Artificial Intelligence for IoT Cookbook

Artificial Intelligence for IoT Cookbook
Author: Michael Roshak
Publsiher: Packt Publishing Ltd
Total Pages: 260
Release: 2021-03-05
ISBN: 1838986499
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence for IoT Cookbook Book Excerpt:

Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data Key FeaturesDiscover quick solutions to common problems that you'll face while building smart IoT applicationsImplement advanced techniques such as computer vision, NLP, and embedded machine learningBuild, maintain, and deploy machine learning systems to extract key insights from IoT dataBook Description Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users' lives easier. With this AI cookbook, you'll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You'll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you'll learn how to deploy models and improve their performance with ease. By the end of this book, you'll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems. What you will learnExplore various AI techniques to build smart IoT solutions from scratchUse machine learning and deep learning techniques to build smart voice recognition and facial detection systemsGain insights into IoT data using algorithms and implement them in projectsPerform anomaly detection for time series data and other types of IoT dataImplement embedded systems learning techniques for machine learning on small devicesApply pre-trained machine learning models to an edge deviceDeploy machine learning models to web apps and mobile using TensorFlow.js and JavaWho this book is for If you're an IoT practitioner looking to incorporate AI techniques to build smart IoT solutions without having to trawl through a lot of AI theory, this AI IoT book is for you. Data scientists and AI developers who want to build IoT-focused AI solutions will also find this book useful. Knowledge of the Python programming language and basic IoT concepts is required to grasp the concepts covered in this artificial intelligence book more effectively.

Hands On Artificial Intelligence for IoT

Hands On Artificial Intelligence for IoT
Author: Amita Kapoor
Publsiher: Packt Publishing Ltd
Total Pages: 390
Release: 2019-01-31
ISBN: 1788832760
Category: Computers
Language: EN, FR, DE, ES & NL

Hands On Artificial Intelligence for IoT Book Excerpt:

Build smarter systems by combining artificial intelligence and the Internet of Things—two of the most talked about topics today Key FeaturesLeverage the power of Python libraries such as TensorFlow and Keras to work with real-time IoT dataProcess IoT data and predict outcomes in real time to build smart IoT modelsCover practical case studies on industrial IoT, smart cities, and home automationBook Description There are many applications that use data science and analytics to gain insights from terabytes of data. These apps, however, do not address the challenge of continually discovering patterns for IoT data. In Hands-On Artificial Intelligence for IoT, we cover various aspects of artificial intelligence (AI) and its implementation to make your IoT solutions smarter. This book starts by covering the process of gathering and preprocessing IoT data gathered from distributed sources. You will learn different AI techniques such as machine learning, deep learning, reinforcement learning, and natural language processing to build smart IoT systems. You will also leverage the power of AI to handle real-time data coming from wearable devices. As you progress through the book, techniques for building models that work with different kinds of data generated and consumed by IoT devices such as time series, images, and audio will be covered. Useful case studies on four major application areas of IoT solutions are a key focal point of this book. In the concluding chapters, you will leverage the power of widely used Python libraries, TensorFlow and Keras, to build different kinds of smart AI models. By the end of this book, you will be able to build smart AI-powered IoT apps with confidence. What you will learnApply different AI techniques including machine learning and deep learning using TensorFlow and KerasAccess and process data from various distributed sourcesPerform supervised and unsupervised machine learning for IoT dataImplement distributed processing of IoT data over Apache Spark using the MLLib and H2O.ai platformsForecast time-series data using deep learning methodsImplementing AI from case studies in Personal IoT, Industrial IoT, and Smart CitiesGain unique insights from data obtained from wearable devices and smart devicesWho this book is for If you are a data science professional or a machine learning developer looking to build smart systems for IoT, Hands-On Artificial Intelligence for IoT is for you. If you want to learn how popular artificial intelligence (AI) techniques can be used in the Internet of Things domain, this book will also be of benefit. A basic understanding of machine learning concepts will be required to get the best out of this book.

Artificial Intelligence based Internet of Things Systems

Artificial Intelligence based Internet of Things Systems
Author: Souvik Pal,Debashis De,Rajkumar Buyya
Publsiher: Springer Nature
Total Pages: 509
Release: 2022-01-11
ISBN: 3030870596
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence based Internet of Things Systems Book Excerpt:

The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.

