Titlebook: Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities; Designing for Sustai Panos M. Pardalos,Stamatina Th. Ra

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Planning and Management of Charging Facilities for Electric Vehicle Sharing,. However, charging an EV sharing fleet is still a challenge for business operators because of limited or costly access to charging facilities. In this chapter, we focus on how to charge a fleet to make EV sharing viable and profitable. Adopting the real data of car2go, we propose a queueing network

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Social Media-Based Intelligence for Disaster Response and Management in Smart Cities,nt in smart cities. We aim to develop a cloud-based big data framework that will enable us to utilize heterogeneous data sources and sophisticated machine learning techniques to gather, process, and integrate information intelligently to support emergency response to any disaster or crisis rapidly.

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Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities978-3-030-84459-2Series ISSN 1931-6828 Series E-ISSN 1931-6836

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Unbuildable Cities, the last few decades. Over this process, we question why architectural thinking in relation with new technological advancements has not yet combined forces to face pressing global challenges in public health and sustainability.

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https://doi.org/10.1007/978-3-642-37521-7rch of common characteristics, themes, and behaviors that define living, intelligent systems. Building on this theoretical foundation, we seek to establish the guiding principles behind a new bio-determinist paradigm for the future design and operations of complex urban systems (smart cities). We in