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understand the demands imposed by such systems. Machine-to-Machine Communications: Architectures, Technology, Standards, and Applications offers;
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understand the demands imposed by such systems. Machine-to-Machine Communications: Architectures, Technology, Standards, and Applications offers;
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and current research developments to the technology aspects related to machine learning for wireless communications and networks. The;
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, Cybersecurity, Data Mining, Software Engineering, High Performance Computing Architectures, Computer Vision, Health, Bioinformatics, and Education.;
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and dynamic configuration; intelligent communications; intelligent positioning and navigation systems; smart unmanned vehicular technology;
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; enhanced mobility services with aeronautical and maritime applications; Machine to Machine (M2M) satellite applications; emerging ultra HD;
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data mining and data analysis technologies are effective approaches to solving wireless system evaluation and design issues;
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as system architectures and regulatory requirements. Real-world service use case studies provide the hands-on knowledge needed to;
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technologies are having on communication systems with this up-to-date and one-stop resource Communication Networks and Service Management in the;
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Reflecting the latest technology and tools of the trade, MATHEMATICS FOR MACHINE TECHNOLOGY, 7e provides the mathematical skills and;
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machine learning algorithms. Machine Learning with TensorFlow teaches readers about machine learning algorithms and how to implement;
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related to OO programming in telecommunications applications, this book offers both theoretical and practical aspects of OO technology. Readers;
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, classification, and clustering. As you master the core concepts, you'll explore three end-to-end projects that illustrate architectures, best design;
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Advances in computing, communications, and control have bridged the physical components of reality and cyberspace leading to the smart;
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technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts;
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programmers how to build and deploy scalable machine learning and deep learning models using serverless architectures with Microsoft Azure. You'll;
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, printing, and container industries. It describes systems that enable projects to move forward swiftly and efficiently, and focuses on the nuances;
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, printing, and container industries. It describes systems that enable projects to move forward swiftly and efficiently, and focuses on the nuances;
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most likely use cases, spectrum aspects, and a wide range of technology options to potential 5G system architectures, it is an indispensable;
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to skyrocket in the next few years, duplicating the recent explosion of wireless LANs. Wireless Sensor Networks: Architectures and;
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intelligence, Internet of Things (IoT), and 5G. It covers a broad range of topics, including Machine-to-Machine (M2M) architectures, edge computing;
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main results of the 11th International Conference on Computing and Information Technology (IC2IT) held during July 2nd-3rd, 2015;
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of failure and changes in load. But machine learning systems are different than other applications when it comes to testing, building, deploying, and;
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, services, architectures, applications and markets. It has a world-wide focus and includes information on the latest developments.;
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, and motion sensors. While these devices are always evolving, research is being done to further develop this technology to help detect and;
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Cyber Physical Systems: Architectures, Protocols and Applications helps you understand the basic principles and key supporting standards;
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/classification, object detection/recognition and robotic control in industrial environments. It highlights novel ways of using deep neural networks to;
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