Internet of Things Artificial Intelligence and Blockchain Technology

Internet of Things  Artificial Intelligence and Blockchain Technology
Author: R.Lakshmana Kumar,Yichuan Wang,T. Poongodi,Agbotiname Lucky Imoize
Publsiher: Springer Nature
Total Pages: 341
Release: 2021-09-02
ISBN: 3030741508
Category: Computers
Language: EN, FR, DE, ES & NL

Internet of Things Artificial Intelligence and Blockchain Technology Book Excerpt:

This book explores the concepts and techniques of IoT, AI, and blockchain. Also discussed is the possibility of applying blockchain for providing security in various domains. The specific highlight of this book is focused on the application of integrated technologies in enhancing data models, better insights and discovery, intelligent predictions, smarter finance, smart retail, global verification, transparent governance, and innovative audit systems. The book allows both practitioners and researchers to share their opinions and recent research in the convergence of these technologies among academicians and industry people. The contributors present their technical evaluation and compare it with existing technologies. Theoretical explanation and experimental case studies related to real-time scenarios are also included. This book pertains to IT professionals, researchers and academicians working on fourth revolution technologies.

Transforming Management with AI Big Data and IoT

Transforming Management with AI  Big Data  and IoT
Author: Fadi Al-Turjman,Satya Prakash Yadav,Manoj Kumar,Vibhash Yadav,Thompson Stephan
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3030867498
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

Transforming Management with AI Big Data and IoT Book Excerpt:

This book discusses the effect that artificial intelligence (AI) and Internet of Things (IoT) have on industry. The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications. The book is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments. Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management; Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels; Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Recent Trends and Advances in Artificial Intelligence and Internet of Things
Author: Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
Publsiher: Springer Nature
Total Pages: 607
Release: 2019-11-19
ISBN: 3030326446
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Recent Trends and Advances in Artificial Intelligence and Internet of Things Book Excerpt:

This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.

Integrating Artificial Intelligence and IoT for Advanced Health Informatics

Integrating Artificial Intelligence and IoT for Advanced Health Informatics
Author: Carmela Comito
Publsiher: Springer Nature
Total Pages: 188
Release: 2022
ISBN: 3030911810
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

Integrating Artificial Intelligence and IoT for Advanced Health Informatics Book Excerpt:

The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.

IoT AI and Blockchain for NET

IoT  AI  and Blockchain for  NET
Author: Nishith Pathak,Anurag Bhandari
Publsiher: Apress
Total Pages: 308
Release: 2018-08-14
ISBN: 1484237099
Category: Computers
Language: EN, FR, DE, ES & NL

IoT AI and Blockchain for NET Book Excerpt:

Create applications using Industry 4.0. Discover how artificial intelligence (AI) and machine learning (ML) capabilities can be enhanced using the Internet of things (IoT) and secured using Blockchain, so your latest app can be not just smarter but also more connected and more secure than ever before. This book covers the latest easy-to-use APIs and services from Microsoft, including Azure IoT, Cognitive Services APIs, Blockchain as a Service (BaaS), and Machine Learning Studio. As you work through the book, you’ll get hands-on experience building an example solution that uses all of these technologies—an IoT suite for a smart healthcare facility. Hosted on Azure and networked using Azure IoT, the solution includes centralized patient monitoring, using Cognitive Services APIs for face detection, recognition, and tracking. Blockchain is used to create trust-based security and inventory management. Machine learning is used to create predictive solutions to proactively improve quality of life. By the end of the book, you’ll be confident creating richer and smarter applications using these technologies. What You’ll Learn Know the technologies underpinning Industry 4.0 and AI 2.0 Develop real-time solutions using IoT in Azure Bring the smart capabilities of AI 2.0 into your application using a simple API call Host and manage your solution on Azure Understand Blockchain as a Service Capture and analyze data on the fly Make predictions using existing data Who This Book Is For Novice and intermediate .NET developers and architects who want to learn what it takes to create a modern or next-generation application

Intelligence of Things AI IoT Based Critical Applications and Innovations

Intelligence of Things  AI IoT Based Critical Applications and Innovations
Author: Fadi Al-Turjman,Anand Nayyar,Ajantha Devi,Piyush Kumar Shukla
Publsiher: Springer Nature
Total Pages: 234
Release: 2021-10-28
ISBN: 303082800X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Intelligence of Things AI IoT Based Critical Applications and Innovations Book Excerpt:

This book presents recent technologies that explore artificial intelligence (AI) and its scope in Internet of Things (IoT) enabled areas for productivity and the betterment of society. The book aims at targeting audiences of several disciplines to share research, suggest solutions, and future trends in the field of AI using IoT. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both aspects to give a holistic understanding of the AI paradigm for IoT. The book focuses on timely topics related to the field of AI enabled IoT applications at large. The book consists of four major parts: fundamentals, theoretical discussion, critical applications, and the learning algorithms. These contents shall include the basics, types, tools, and techniques of AI. Finally, applications of AI enabled IoT in several areas are presented including health, security, climate change, agricultural engineering, bioinformatics, biomedicine, smart applications, natural language processing, social and economic implications of AI enabled IoT, as well as robotics, sustainability, risk management, seismic data processing, smart grid management, text analysis, security, privacy, and ethics.

