific experiments, problem solving and other topics in the context of data analysis and decision making.