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Authors: Banafa, Ahmed (2023) - This book introduces the Internet of Things (IoT), which is the convergence of connecting people, things, data and processes; it is transforming our life, business and everything in between. By 2025, experts forecast that up to 75 billion devices will be connected to the Internet with only one third of them being computers, smartphones, smartwatches, and tablets.
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Authors: Gaur, Madhu Sharma (2023) - The book also discusses AI-driven automation of highly connected smart devices across the globe presenting the fast technological shift with the futuristic scenario, bursting perspective of IoT, computational intelligence, and security concerns. This book supports the transfer of vital knowledge to the next generation of researchers, students, and practitioners in academia and industry.
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Authors: Vien, Quoc-Tuan (2023) - The author provides a detailed step by step methodological approach to network design from the analysis of the initial network requirements to architecture design, modelling, simulation and evaluation, with a special focus on statistical and queuing models. The chapters are structured as a series of independent modules that can be combined for designing university courses. Practice exercises are given for selected chapters, and case studies will take the reader through the whole network design process.
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Authors: Gupta, M (2023) - This reference text focusses on estimating the performance, cost, and accommodation of the next generation technologies design for IoT, and modern health-care. It will be an ideal reference text for graduate students, academic researchers, and professionals in the fields of electrical, and electronics and communication engineering
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Authors: Ipsale, Maurizio (2023) - Google Cloud, the public cloud platform from Google, has a variety of networking options, which are instrumental in managing a networking architecture. This book will give you hands-on experience of implementing and securing networks in Google Cloud Platform (GCP).
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Authors: Doriya, Rajesh (2023) - This book aims to develop an understanding of image processing, networks, and data modeling by using various machine learning algorithms for a wide range of real-world applications. In addition to providing basic principles of data processing, this book teaches standard models and algorithms for data and image analysis.
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Authors: Goar, Vishal (2023) - The book covers ICT-based approaches in the areas of ICT for Energy Efficiency, Life Cycle Assessment of ICT, Green IT, Green Information Systems, Environmental Informatics, Energy Informatics, Sustainable HCI, or Computational Sustainability.
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Authors: Rai, Amrita (2023) - This book will be a valuable resource for academicians, researchers, and professionals working in artificial intelligence/machine learning and its applications in communication and 5G.
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Authors: Hrycej, Tomas (2023) - This textbook aims to point out the most important principles of data analysis from the mathematical point of view. Specifically, it selected these questions for exploring: Which are the principles necessary to understand the implications of an application, and which are necessary to understand the conditions for the success of methods used? Theory is presented only to the degree necessary to apply it properly, striving for the balance between excessive complexity and oversimplification. Its primary focus is on principles crucial for application success
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Authors: Perakovic, Dragan (2023) - This book provides a comprehensive exchange of information on current developments in the field of sustainable management of manufacturing systems and Industry 4.0. The authors’ ambition is to establish channels of communication and disseminate knowledge among professionals working in smart manufacturing and related institutions.
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