Iot Big Data And Ai For Improving Quality Of Everyday Life Present And Future Challenges

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IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges

Pradeep Kumar Singh,Sławomir T. Wierzchoń,Wiesław Pawłowski,Arpan Kumar Kar,Yugal Kumar
IoT Big Data and AI for Improving Quality of Everyday Life Present and Future Challenges Book PDF

Author : Pradeep Kumar Singh,Sławomir T. Wierzchoń,Wiesław Pawłowski,Arpan Kumar Kar,Yugal Kumar
Publisher : Springer Nature
Page : 386 pages
File Size : 47,7 Mb
Release : 2023-08-23
Category : Computers
ISBN : 9783031357831

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IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges by Pradeep Kumar Singh,Sławomir T. Wierzchoń,Wiesław Pawłowski,Arpan Kumar Kar,Yugal Kumar Pdf

This book focuses mainly on the usages of three key technologies: IoT, big data, and AI for various day to day applications. Further, it explores the possibilities of future research based on the usages of latest information systems. This book explores the current research and challenges to be faced by different researchers for building intelligent information solutions using key technologies; IoT, big data, and AI in improving quality of lives in smart cities and explores the limitations and capabilities of these three key computing technologies. The book is organized into three major parts; each part includes chapters exploring a specific topic, and there are: PART-1: IoT for Real World Solutions , (ii) Part-2: Big Data And Cloud Computing for Innovative Solutions For Day to Day Lives, and (iii) Part-3 Artificial Intelligence for Everyday Lives. This book may be useful to the scientists, scholars, and researchers who are working in the field of computer science and engineering, and communication engineering, along with the students in these subjects who are working or willing to work on IoT, big data, and AI technologies for improving quality of everyday life. Specialists as well as student readers find the book chapters encouraging and helpful. IoT, data science & cloud, and AI all are the undergraduate (UG/ bachelor) subjects. Use of these three key technologies for building new applications for better world is helpful for UG and postgraduate (PG/ MS) Programmes students (as an elective and core course). This book may also be very useful for the Ph.D. (research scholars) during their course work and may be used as an instrument to identify the different challenges associated with information systems.

AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications

Khang, Alex
AI Driven Innovations in Digital Healthcare Emerging Trends Challenges and Applications Book PDF

Author : Khang, Alex
Publisher : IGI Global
Page : 393 pages
File Size : 55,8 Mb
Release : 2024-02-09
Category : Medical
ISBN : 9798369332191

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AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications by Khang, Alex Pdf

Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are soaring, and the deluge of medical data is overwhelming traditional healthcare systems. It is within this challenging environment that AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications emerges as a beacon of insight and practical solutions. The traditional healthcare framework is struggling to keep pace with the diverse demands of patients and the ever-expanding volume of medical data. As diseases become more intricate, attempts to provide timely identification and precise treatment of ailments become increasingly elusive. The urgency for a paradigm shift in healthcare delivery is emphasized by the critical need for early interventions, particularly in disease prediction. This challenge necessitates a holistic approach that harnesses the power of artificial intelligence (AI) and innovative technologies to steer healthcare toward a more responsive and patient-centric future.

Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT)

Hassan, Ahdi,Bhattacharya, Pronaya,Tikadar, Subrata,Dutta, Pushan Kumar,Sagayam, Martin
Lightweight Digital Trust Architectures in the Internet of Medical Things IoMT Book PDF

Author : Hassan, Ahdi,Bhattacharya, Pronaya,Tikadar, Subrata,Dutta, Pushan Kumar,Sagayam, Martin
Publisher : IGI Global
Page : 471 pages
File Size : 43,9 Mb
Release : 2024-05-17
Category : Medical
ISBN : 9798369321102

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Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) by Hassan, Ahdi,Bhattacharya, Pronaya,Tikadar, Subrata,Dutta, Pushan Kumar,Sagayam, Martin Pdf

