Optimal Localization of Internet of Things Nodes

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Publisher : Springer Nature
ISBN 13 : 3030880958
Total Pages : 129 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Optimal Localization of Internet of Things Nodes by : Sheetal N Ghorpade

Download or read book Optimal Localization of Internet of Things Nodes written by Sheetal N Ghorpade and published by Springer Nature. This book was released on 2021-11-16 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a practical resource for designing Internet of Things (IoT) networks and implementing IoT applications from the localization perspective. With the emergence of IoT, machine to machine communication, Industrial IoT, and other societal applications, many applications require knowledge of the exact location of mobile IoT nodes in real-time. As the IoT nodes have computational and energy limitations, it is a crucial research challenge to optimize the network's performance with the highest localization accuracy. Many researchers are working towards such localization problems. However, there is no single book available for the detailed study on IoT node localization. This book provides one-stop multidisciplinary solutions for IoT node localization, design requirements, challenges, constraints, available techniques, comparison, related applications, and future directions. Special features included are theory supported by algorithmic development, treatment of optimization techniques, and applications.

TinyML for Edge Intelligence in IoT and LPWAN Networks

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Publisher : Elsevier
ISBN 13 : 0443222037
Total Pages : 520 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis TinyML for Edge Intelligence in IoT and LPWAN Networks by : Bharat S Chaudhari

Download or read book TinyML for Edge Intelligence in IoT and LPWAN Networks written by Bharat S Chaudhari and published by Elsevier. This book was released on 2024-06-17 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently, Tiny Machine Learning (TinyML) has gained incredible importance due to its capabilities of creating lightweight machine learning (ML) frameworks aiming at low latency, lower energy consumption, lower bandwidth requirement, improved data security and privacy, and other performance necessities. As billions of battery-operated embedded IoT and low power wide area networks (LPWAN) nodes with very low on-board memory and computational capabilities are getting connected to the Internet each year, there is a critical need to have a special computational framework like TinyML. TinyML for Edge Intelligence in IoT and LPWAN Networks presents the evolution, developments, and advances in TinyML as applied to IoT and LPWANs. It starts by providing the foundations of IoT/LPWANs, low power embedded systems and hardware, the role of artificial intelligence and machine learning in communication networks in general and cloud/edge intelligence. It then presents the concepts, methods, algorithms and tools of TinyML. Practical applications of the use of TinyML are given from health and industrial fields which provide practical guidance on the design of applications and the selection of appropriate technologies. TinyML for Edge Intelligence in IoT and LPWAN Networks is highly suitable for academic researchers and professional system engineers, architects, designers, testers, deployment engineers seeking to design ultra-lower power and time-critical applications. It would also help in designing the networks for emerging and future applications for resource-constrained nodes. This book provides one-stop solutions for emerging TinyML for IoT and LPWAN applications. The principles and methods of TinyML are explained, with a focus on how it can be used for IoT, LPWANs, and 5G applications. Applications from the healthcare and industrial sectors are presented. Guidance on the design of applications and the selection of appropriate technologies is provided.

Machine Intelligence, Big Data Analytics, and IoT in Image Processing

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Publisher : John Wiley & Sons
ISBN 13 : 1119865042
Total Pages : 516 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Machine Intelligence, Big Data Analytics, and IoT in Image Processing by : Ashok Kumar

Download or read book Machine Intelligence, Big Data Analytics, and IoT in Image Processing written by Ashok Kumar and published by John Wiley & Sons. This book was released on 2023-03-28 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE INTELLIGENCE, BIG DATA ANALYTICS, AND IoT IN IMAGE PROCESSING Discusses both theoretical and practical aspects of how to harness advanced technologies to develop practical applications such as drone-based surveillance, smart transportation, healthcare, farming solutions, and robotics used in automation. The concepts of machine intelligence, big data analytics, and the Internet of Things (IoT) continue to improve our lives through various cutting-edge applications such as disease detection in real-time, crop yield prediction, smart parking, and so forth. The transformative effects of these technologies are life-changing because they play an important role in demystifying smart healthcare, plant pathology, and smart city/village planning, design and development. This book presents a cross-disciplinary perspective on the practical applications of machine intelligence, big data analytics, and IoT by compiling cutting-edge research and insights from researchers, academicians, and practitioners worldwide. It identifies and discusses various advanced technologies, such as artificial intelligence, machine learning, IoT, image processing, network security, cloud computing, and sensors, to provide effective solutions to the lifestyle challenges faced by humankind. Machine Intelligence, Big Data Analytics, and IoT in Image Processing is a significant addition to the body of knowledge on practical applications emerging from machine intelligence, big data analytics, and IoT. The chapters deal with specific areas of applications of these technologies. This deliberate choice of covering a diversity of fields was to emphasize the applications of these technologies in almost every contemporary aspect of real life to assist working in different sectors by understanding and exploiting the strategic opportunities offered by these technologies. Audience The book will be of interest to a range of researchers and scientists in artificial intelligence who work on practical applications using machine learning, big data analytics, natural language processing, pattern recognition, and IoT by analyzing images. Software developers, industry specialists, and policymakers in medicine, agriculture, smart cities development, transportation, etc. will find this book exceedingly useful.

