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theoretical background that lead to smart cities for the future New technologies and principles of research that can promote ideas of artificial;
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Smart Cities and Artificial Intelligence offers a comprehensive view of how cities are evolving as smart ecosystems through the convergence;
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Optimization; Artificial Intelligence, Advanced Visualization, and 3D Printing; Ethical & Legal Considerations for Artificial Intelligence;
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Internet of Things (CIoT) for smart cities, Artificial Intelligence applications for cognitive cities, and cognitive smart cities using big data;
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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth;
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Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and;
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sections, covering the following topics: Deep Learning and Applications; Smart Grid, Internet of Things, and Mobil Applications; Machine Learning;
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of storing electrical energy, in the context of sustainable development, in smart cities and smart transportation , and discuss multiple services;
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book is forIf you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial;
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. Topics include techniques and methods in artificial intelligence for making machines intelligent, machine learning in healthcare, using machine;
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trends in machine learning, Internet of things, and smart cities applications, with a focus on multi-disciplinary research in the area;
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Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved;
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contribution of artificial intelligence and machine learning in data-driven analytics of fluid flow in porous environments, including saline aquifers;
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contribution of artificial intelligence and machine learning in data-driven analytics of fluid flow in porous environments, including saline aquifers;
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optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these;
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optimum values and solutions for models such as artificial intelligence and machine learning. Research is a necessity for determining how these;
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to fundamental algorithms for computing and learning, large-scale optimizations, control theory for large-scale systems Explorations;
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. The third focus is on crowdsourcing (CS) and computing for smart cities. this section discusses how CS via GPS devices, GIS tools, traffic;
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reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.;
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to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the;
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to use them are benefiting at the expense of their rivals. Artificial Intelligence and Machine Learning for Business cuts through the;
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, aimed at improving key aspects of real life, including major challenges such as the development of smart cities, smart buildings, smart grids;
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in smart cities operation, smart energy systems, and intelligent transportation networks. It paves the way for researchers working on optimization;
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programming, global optimization, machine learning, and artificial intelligence and describe advanced ideas, technologies, methods, and applications;
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This book constitutes the post-conference proceedings of the 4th International Conference on Machine Learning, Optimization, and Data;
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. The papers cover topics in the field of machine learning, artificial intelligence, reinforcement learning, computational optimization and data;
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multi-objective and dynamic optimization, intelligent multimedia systems, virtualization and AI applications, smart scheduling, intelligent;
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