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New Trends And Applications In Internet Of Things Iot And Big Data Analytics


New Trends And Applications In Internet Of Things Iot And Big Data Analytics
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New Trends And Applications In Internet Of Things Iot And Big Data Analytics


New Trends And Applications In Internet Of Things Iot And Big Data Analytics
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Author : Rohit Sharma
language : en
Publisher: Springer Nature
Release Date : 2022-05-16

New Trends And Applications In Internet Of Things Iot And Big Data Analytics written by Rohit Sharma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-16 with Technology & Engineering categories.


This book focuses on the use of The Internet of Things (IoT) and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. IoT and big data emerged from the early 2000s data boom, driven forward by many of the early internet and technology companies. The Internet of Things (IoT) is an interconnection of several devices, networks, technologies, and human resources to achieve a common goal. There are a variety of IoT-based applications being used in different sectors and have succeeded in providing huge benefits to the users. The generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends to adopt the data analytics to strengthen solutions. The success of IoT depends upon the influential association of big data analytics. New technologies like search engines, mobile devices, and industrial machines provided as much data as companies could handle—and the scale continues to grow. In a study conducted by IDC, the market intelligence firm estimated that the global production of data would grow 10x between 2015 and 2020. So, the proposed book covers up all the aspects in the field discuss above.



Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics


Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics
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Author : Taser, Pelin Yildirim
language : en
Publisher: IGI Global
Release Date : 2021-11-05

Emerging Trends In Iot And Integration With Data Science Cloud Computing And Big Data Analytics written by Taser, Pelin Yildirim and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-05 with Computers categories.


The internet of things (IoT) has emerged to address the need for connectivity and seamless integration with other devices as well as big data platforms for analytics. However, there are challenges that IoT-based applications face including design and implementation issues; connectivity problems; data gathering, storing, and analyzing in cloud-based environments; and IoT security and privacy issues. Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics is a critical reference source that provides theoretical frameworks and research findings on IoT and big data integration. Highlighting topics that include wearable sensors, machine learning, machine intelligence, and mobile computing, this book serves professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. It is therefore of most value to data scientists, computer scientists, data analysts, IT specialists, academicians, professionals, researchers, and students working in the field of information and knowledge management in various disciplines that include but are not limited to information and communication sciences, administrative sciences and management, education, sociology, computer science, etc. Moreover, the book provides insights and supports executives concerned with the management of expertise, knowledge, information, and organizational development in different types of work communities and environments.



Emerging Trends And Applications Of The Internet Of Things


Emerging Trends And Applications Of The Internet Of Things
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Author : Kocovic, Petar
language : en
Publisher: IGI Global
Release Date : 2017-03-16

Emerging Trends And Applications Of The Internet Of Things written by Kocovic, Petar and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-16 with Computers categories.


The widespread availability of technologies has increased exponentially in recent years. This ubiquity has created more connectivity and seamless integration among technology devices. Emerging Trends and Applications of the Internet of Things is an essential reference publication featuring the latest scholarly research on the surge of connectivity between computing devices in modern society, as well as the benefits and challenges of this. Featuring extensive coverage on a broad range of topics such as cloud computing, spatial cognition, and ultrasonic sensing, this book is ideally designed for researchers, professionals, and academicians seeking current research on upcoming advances in the Internet of Things (IoT).



Smart Sustainable Cities Of The Future


Smart Sustainable Cities Of The Future
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Author : Simon Elias Bibri
language : en
Publisher: Springer
Release Date : 2019-01-11

Smart Sustainable Cities Of The Future written by Simon Elias Bibri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-11 with Political Science categories.


This book is intended to help explore the field of smart sustainable cities in its complexity, heterogeneity, and breadth, the many faces of a topical subject of major importance for the future that encompasses so much of modern urban life in an increasingly computerized and urbanized world. Indeed, sustainable urban development is currently at the center of debate in light of several ICT visions becoming achievable and deployable computing paradigms, and shaping the way cities will evolve in the future and thus tackle complex challenges. This book integrates computer science, data science, complexity science, sustainability science, system thinking, and urban planning and design. As such, it contains innovative computer–based and data–analytic research on smart sustainable cities as complex and dynamic systems. It provides applied theoretical contributions fostering a better understanding of such systems and the synergistic relationships between the underlying physical and informational landscapes. It offers contributions pertaining to the ongoing development of computer–based and data science technologies for the processing, analysis, management, modeling, and simulation of big and context data and the associated applicability to urban systems that will advance different aspects of sustainability. This book seeks to explicitly bring together the smart city and sustainable city endeavors, and to focus on big data analytics and context-aware computing specifically. In doing so, it amalgamates the design concepts and planning principles of sustainable urban forms with the novel applications of ICT of ubiquitous computing to primarily advance sustainability. Its strength lies in combining big data and context–aware technologies and their novel applications for the sheer purpose of harnessing and leveraging the disruptive and synergetic effects of ICT on forms of city planning that are required for future forms of sustainable development. This is because the effects of such technologies reinforce one another as to their efforts for transforming urban life in a sustainable way by integrating data–centric and context–aware solutions for enhancing urban systems and facilitating coordination among urban domains. This timely and comprehensive book is aimed at a wide audience across science, academia industry, and policymaking. It provides the necessary material to inform relevant research communities of the state–of–the–art research and the latest development in the area of smart sustainable urban development, as well as a valuable reference for planners, designers, strategists, and ICT experts who are working towards the development and implementation of smart sustainable cities based on big data analytics and context–aware computing.