Internet of Things

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Author :
Publisher : CRC Press
ISBN 13 : 1351651056
Total Pages : 572 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Internet of Things by : Qusay F. Hassan

Download or read book Internet of Things written by Qusay F. Hassan and published by CRC Press. This book was released on 2017-12-15 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet of Things: Challenges, Advances, and Applications provides a comprehensive introduction to IoT, related technologies, and common issues in the adoption of IoT on a large scale. It surveys recent technological advances and novel solutions for challenges in the IoT environment. Moreover, it provides detailed discussion of the utilization of IoT and its underlying technologies in critical application areas, such as smart grids, healthcare, insurance, and the automotive industry. The chapters of this book are authored by several international researchers and industry experts. This book is composed of 18 self-contained chapters that can be read, based on interest. Features: Introduces IoT, including its history, common definitions, underlying technologies, and challenges Discusses technological advances in IoT and implementation considerations Proposes novel solutions for common implementation issues Explores critical application domains, including large-scale electric power distribution networks, smart water and gas grids, healthcare and e-Health applications, and the insurance and automotive industries The book is an excellent reference for researchers and post-graduate students working in the area of IoT, or related areas. It also targets IT professionals interested in gaining deeper knowledge of IoT, its challenges, and application areas.

Internet of Things, Smart Spaces, and Next Generation Networks and Systems

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Author :
Publisher : Springer Nature
ISBN 13 : 3031609972
Total Pages : 411 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Internet of Things, Smart Spaces, and Next Generation Networks and Systems by : Yevgeni Koucheryavy

Download or read book Internet of Things, Smart Spaces, and Next Generation Networks and Systems written by Yevgeni Koucheryavy and published by Springer Nature. This book was released on with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Engineering Applications of Modern Metaheuristics

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Publisher : Springer Nature
ISBN 13 : 3031168321
Total Pages : 209 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Engineering Applications of Modern Metaheuristics by : Taymaz Akan

Download or read book Engineering Applications of Modern Metaheuristics written by Taymaz Akan and published by Springer Nature. This book was released on 2022-12-04 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of various methodologies that make it possible for metaheuristics and hyper-heuristics to solve problems that occur in the real world. This book contains chapters that make use of metaheuristics techniques. The application fields range from image processing to transmission power control, and case studies and literature reviews are included to assist the reader. Furthermore, some chapters present cutting-edge methods for load frequency control and IoT implementations. In this sense, the book offers both theoretical and practical contents in the form of metaheuristic algorithms. The researchers used several stochastic optimization methods in this book, including evolutionary algorithms and Swarm-based algorithms. The chapters were written from a scientific standpoint. As a result, the book is primarily aimed at undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics, but it can also be used in courses on Artificial Intelligence, among other things. Similarly, the material may be beneficial to research in evolutionary computation and artificial intelligence communities.