AI and IoT Based Intelligent Automation in Robotics

AI and IoT Based Intelligent Automation in Robotics
Author: Ashutosh Kumar Dubey,Abhishek Kumar,S. Rakesh Kumar,N. Gayathri,Prasenjit Das
Publsiher: John Wiley & Sons
Total Pages: 432
Release: 2021-04-13
ISBN: 1119711207
Category: Computers
Language: EN, FR, DE, ES & NL

AI and IoT Based Intelligent Automation in Robotics Book Excerpt:

The 24 chapters in this book provides a deep overview of robotics and the application of AI and IoT in robotics. It contains the exploration of AI and IoT based intelligent automation in robotics. The various algorithms and frameworks for robotics based on AI and IoT are presented, analyzed, and discussed. This book also provides insights on application of robotics in education, healthcare, defense and many other fields which utilize IoT and AI. It also introduces the idea of smart cities using robotics.

Hybrid Artificial Intelligence and IoT in Healthcare

Hybrid Artificial Intelligence and IoT in Healthcare
Author: Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque
Publsiher: Springer Nature
Total Pages: 328
Release: 2021-07-22
ISBN: 9811629722
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Hybrid Artificial Intelligence and IoT in Healthcare Book Excerpt:

This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.

Machine Learning and IoT for Intelligent Systems and Smart Applications

Machine Learning and IoT for Intelligent Systems and Smart Applications
Author: Madhumathy P,M Vinoth Kumar,R. Umamaheswari
Publsiher: CRC Press
Total Pages: 242
Release: 2021-11-17
ISBN: 1000484963
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning and IoT for Intelligent Systems and Smart Applications Book Excerpt:

The fusion of AI and IoT enables the systems to be predictive, prescriptive, and autonomous, and this convergence has evolved the nature of emerging applications from being assisted to augmented, and ultimately to autonomous intelligence. This book discusses algorithmic applications in the field of machine learning and IoT with pertinent applications. It further discusses challenges and future directions in the machine learning area and develops understanding of its role in technology, in terms of IoT security issues. Pertinent applications described include speech recognition, medical diagnosis, optimizations, predictions, and security aspects. Features: Focuses on algorithmic and practical parts of the artificial intelligence approaches in IoT applications. Discusses supervised and unsupervised machine learning for IoT data and devices. Presents an overview of the different algorithms related to Machine learning and IoT. Covers practical case studies on industrial and smart home automation. Includes implementation of AI from case studies in personal and industrial IoT. This book aims at Researchers and Graduate students in Computer Engineering, Networking Communications, Information Science Engineering, and Electrical Engineering.

Intelligent Connectivity

Intelligent Connectivity
Author: Abdulrahman Yarali
Publsiher: John Wiley & Sons
Total Pages: 368
Release: 2021-12-28
ISBN: 1119685184
Category: Computers
Language: EN, FR, DE, ES & NL

Intelligent Connectivity Book Excerpt:

This book focuses on the fusion between the core technologies of the future – Artificial Intelligence (AI), 5G, and the Internet of Things (IoT), exploring how they can be mutually supportive. AI, IoT, and 5G are the pillars that lead digital transformation, and the combination of super-fast 5th generation networks with AI and IoT will usher in a new age of intelligent connectivity, particularly beneficial to transportation, logistics, education, healthcare, entertainment, public safety/security and industrial and manufacturing operations. The book will offer technical and economic insights about intelligent connectivity as a key part of transformation in the 4th industrial revolution. The reader (technical and non-technical) will benefit from a comprehensive discussion of Artificial Intelligence, 5G, IoT and machine-learning and how they are vital in the period of open-source programming and moderate cloud computing.

