Titlebook: Machine Learning Techniques for Smart City Applications: Trends and Solutions; D. Jude Hemanth Book 2022 The Editor(s) (if applicable) and

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Applying Deep Learning to Predict Civic Purpose Development: Within the Smart City Context, purpose development during emerging adulthood. We tested whether deep learning more accurately predicted Wave 2 political purpose with Wave 1 predictors compared with traditional regression. A convolutional neural network consisting of two dense and dropout layers was trained to predict the outcome

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Convolution Neural Network Scheme for Detection of Electricity Theft in Smart Grids,cant changes to the conventional grid system to include RTU and intelligent AI-based framework for autonomous operation in real-time. The security issues in smart grid introduced threats to the secure operation of the grid. In this paper, an analysis of threats identified for electricity theft and s

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Classification and Tracking of Vehicles Using Videos Captured by Unmanned Aerial Vehicles,and excessive trip times. Intelligent Transport Systems (ITS) emerge as an important alternative to assist urban planning by monitoring the different urban road corridors. Traditionally, ITS use fixed camera systems which are sometimes insufficient to monitor and extend the traceability of the vehic

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