Internet of Things (IoT)

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Publisher : Springer Nature
ISBN 13 : 3030374688
Total Pages : 526 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Internet of Things (IoT) by : Mansaf Alam

Download or read book Internet of Things (IoT) written by Mansaf Alam and published by Springer Nature. This book was released on 2020-05-25 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This books objective is to explore the concepts and applications related to Internet of Things with the vision to identify and address existing challenges. Additionally, the book provides future research directions in this domain, and explores the different applications of IoT and its associated technologies. Studies investigate applications for crowd sensing and sourcing, as well as smart applications to healthcare solutions, agriculture and intelligent disaster management. This book will appeal to students, practitioners, industry professionals and researchers working in the field of IoT and its integration with other technologies to develop comprehensive solutions to real-life problems

Internet of Things, Smart Computing and Technology: A Roadmap Ahead

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Publisher : Springer Nature
ISBN 13 : 3030390470
Total Pages : 408 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Internet of Things, Smart Computing and Technology: A Roadmap Ahead by : Nilanjan Dey

Download or read book Internet of Things, Smart Computing and Technology: A Roadmap Ahead written by Nilanjan Dey and published by Springer Nature. This book was released on 2020-02-14 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. In turn, the book discusses IoT applications (e.g. healthcare applications) that generate a huge amount of sensor data and imaging data that must be handled correctly for further processing. In the traditional IoT ecosystem, cloud computing offers a solution for the efficient management of huge amounts of data, thanks to its ability to access shared resources and provide a common infrastructure in a ubiquitous manner. Though these new technologies are invaluable, they also reveal serious IoT security challenges. IoT applications are vulnerable to various types of attack such as eavesdropping, spoofing and false data injection, the man-in-the-middle attack, replay attack, denial-of-service attack, jamming attack, flooding attack, etc. These and other security issues in the Internet of things are explored in detail. In addition to highlighting outstanding research and recent advances from around the globe, the book reports on current challenges and future directions in the IoT. Accordingly, it offers engineers, professionals, researchers, and designers an applied-oriented resource to support them in a broad range of interdisciplinary areas.

Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2022)

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Publisher : Springer Nature
ISBN 13 : 3031311647
Total Pages : 643 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2022) by : Harish Sharma

Download or read book Proceedings of International Conference on Intelligent Vision and Computing (ICIVC 2022) written by Harish Sharma and published by Springer Nature. This book was released on 2023-04-30 with total page 643 pages. Available in PDF, EPUB and Kindle. Book excerpt: The conference proceedings book is a collection of high-quality research articles in the field of intelligent vision and computing. It also serves as a forum for researchers and practitioners from both academia and industry to meet and share their expertise and experience. It provides opportunities for academicians and scientists along with professionals, policymakers, and practitioners from various fields in a global realm to present their research contributions and views, on one forum and interact with members inside and outside their own particular disciplines.

Mobile Computing and Sustainable Informatics

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Publisher : Springer Nature
ISBN 13 : 9811618666
Total Pages : 875 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Mobile Computing and Sustainable Informatics by : Subarna Shakya

Download or read book Mobile Computing and Sustainable Informatics written by Subarna Shakya and published by Springer Nature. This book was released on 2021-07-22 with total page 875 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2021) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan University, Nepal, during 29–30 January 2021. The book discusses recent developments in mobile communication technologies ranging from mobile edge computing devices, to personalized, embedded and sustainable applications. The book covers vital topics like mobile networks, computing models, algorithms, sustainable models and advanced informatics that supports the symbiosis of mobile computing and sustainable informatics.

Machine Learning and Intelligent Communications

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Publisher : Springer
ISBN 13 : 3319734474
Total Pages : 681 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Machine Learning and Intelligent Communications by : Xuemai Gu

Download or read book Machine Learning and Intelligent Communications written by Xuemai Gu and published by Springer. This book was released on 2018-01-20 with total page 681 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two volume set constitutes the refereed post-conference proceedings of the Second International Conference on Machine Learning and Intelligent Communications, MLICOM 2017, held in Weihai, China, in August 2017. The 143 revised full papers were carefully selected from 225 submissions. The papers are organized thematically in machine learning, intelligent positioning and navigation, intelligent multimedia processing and security, intelligent wireless mobile network and security, cognitive radio and intelligent networking, intelligent internet of things, intelligent satellite communications and networking, intelligent remote sensing, visual computing and three-dimensional modeling, green communication and intelligent networking, intelligent ad-hoc and sensor networks, intelligent resource allocation in wireless and cloud networks, intelligent signal processing in wireless and optical communications, intelligent radar signal processing, intelligent cooperative communications and networking.