Artificial Intelligence Techniques in IoT Sensor Networks

Artificial Intelligence Techniques in IoT Sensor Networks
Author: Mohamed Elhoseny,K Shankar,Mohamed Abdel-Basset
Publsiher: CRC Press
Total Pages: 221
Release: 2020-12-18
ISBN: 1000318702
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Techniques in IoT Sensor Networks Book Excerpt:

Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), sensor networks and Internet of Things (IoT). This book is intended to develop a shared understanding of applications of AI techniques in the present and near term. The book maps the technical impacts of AI technologies, applications and their implications on the design of solutions for sensor networks. This text introduces researchers and aspiring academicians to the latest developments and trends in AI applications for sensor networks in a clear and well-organized manner. It is mainly useful for research scholars in sensor networks and AI techniques. In addition, professionals and practitioners working on the design of real-time applications for sensor networks may benefit directly from this book. Moreover, graduate and master’s students of any departments related to AI, IoT and sensor networks can find this book fascinating for developing expert systems or real-time applications. This book is written in a simple and easy language, discussing the fundamentals, which relieves the requirement of having early backgrounds in the field. From this expectation and experience, many libraries will be interested in owning copies of this work.

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems
Author: Pardeep Kumar,Ahmed Jabbar Obaid,Korhan Cengiz,Ashish Khanna,Valentina Emilia Balas
Publsiher: Springer Nature
Total Pages: 461
Release: 2021-08-23
ISBN: 3030766535
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems Book Excerpt:

This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry.

Convergence of Artificial Intelligence and the Internet of Things

Convergence of Artificial Intelligence and the Internet of Things
Author: George Mastorakis,Constandinos X. Mavromoustakis,Jordi Mongay Batalla,Evangelos Pallis
Publsiher: Springer Nature
Total Pages: 439
Release: 2020-05-06
ISBN: 3030449076
Category: Computers
Language: EN, FR, DE, ES & NL

Convergence of Artificial Intelligence and the Internet of Things Book Excerpt:

This book gathers recent research work on emerging Artificial Intelligence (AI) methods for processing and storing data generated by cloud-based Internet of Things (IoT) infrastructures. Major topics covered include the analysis and development of AI-powered mechanisms in future IoT applications and architectures. Further, the book addresses new technological developments, current research trends, and industry needs. Presenting case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoT networks, it strikes a good balance between theoretical and practical issues. It also provides technical/scientific information on various aspects of AI technologies, ranging from basic concepts to research grade material, including future directions. The book is intended for researchers, practitioners, engineers and scientists involved in the design and development of protocols and AI applications for IoT-related devices. As the book covers a wide range of mobile applications and scenarios where IoT technologies can be applied, it also offers an essential introduction to the field.

Artificial Intelligence and Internet of Things

Artificial Intelligence and Internet of Things
Author: Lalit Mohan Goyal,Tanzila Saba,Amjad Rehman,Souad Larabi-Marie-Sainte
Publsiher: CRC Press
Total Pages: 398
Release: 2021-08-25
ISBN: 1000386252
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Internet of Things Book Excerpt:

This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researchers and practitioners working in the information technology, computer science, and medical equipment manufacturing industry for products and services having basic- and high-level AI and IoT applications. The book is also a useful guide for academic researchers and students.

Artificial Intelligence in IoT

Artificial Intelligence in IoT
Author: Fadi Al-Turjman
Publsiher: Springer
Total Pages: 231
Release: 2019-02-12
ISBN: 3030041107
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence in IoT Book Excerpt:

This book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion. The aim of this book is hence to focus on both the algorithmic and practical parts of the artificial intelligence approaches in IoT applications that are enabled and supported by wireless sensor networks and cellular networks. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent wireless/wired enabling technologies. Includes the most up-to-date research and applications related to IoT artificial intelligence (AI); Provides new and innovative operational ideas regarding the IoT artificial intelligence that help advance the telecommunications industry; Presents AI challenges facing the IoT scientists and provides potential ways to solve them in critical daily life issues.

Artificial Intelligence to Solve Pervasive Internet of Things Issues

Artificial Intelligence to Solve Pervasive Internet of Things Issues
Author: Gurjit Kaur,Pradeep Tomar,Marcus Tanque
Publsiher: Academic Press
Total Pages: 428
Release: 2020-11-18
ISBN: 012819698X
Category: Science
Language: EN, FR, DE, ES & NL

Artificial Intelligence to Solve Pervasive Internet of Things Issues Book Excerpt:

Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others. Discusses intelligent techniques for the implementation of Artificial Intelligence in Internet of Things Prepared for researchers and specialists who are interested in the use and integration of IoT and Artificial Intelligence technologies

Convergence of Blockchain AI and IoT

Convergence of Blockchain  AI  and IoT
Author: R. Indrakumari,R.Lakshmana Kumar,B. Balusamy,Vijanth Sagayan Asirvadam
Publsiher: CRC Press
Total Pages: 206
Release: 2021-12-23
ISBN: 1000519406
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Convergence of Blockchain AI and IoT Book Excerpt:

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.