Titlebook: Smart Infrastructure and Applications; Foundations for Smar Rashid Mehmood,Simon See,Imrich Chlamtac Book 2020 Springer Nature Switzerland

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Enterprise Systems for Networked Smart Cities,y systems. Finally, we introduce partial least square regression, a structural equation modeling method to explore interrelationships between different interdisciplinary constructs and show its application to studying smart city systems. From the digital perspective of smart city, it may be conclude

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Automatic Detection and Validation of Smart City Events Using HPC and Apache Spark Platformstual, and conceptual events can be detected automatically by analyzing data. We find and locate congestion around London. We detect the occurrence of multiple events including “Underbelly Festival,” “The Luna Cinema” and “London Notting Hill Carnival 2017,” their locations and times, without any pri

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Hybrid Statistical and Machine Learning Methods for Road Traffic Prediction: A Review and Tutoriales that can be addressed, as well as the accuracy that can be achieved. This chapter gives a review of traffic flow prediction and modeling methods and discusses the limitations of each method. A review of the various types of transportation traffic data sources is provided. Notable big data analysi

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Comparison of Decision Trees and Deep Learning for Object Classification in Autonomous Drivingrformance comparison of deep learning and C5.0 decision tree classifier for object classification in driving environments using a bigger dataset. We manually label images from a subset of KITTI road dataset by using free-form selection (polygon) rather than a box or rectangular selection enabling hi