In the field of healthcare technology, the Internet of Medical Things (IoMT) stands at the forefront of progress, revolutionizing patient care through advanced monitoring and treatment modalities. However, this digital transformation brings forth a new challenge— the vulnerability of sensitive medical data to cyber threats. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) examines ways to fortify IoMT against potential breaches through the exploration of these trust architectures. Delving deep into data privacy technologies, the book examines the implications of regulatory frameworks such as GDPR, HIPAA, and cybersecurity law. It assesses traditional security methods and considers innovative approaches, offering insights into certificate generation, digital identification, and the optimization of network protocols for secure data transmission.Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) illuminates the path forward for IoMT security. Its objectives are multi-faceted: from unraveling the intricacies of the health chain to dissecting the role of lightweight cryptographic key agreement mechanisms in safeguarding medical data. The book grapples with the challenges and advantages of implementing compact cryptographic techniques in healthcare, particularly within the decentralized framework of IoMT. By exploring the potential of Federated Learning (FL) in bolstering privacy and improving healthcare outcomes, the book aims to equip researchers, healthcare professionals, and IT experts with valuable knowledge. Through real-world case studies, it endeavors to pave the way for a future where security and efficiency seamlessly integrate in IoMT.

Agriculture-Centric Computation

Mukesh Kumar Saini,Neeraj Goel,Hanumant Singh Shekhawat,Jaime Lloret Mauri,Dhananjay Singh
Agriculture Centric Computation Book PDF

Author : Mukesh Kumar Saini,Neeraj Goel,Hanumant Singh Shekhawat,Jaime Lloret Mauri,Dhananjay Singh
Publisher : Springer Nature
Page : 265 pages
File Size : 48,5 Mb
Release : 2023-10-28
Category : Computers
ISBN : 9783031436055

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Agriculture-Centric Computation by Mukesh Kumar Saini,Neeraj Goel,Hanumant Singh Shekhawat,Jaime Lloret Mauri,Dhananjay Singh Pdf

This book constitutes revised selected papers from the First International Conference on Agriculture-Centric Computation, ICA 2023, held in Chandigarh, India, in May 2023. The 18 papers were thoroughly reviewed and selected from the 52 submissions. They examine how computing disciplines such as big data analytics, artificial intelligence, machine learning, the Internet of Things (IoT), remote sensing, robotics, and drones can be applied to agriculture to address some of the biggest challenges facing the industry today, including climate change, food security, and environmental sustainability.

Artificial Intelligence in Healthcare

Adam Bohr,Kaveh Memarzadeh
Artificial Intelligence in Healthcare Book PDF

Author : Adam Bohr,Kaveh Memarzadeh
Publisher : Academic Press
Page : 385 pages
File Size : 45,8 Mb
Release : 2020-06-21
Category : Computers
ISBN : 9780128184394

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Artificial Intelligence in Healthcare by Adam Bohr,Kaveh Memarzadeh Pdf

Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Food Science and Technology

Oluwatosin Ademola Ijabadeniyi
Food Science and Technology Book PDF

Author : Oluwatosin Ademola Ijabadeniyi
Publisher : Walter de Gruyter GmbH & Co KG
Page : 418 pages
File Size : 45,5 Mb
Release : 2023-11-06
Category : Technology & Engineering
ISBN : 9783111013480

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Food Science and Technology by Oluwatosin Ademola Ijabadeniyi Pdf

Food Science and Technology: Fundamentals and Innovation presents the aspects of microbiology, chemistry, nutrition, and process engineering required for the successful selection, preservation, processing, packaging, and distribution of quality food. It is a valuable resource for researchers and students in food science & technology and food industry professionals and entrepreneurs. There are two new chapters in the 2nd Ed. COVID-19 and food supply chain as well as climate-smart food science.

Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy
Internet of Things and Big Data Analytics Toward Next Generation Intelligence Book PDF

Author : Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy
Publisher : Springer
Page : 549 pages
File Size : 55,8 Mb
Release : 2017-08-14
Category : Technology & Engineering
ISBN : 9783319604350

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Internet of Things and Big Data Analytics Toward Next-Generation Intelligence by Nilanjan Dey,Aboul Ella Hassanien,Chintan Bhatt,Amira S. Ashour,Suresh Chandra Satapathy Pdf

This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.