Ai Models For Blockchain Based Intelligent Networks In Iot Systems


Ai Models For Blockchain Based Intelligent Networks In Iot Systems
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Author : Bharat Bhushan
language : en
Publisher: Springer Nature
Release Date : 2023-06-08

Ai Models For Blockchain Based Intelligent Networks In Iot Systems written by Bharat Bhushan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-08 with Computers categories.


The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.



Computing For Data Analysis Theory And Practices


Computing For Data Analysis Theory And Practices
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Author : Sanjay Chakraborty
language : en
Publisher: Springer Nature
Release Date : 2023-02-04

Computing For Data Analysis Theory And Practices written by Sanjay Chakraborty and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-04 with Technology & Engineering categories.


This book covers various cutting-edge computing technologies and their applications over data. It discusses in-depth knowledge on big data and cloud computing, quantum computing, cognitive computing, and computational biology with respect to different kinds of data analysis and applications. In this book, authors describe some interesting models in the cloud, quantum, cognitive, and computational biology domains that provide some useful impact on intelligent data (emotional, image, etc.) analysis. They also explain how these computing technologies based data analysis approaches used for various real-life applications. The book will be beneficial for readers working in this area.



Mapping Human Data And Behavior With The Internet Of Behavior Iob


Mapping Human Data And Behavior With The Internet Of Behavior Iob
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Author : Chhabra, Gunjan
language : en
Publisher: IGI Global
Release Date : 2025-01-22

Mapping Human Data And Behavior With The Internet Of Behavior Iob written by Chhabra, Gunjan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Computers categories.


The Internet of Behavior (IoB) is reshaping industries by providing deeper insights into human actions, preferences, and decision-making patterns. By analyzing data from wearables, online interactions, and smart devices, IoB enables organizations to deliver highly personalized services, improve public health strategies, and optimize urban environments. This convergence of technology and behavioral science holds the potential to drive innovation across sectors, enhancing user experiences and operational efficiency. At the same time, the rapid growth of IoB raises important questions about data privacy, security, and ethical responsibility, highlighting the need for careful governance. As IoB continues to evolve, its impact on society will be profound, influencing everything from business practices to policy development. Mapping Human Data and Behavior With the Internet of Behavior (IoB) provides a comprehensive and practical resource to understanding, analyzing, and leveraging the IoB. It provides the knowledge and tools necessary to harness the transformative potential of IoB technologies while addressing the ethical and privacy considerations inherent in this field. Covering topics such as artificial intelligence (AI), neural networks, and performance evaluation, this book is an excellent resource for researchers, academicians, students, data scientists and analysts, IoT professionals, healthcare professionals, and more.



Decision Intelligence


Decision Intelligence
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Author : B. K. Murthy
language : en
Publisher: Springer Nature
Release Date : 2023-11-24

Decision Intelligence written by B. K. Murthy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-24 with Computers categories.


This book comprises the select peer-reviewed proceedings of the 3rd International Conference on Information Technology (InCITe-2023). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in decision intelligence, deep learning, machine learning, artificial intelligence, data science, and enabling technologies for IoT, blockchain, and other futuristic computational technologies. It covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks, and intelligence, decision-making, and modeling, information systems, and IT architectures. This book provides a valuable resource for those in academia and industry.



Augmented Wellness


Augmented Wellness
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Author : Ben Othman Soufiane
language : en
Publisher: Springer Nature
Release Date : 2025-04-17

Augmented Wellness written by Ben Othman Soufiane and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Medical categories.


This book is an essential resource that delves into the transformative potential of augmented reality (AR) and virtual reality (VR) within the healthcare industry. In a world where technology is continually reshaping the way we approach medical treatment, training, and education, this book provides a comprehensive exploration of how AR and VR technologies are becoming integral to the advancement of healthcare. It serves as a bridge between the rapidly evolving field of healthcare and the cutting-edge innovations in AR and VR, addressing the significant impact these technologies have on patient care, medical training, and the ethical considerations surrounding their use. The book has a broad audience, including healthcare professionals, students, and technology enthusiasts. It explores the practical applications of AR and VR in healthcare, highlighting their roles in patient education, pain management, telemedicine, and medical training. Additionally, the book delves into the ethical and regulatory considerations of integrating AR and VR into healthcare, sparking conversations around patient privacy and moral dilemmas. With real-world case studies and emerging technologies, "Augmented Wellness" provides readers with the knowledge to navigate the ever-changing landscape of augmented and virtual reality in healthcare. It is an invaluable resource for anyone seeking to understand, embrace, or innovate within this dynamic intersection of healthcare and technology. It ensures that healthcare transformation through AR and VR is beneficial and ethically responsible. This comprehensive book explores the vast and intricate universe of Virtual and Augmented Reality in healthcare. It delves into the multitude of ways in which these technologies are being harnessed todiagnose, treat, educate, and support patients. The aim is to provide an in-depth understanding of the present state and exciting potential future of VR and AR in the healthcare ecosystem. We have created a resource accessible to a broad audience, from healthcare professionals and technology enthusiasts to policymakers and students. The book offers a balanced blend of real-world case studies, expert insights, technical details, and practical applications, covering a wide range of topics, from using VR for pain management and physical therapy to AR's role in assisting surgeons during complex procedures.



Big Data Applications In Industry 4 0


Big Data Applications In Industry 4 0
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Author : P. Kaliraj
language : en
Publisher: CRC Press
Release Date : 2022-02-09

Big Data Applications In Industry 4 0 written by P. Kaliraj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-09 with Business & Economics categories.


Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development. Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems. Features An introduction to data science and the types of data analytics methods accessible today An overview of data integration concepts, methodologies, and solutions A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies The application of Industry 4.0 and Big Data in the field of education The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making