Cognitive Computing and Internet of Things

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Publisher : AHFE International
ISBN 13 : 1958651192
Total Pages : 144 pages
Book Rating : 4.9/5 (586 download)

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Book Synopsis Cognitive Computing and Internet of Things by : Lucas Paletta and Hasan Ayaz

Download or read book Cognitive Computing and Internet of Things written by Lucas Paletta and Hasan Ayaz and published by AHFE International. This book was released on 2022-07-24 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Computing and Internet of Things Proceedings of the 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022), July 24–28, 2022, New York, USA

Industrial IoT Technologies and Applications

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Publisher : Springer Nature
ISBN 13 : 3030710610
Total Pages : 231 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Industrial IoT Technologies and Applications by : Lourdes Peñalver

Download or read book Industrial IoT Technologies and Applications written by Lourdes Peñalver and published by Springer Nature. This book was released on 2021-03-10 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Industrial IoT Technologies and Applications, IoT 2020, held in December 2020. Due to Covid-19 pandemic the conference was held virtually. The widespread deployment of wireless sensor networks, clouds, industrial robot, embedded computing and inexpensive sensors has facilitated industrial Internet of Things (IndustrialIoT) technologies and fostered some emerging applications. The 14 carefully reviewed papers are a selection from 28 submissions and detail topics in the context of IoT for a smarter industry.

Applied Soft Computing and Communication Networks

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Publisher : Springer Nature
ISBN 13 : 9811538522
Total Pages : 268 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Applied Soft Computing and Communication Networks by : Sabu M. Thampi

Download or read book Applied Soft Computing and Communication Networks written by Sabu M. Thampi and published by Springer Nature. This book was released on 2020-04-30 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes best selected research papers presented at the International Applied Soft Computing and Communication Networks (ACN 2019) held in Trivandrum, Kerala, India during December 18 – 21, 2019. The papers are organized in topical sections on real time and multimedia communications, security and privacy, network management and software-defined networks, Internet of Things (IoT) and cyber-physical systems, intelligent distributed systems, mobile computing and vehicle communications, surveillance networks and visual intelligence, and emerging topics. The book is a reference for researchers and scientists engaged in various fields of intelligent systems.

Rethinking the Internet of Things

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Publisher : Apress
ISBN 13 : 1430257407
Total Pages : 185 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Rethinking the Internet of Things by : Francis daCosta

Download or read book Rethinking the Internet of Things written by Francis daCosta and published by Apress. This book was released on 2013-12-30 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apress is proud to announce that Rethinking the Internet of Things was a 2014 Jolt Award Finalist, the highest honor for a programming book. And the amazing part is that there is no code in the book. Over the next decade, most devices connected to the Internet will not be used by people in the familiar way that personal computers, tablets and smart phones are. Billions of interconnected devices will be monitoring the environment, transportation systems, factories, farms, forests, utilities, soil and weather conditions, oceans and resources. Many of these sensors and actuators will be networked into autonomous sets, with much of the information being exchanged machine-to-machine directly and without human involvement. Machine-to-machine communications are typically terse. Most sensors and actuators will report or act upon small pieces of information - "chirps". Burdening these devices with current network protocol stacks is inefficient, unnecessary and unduly increases their cost of ownership. This must change. The architecture of the Internet of Things must evolve now by incorporating simpler protocols toward at the edges of the network, or remain forever inefficient. Rethinking the Internet of Things describes reasons why we must rethink current approaches to the Internet of Things. Appropriate architectures that will coexist with existing networking protocols are described in detail. An architecture comprised of integrator functions, propagator nodes, and end devices, along with their interactions, is explored. What you’ll learn Discusses the difference between the "normal" Internet and the Internet of Things. Describes a new architecture and its components in the "chirp" context. Explains the shortcomings of IP for IoT. Describes the anatomy of the IoT. Describes how to build a suitable network to maximize the amazing potential of the IoT. Who this book is for Thought leaders, executives, architectural, standards and development leaders in the evolving IoT industry. Corporations and organizations whose commercial products could be adapted simply to be functioning devices on the IOT while saving billions of dollars in unnecessary costs or proprietary designs. Those who wish to capitalize on technology change and those interested in the Internet, its capabilities and the need to improve it. Table of ContentsForeword Preface Chapter Goal: The reader will understand the new demands and opportunities of the Internet of Things (IoT). The preface introduces the idea of a new, simplified architectural approach that draws on nature. Chapter 1: It's Different Out Here Chapter Goal: Reader should understand the difference between traditional Internet networking and the Internet of Things. What are the unique characteristics of the IoT that demand a new architecture? Why traditional architectures such as IP are a poor fit. Characteristics of an IoT-optimized architecture. Chapter 2: Anatomy of the Internet of Things Chapter Goal: Reader will understand the underlying principles of the emerging IoT architecture. Fundamental concepts are: the division of networking complexity among different devices; the make-up of the "Chirp" and how they are propagated; distinctions between transport and functional topologies; the concept of neighborhoods or zones of interest. Chapter 3: On the Edge Chapter Goal: Reader will learn the principles and characteristics of the End Devices in the IoT and how these will often differ from our present understanding of the Smartphone, tablet, and laptop. How the minimal networking needs of many IoT devices dictate elements of the architecture. Chapter 4: Building a Web of Things Chapter Goal: Reader will learn the characteristics and functionality of the Propagator node in the IoT Architecture. Some communications principles are introduced which will be more fully explored in Chapter 6. Chapter 5: Small Data, Big Data, and Human Interaction Chapter Goal: Reader will understand the role of Integrator functions in the IoT, the point in the IoT where humans interact to gain information from IoT data and to set parameters and control end devices. An explanation of zones of interest and neighborhoods, with a discussion of incorporating "small data" from chirps into big data analysis. Chapter 6: An Architecture for the Frontier Chapter Goal: Reader will gain an understanding of the challenges inherent in a communications architecture for the massive scale of the IoT. Exploiting the opportunities inherent in a machine-to-machine environment, a much simpler architecture is described in detail that readily scales to the required scope. This chapter adds technical depth to ideas introduced in Chapters 3-5. Chapter 7: IoT Examples and Applications Chapter Goal: Reader will learn about current and emerging applications in the Internet of Things. Reference wile b made to new applications enabled by the simpler architecture described in this book that are difficult or not possible with traditional networking protocols. Chapter 8: Blueprint to the Internet of Things Chapter Goal: Exploring the steps to IoT deployment. Standards based versus ad hoc approaches, call for industry cooperation and consortia. Intermediate incremental steps to broader adoption.