Convergence of Blockchain, AI, and IoT

R. Indrakumari,R.Lakshmana Kumar,B. Balusamy,Vijanth Sagayan Asirvadam
Convergence of Blockchain AI and IoT Book PDF

Author : R. Indrakumari,R.Lakshmana Kumar,B. Balusamy,Vijanth Sagayan Asirvadam
Publisher : CRC Press
Page : 206 pages
File Size : 49,6 Mb
Release : 2021-12-23
Category : Technology & Engineering
ISBN : 9781000519327

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Convergence of Blockchain, AI, and IoT by R. Indrakumari,R.Lakshmana Kumar,B. Balusamy,Vijanth Sagayan Asirvadam Pdf

Convergence of Blockchain, AI, and IoT: Concepts and Challenges discusses the convergence of three powerful technologies that play into the digital revolution and blur the lines between biological, digital, and physical objects. This book covers novel algorithms, solutions for addressing issues in applications, security, authentication, and privacy. The book provides an overview of the clinical scientific research enabling smart diagnosis equipment through AI. It presents the role these technologies play in augmented reality and blockchain, covers digital currency managed with bitcoin, and discusses deep learning and how it can enhance human thoughts and behaviors. Targeted audiences range from those interested in the technical revolution of blockchain, big data and the Internet of Things, to research scholars and the professional market.

IoT and IoE Driven Smart Cities

Samarendra Nath Sur,Valentina Emilia Balas,Akash Kumar Bhoi,Anand Nayyar
IoT and IoE Driven Smart Cities Book PDF

Author : Samarendra Nath Sur,Valentina Emilia Balas,Akash Kumar Bhoi,Anand Nayyar
Publisher : Springer Nature
Page : 328 pages
File Size : 41,6 Mb
Release : 2021-12-15
Category : Technology & Engineering
ISBN : 9783030827151

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IoT and IoE Driven Smart Cities by Samarendra Nath Sur,Valentina Emilia Balas,Akash Kumar Bhoi,Anand Nayyar Pdf

This book provides detail on applying Internet of Things (IoT) and Internet of Everything (IoE) in smart cities and their design aspects related to physical and network layer models. The authors explore the possibilities of utilizing communication technologies like multi-input multi-output (MIMO), narrow-band IoT (NB-IoT), ultra-reliable low latency communications (URLLC), enhanced mobile broadband (eMBB), and massive machine-type communications (mMTC) for successful implementation of the IoT/IoE. The authors also address the development and advancement in cloud computing to support IoT and IoE. Research on the challenges and future predictions for efficiently implementing and exploring the benefits of smart cities are also explored. The book pertains to researchers, academics, and professionals in the field. Discusses the applicability of Internet of Things (IoT) and Internet of Everything (IoE) for smart cities; Addresses different protocols, networks, and technologies related to the implementation of IoT and IoE for smart cities; Provides a detailed overview on the physical and network layer design and signal processing algorithms related to IoT and IoE.

Fog Data Analytics for IoT Applications

Sudeep Tanwar
Fog Data Analytics for IoT Applications Book PDF

Author : Sudeep Tanwar
Publisher : Springer Nature
Page : 501 pages
File Size : 47,9 Mb
Release : 2020-08-25
Category : Technology & Engineering
ISBN : 9789811560446

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Fog Data Analytics for IoT Applications by Sudeep Tanwar Pdf

This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDA in IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.

Big Data Analytics

Sanjay Madria,Philippe Fournier-Viger,Sanjay Chaudhary,P. Krishna Reddy
Big Data Analytics Book PDF

Author : Sanjay Madria,Philippe Fournier-Viger,Sanjay Chaudhary,P. Krishna Reddy
Publisher : Springer Nature
Page : 466 pages
File Size : 42,5 Mb
Release : 2019-12-12
Category : Computers
ISBN : 9783030371883

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Big Data Analytics by Sanjay Madria,Philippe Fournier-Viger,Sanjay Chaudhary,P. Krishna Reddy Pdf

This book constitutes the refereed proceedings of the 7th International Conference on Big Data analytics, BDA 2019, held in Ahmedabad, India, in December 2019. The 25 papers presented in this volume were carefully reviewed and selected from 53 submissions. The papers are organized in topical sections named: big data analytics: vision and perspectives; search and information extraction; predictive analytics in medical and agricultural domains; graph analytics; pattern mining; and machine learning.

