Titlebook: Machine Learning for Smart Environments/Cities; An IoT Approach Gon?alo Marques,Alfonso González-Briones,José Manu Book 2022 The Editor(s)

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IoT Regulated Water Quality Prediction Through Machine Learning for Smart Environmentsedict this quality index using 3 machine learning algorithms-Decision Tree, Random Forest, and Deep Neural Networks. The evaluation metrics consist of RMSE, MAD, MAPE, and R squared value to identify and determine the model with the best performance.

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The Power of Augmented Reality for Smart Environments: An Explorative Analysis of the Business Procene stores, operational rooms, and manufacturing and maintenance departments. The evidence from this study suggests that companies should analyze changes brought by augmented reality about the business process and redesign process to ensure a beneficial impact on the whole business.

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Intelligent Techniques for Optimization, Modelling and Control of Power Management Systems Efficienchm to detect the operation mode based on intelligent techniques has been developed and implemented. This intelligent model is able to differentiate between the two operation modes, hard-switching (HS) and soft-switching (SS). The obtained results provide high accuracy in the detection, making possib

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Machine Learning Applications and Security Analysis in Smart Cities forecasts, adequate transportation, smart parking, smart hotel, and smart health systems stand out as the most frequently used applications. While smart cities are designed to increase productivity and efficiency, neglecting security poses serious risks. In this chapter, the security risks of machi

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Recent Developments of Deep Learning in Future Smart Cities: A Review, patterns understanding, and data prediction. Besides, DL has caught the interest of every researcher around the world, and it has delivered remarkable results in comparison to the current standard techniques. This chapter aims to explore the recent development of DL techniques for the evolution of

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Smart and Sustainable Cities in Collaboration with ,: The Singapore Success Caseepts, it is necessary to apply for an introductory contextualized conceptual review on Smart and Sustainable Cities, and then characterize them from the establishment of broad categories with their respective subcategories: Smart Mobility (Mobility Integration, Sustainable Public Transport Service,