Advanced Deep Learning Applications in Big Data Analytics

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Author :
Publisher : IGI Global
ISBN 13 : 1799827933
Total Pages : 351 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Advanced Deep Learning Applications in Big Data Analytics by : Bouarara, Hadj Ahmed

Download or read book Advanced Deep Learning Applications in Big Data Analytics written by Bouarara, Hadj Ahmed and published by IGI Global. This book was released on 2020-10-16 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in big data has swelled within the scholarly community as has increased attention to the internet of things (IoT). Algorithms are constructed in order to parse and analyze all this data to facilitate the exchange of information. However, big data has suffered from problems in connectivity, scalability, and privacy since its birth. The application of deep learning algorithms has helped process those challenges and remains a major issue in today’s digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as artificial intelligence, cloud computing, and neural networks, this book is ideally designed for engineers, data analysts, data scientists, IT specialists, programmers, marketers, entrepreneurs, researchers, academicians, and students.

Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm

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Publisher : Springer Nature
ISBN 13 : 3030335968
Total Pages : 626 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm by : Sheng-Lung Peng

Download or read book Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm written by Sheng-Lung Peng and published by Springer Nature. This book was released on 2019-11-13 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the evolution of future-generation technologies through the Internet of things, bringing together all the related technologies on a single platform to offer valuable insights for undergraduate and postgraduate students, researchers, academics and industry practitioners. The book uses data, network engineering and intelligent decision- support system-by-design principles to design a reliable IoT-enabled ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes readers on a journey that begins with understanding the insight paradigm of IoT-enabled technologies and how it can be applied. It walks readers through engaging with real-time challenges and building a safe infrastructure for IoT-based, future-generation technologies. The book helps researchers and practitioners to understand the design architecture through IoT and the state of the art in IoT countermeasures. It also highlights the differences between heterogeneous platforms in IoT-enabled infrastructure and traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on functional frameworks for IoT, object identification, IoT domain model, RFID technology, wearable sensors, WBAN, IoT semantics, knowledge extraction, and security and privacy issues in IoT-based ecosystems. Written by leading international experts, it explores IoT-enabled insight paradigms, which are utilized for the future benefit of humans. It also includes references to numerous works. Divided into stand-alone chapters, this highly readable book is intended for specialists, researchers, graduate students, designers, experts, and engineers involved in research on healthcare-related issues.