Advances in Deep Learning Applications for Smart Cities

Kumar, Rajeev,Dwivedi, Rakesh Kumar
Advances in Deep Learning Applications for Smart Cities Book PDF

Author : Kumar, Rajeev,Dwivedi, Rakesh Kumar
Publisher : IGI Global
Page : 335 pages
File Size : 43,6 Mb
Release : 2022-05-13
Category : Political Science
ISBN : 9781799897125

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Advances in Deep Learning Applications for Smart Cities by Kumar, Rajeev,Dwivedi, Rakesh Kumar Pdf

Within the past decade, technology has grown exponentially, and governments have promoted smart cities. Emerging smart cities have become both crucibles and showrooms for the practical application of the internet of things (IoT), cloud computing, and the integration of big data into everyday life. This complex concoction requires new thinking of the synergistic utilization of deep learning and blockchain methods and data-driven decision making with automation infrastructure, autonomous transportation, and more. Advances in Deep Learning Applications for Smart Cities provides a global perspective on current and future trends concerning the integration of deep learning and blockchain for smart cities. It provides valuable insights on the best practices and success factors for smart cities. Covering topics such as digital healthcare, object detection methods, and power consumption, this book is an excellent reference for researchers, scientists, libraries, industry experts, government organizations, students and educators of higher education, business professionals, communication and marketing agencies, entrepreneurs, and academicians.

Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence

Hiran, Kamal Kant,Hemachandran, K.,Pise, Anil,Rabi, B. Justus
Handbook of Research on AI and Knowledge Engineering for Real Time Business Intelligence Book PDF

Author : Hiran, Kamal Kant,Hemachandran, K.,Pise, Anil,Rabi, B. Justus
Publisher : IGI Global
Page : 383 pages
File Size : 53,6 Mb
Release : 2023-04-04
Category : Business & Economics
ISBN : 9781668465202

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Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence by Hiran, Kamal Kant,Hemachandran, K.,Pise, Anil,Rabi, B. Justus Pdf

Artificial intelligence (AI) is influencing the future of almost every sector and human being. AI has been the primary driving force behind emerging technologies such as big data, blockchain, robots, and the internet of things (IoT), and it will continue to be a technological innovator for the foreseeable future. New algorithms in AI are changing business processes and deploying AI-based applications in various sectors. The Handbook of Research on AI and Knowledge Engineering for Real-Time Business Intelligence is a comprehensive reference that presents cases and best practices of AI and knowledge engineering applications on business intelligence. Covering topics such as deep learning methods, face recognition, and sentiment analysis, this major reference work is a dynamic resource for business leaders and executives, IT managers, AI scientists, students and educators of higher education, librarians, researchers, and academicians.

International Conference on Innovative Computing and Communications

Deepak Gupta,Ashish Khanna,Aboul Ella Hassanien,Sameer Anand,Ajay Jaiswal
International Conference on Innovative Computing and Communications Book PDF

Author : Deepak Gupta,Ashish Khanna,Aboul Ella Hassanien,Sameer Anand,Ajay Jaiswal
Publisher : Springer Nature
Page : 772 pages
File Size : 53,6 Mb
Release : 2022-11-07
Category : Technology & Engineering
ISBN : 9789811936791

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International Conference on Innovative Computing and Communications by Deepak Gupta,Ashish Khanna,Aboul Ella Hassanien,Sameer Anand,Ajay Jaiswal Pdf

This book includes high-quality research papers presented at the Fifth International Conference on Innovative Computing and Communication (ICICC 2022), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on February 19–20, 2022. Introducing the innovative works of scientists, professors, research scholars, students and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

Big Data Analytics for Internet of Things

Tausifa Jan Saleem,Mohammad Ahsan Chishti
Big Data Analytics for Internet of Things Book PDF

Author : Tausifa Jan Saleem,Mohammad Ahsan Chishti
Publisher : John Wiley & Sons
Page : 400 pages
File Size : 55,9 Mb
Release : 2021-03-23
Category : Mathematics
ISBN : 9781119740766

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Big Data Analytics for Internet of Things by Tausifa Jan Saleem,Mohammad Ahsan Chishti Pdf

BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.