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Examining the Impact of Deep Learning and IoT on Multi-Industry Applications

and the supported interaction between human beings and their surroundings. Examining the Impact of Deep Learning and IoT on Multi-Industry;

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Hands-On Deep Learning for IoT

scale. Hands-On Deep Learning for IoT will provide deeper insights into IoT data, which will start by introducing how DL fits into the;

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Deep Learning and IoT in Healthcare Systems

describes deep learning techniques in conjunction with IoT used by practitioners and researchers worldwide. The authors explore the convergence;

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Blockchain of Things and Deep Learning Applications in Construction

the advantages of IoT and blockchain, and different applications were developed based on this integration in leading industries such as shared;

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Deep Learning for Internet of Things Infrastructure

posed by the implementation of deep learning on IoT networking models and services. It provides fundamental theory, model, and methodology;

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Artificial Intelligence for IoT Cookbook

Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data Key Features Discover;

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Digitising the Industry - Internet of Things Conne

technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster and the IoT European;

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Multimedia Technologies in the Internet of Things Environment

, multimedia communication, deep learning models to multimedia data and the new (IOT) approaches are also covered. It addresses the complete functional;

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Security Issues and Privacy Concerns in Industry 4.0 Applications

on par with advancements in the industry in the area of Industry 4.0 with its applications in additive manufacturing, cloud computing, IoT;

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Multimodal Scene Understanding

of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the;

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Convergence of Internet of Things and Blockchain Technologies

This book presents chapters from diverse range of authors on different aspects of how Blockchain and IoT are converging and the impacts;

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Dependable IoT for Human and Industry

of the IoT on society. Dependable IoT for Human and Industry covers the main aspects of Internet of Things and IoT based systems such as;

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Multimedia Technologies in the Internet of Things Environment, Volume 2

analysis. Further, multimedia communication, deep learning models to multimedia data, and the new (IOT) approaches are also covered. It addresses;

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Advances in Computational Collective Intelligence

: data mining and machine learning; deep learning and applications for industry 4.0; recommender systems; computer vision techniques; decision;

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Industry 4.0 Interoperability, Analytics, Security, and Case Studies

All over the world, vast research is in progress on the domain of Industry 4.0 and related techniques. Industry 4.0 is expected to have a;

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Advanced Deep Learning Applications in Big Data Analytics

develop new architecture and applications of deep learning algorithms in big data and the IoT. Highlighting a wide range of topics such as;

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Big Data Analytics for Cyber-Physical Systems

, optimization and decision-making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the;

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Applied Machine Learning for Smart Data Analysis

The book focuses on how machine learning and the Internet of Things (IoT) has empowered the advancement of information driven arrangements;

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IoT-Based Data Analytics for the Healthcare Industry

IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare;

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Artificial Intelligence Techniques for Advanced Computing Applications

(ICACT 2020), held at the SRM Institute of Science and Technology, Chennai, India, on 23-24 January 2020. It covers the areas of computational;

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Data Science and Intelligent Applications

learning, and intelligent applications and systems. Helping strengthen the links between academia and industry, the book offers a valuable resource;

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IoT Security Paradigms and Applications

innovations, research activities (both in academia and in industry), and the corresponding standardization impacts of 5G as well. Aimed at graduate;

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IoT Security Paradigms and Applications

innovations, research activities (both in academia and in industry), and the corresponding standardization impacts of 5G as well. Aimed at graduate;

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Hardware Architectures for Deep Learning

neural networks. The rapid growth of server, desktop, and embedded applications based on deep learning has brought about a;

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Advanced Security Issues of IoT Based 5G Plus Wireless Communication for Industry 4.0

solutions based on sensors, IoT devices, CPS, etc. will be minimizing energy costs and maximizing security issues of industry 4.0. The field;

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Internet of Things

-based applications. Its emphasis is on covering deep learning and similar models of neural network-based learning techniques employed in solving;

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Internet of Things (IoT)

solutions to the design and development of IoT platforms for multi-sector industries, particularly for Industry 4.0. The book also addresses some;

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