Computational Intelligence In The Internet Of Things

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Computational Intelligence in the Internet of Things

Purnomo, Hindriyanto Dwi
Computational Intelligence in the Internet of Things Book PDF

Author : Purnomo, Hindriyanto Dwi
Publisher : IGI Global
Page : 342 pages
File Size : 43,5 Mb
Release : 2019-03-15
Category : Computers
ISBN : 9781522579564

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Computational Intelligence in the Internet of Things by Purnomo, Hindriyanto Dwi Pdf

In recent years, the need for smart equipment has increased exponentially with the upsurge in technological advances. To work to their fullest capacity, these devices need to be able to communicate with other devices in their network to exchange information and receive instructions. Computational Intelligence in the Internet of Things is an essential reference source that provides relevant theoretical frameworks and the latest empirical research findings in the area of computational intelligence and the Internet of Things. Featuring research on topics such as data analytics, machine learning, and neural networks, this book is ideally designed for IT specialists, managers, professionals, researchers, and academicians.

Heterogenous Computational Intelligence in Internet of Things

Pawan Singh,Prateek Singhal,Pramod Kumar Mishra,Avimanyou K. Vatsa
Heterogenous Computational Intelligence in Internet of Things Book PDF

Author : Pawan Singh,Prateek Singhal,Pramod Kumar Mishra,Avimanyou K. Vatsa
Publisher : CRC Press
Page : 376 pages
File Size : 41,5 Mb
Release : 2023-10-23
Category : Computers
ISBN : 9781000967944

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Heterogenous Computational Intelligence in Internet of Things by Pawan Singh,Prateek Singhal,Pramod Kumar Mishra,Avimanyou K. Vatsa Pdf

We have seen a sharp increase in the development of data transfer techniques in the networking industry over the past few years. We can see that the photos are assisting clinicians in detecting infection in patients even in the current COVID-19 pandemic condition. With the aid of ML/AI, medical imaging, such as lung X-rays for COVID-19 infection, is crucial in the early detection of many diseases. We also learned that in the COVID-19 scenario, both wired and wireless networking are improved for data transfer but have network congestion. An intriguing concept that has the ability to reduce spectrum congestion and continuously offer new network services is providing wireless network virtualization. The degree of virtualization and resource sharing varies between the paradigms. Each paradigm has both technical and non-technical issues that need to be handled before wireless virtualization becomes a common technology. For wireless network virtualization to be successful, these issues need careful design and evaluation. Future wireless network architecture must adhere to a number of Quality of Service (QoS) requirements. Virtualization has been extended to wireless networks as well as conventional ones. By enabling multi-tenancy and tailored services with a wider range of carrier frequencies, it improves efficiency and utilization. In the IoT environment, wireless users are heterogeneous, and the network state is dynamic, making network control problems extremely difficult to solve as dimensionality and computational complexity keep rising quickly. Deep Reinforcement Learning (DRL) has been developed by the use of Deep Neural Networks (DNNs) as a potential approach to solve high-dimensional and continuous control issues effectively. Deep Reinforcement Learning techniques provide great potential in IoT, edge and SDN scenarios and are used in heterogeneous networks for IoT-based management on the QoS required by each Software Defined Network (SDN) service. While DRL has shown great potential to solve emerging problems in complex wireless network virtualization, there are still domain-specific challenges that require further study, including the design of adequate DNN architectures with 5G network optimization issues, resource discovery and allocation, developing intelligent mechanisms that allow the automated and dynamic management of the virtual communications established in the SDNs which is considered as research perspective.

Artificial Intelligence for the Internet of Health Things

K. Shankar,Eswaran Perumal,Deepak Gupta
Artificial Intelligence for the Internet of Health Things Book PDF

Author : K. Shankar,Eswaran Perumal,Deepak Gupta
Publisher : CRC Press
Page : 216 pages
File Size : 49,6 Mb
Release : 2021-05-10
Category : Computers
ISBN : 9781000374292

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Artificial Intelligence for the Internet of Health Things by K. Shankar,Eswaran Perumal,Deepak Gupta Pdf

This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications. Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks Introduces a new applications and case studies across all areas of AI in healthcare data K. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India. Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India. Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.

Artificial Intelligence in IoT

Fadi Al-Turjman
Artificial Intelligence in IoT Book PDF

Author : Fadi Al-Turjman
Publisher : Springer
Page : 231 pages
File Size : 40,6 Mb
Release : 2019-02-12
Category : Technology & Engineering
ISBN : 9783030041106

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Artificial Intelligence in IoT by Fadi Al-Turjman Pdf

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.

Advances in Applications of Computational Intelligence and the Internet of Things

Rajdeep Chowdhury,S. K. Niranjan
Advances in Applications of Computational Intelligence and the Internet of Things Book PDF

Author : Rajdeep Chowdhury,S. K. Niranjan
Publisher : CRC Press
Page : 178 pages
File Size : 55,5 Mb
Release : 2022-06-02
Category : Computers
ISBN : 9781000286625

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Advances in Applications of Computational Intelligence and the Internet of Things by Rajdeep Chowdhury,S. K. Niranjan Pdf

This new volume illustrates the diverse applications of IoT. The volume addresses the crucial issue of data safekeeping along with the development of a new cryptographic and security technology as well as a range of other advances in IoT. The volume looks at the application of IoT in medical technology and healthcare, including the design of IoT-based mobile healthcare units and a blockchain technique based smart health record system. Other topics include a blended IoT-enabled learning approach through a study employing clustering techniques, an IoT-enabled garbage disposal system with an advanced message notification system through an android application, IoT-based self-healing concrete that uses bacteria and environmental waste, an IoT-enabled trash-the-ash application that regulates flow, and more. The fresh and innovative advances that demonstrate computational intelligence and IoT in practice that are discussed in this volume will be informative for academicians, scholars, scientists, industry professionals, policymakers, government and non-government organizations, and others.

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

Pardeep Kumar,Ahmed Jabbar Obaid,Korhan Cengiz,Ashish Khanna,Valentina Emilia Balas
A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems Book PDF

Author : Pardeep Kumar,Ahmed Jabbar Obaid,Korhan Cengiz,Ashish Khanna,Valentina Emilia Balas
Publisher : Springer Nature
Page : 462 pages
File Size : 53,8 Mb
Release : 2021-08-23
Category : Technology & Engineering
ISBN : 9783030766535

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A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems by Pardeep Kumar,Ahmed Jabbar Obaid,Korhan Cengiz,Ashish Khanna,Valentina Emilia Balas Pdf

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.

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
Recent Trends and Advances in Artificial Intelligence and Internet of Things Book PDF

Author : Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava
Publisher : Springer Nature
Page : 618 pages
File Size : 41,7 Mb
Release : 2019-11-19
Category : Technology & Engineering
ISBN : 9783030326449

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Recent Trends and Advances in Artificial Intelligence and Internet of Things by Valentina E. Balas,Raghvendra Kumar,Rajshree Srivastava Pdf

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.

Convergence of Artificial Intelligence and the Internet of Things

George Mastorakis,Constandinos X. Mavromoustakis,Jordi Mongay Batalla,Evangelos Pallis
Convergence of Artificial Intelligence and the Internet of Things Book PDF

Author : George Mastorakis,Constandinos X. Mavromoustakis,Jordi Mongay Batalla,Evangelos Pallis
Publisher : Springer Nature
Page : 446 pages
File Size : 50,8 Mb
Release : 2020-05-06
Category : Computers
ISBN : 9783030449070

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Convergence of Artificial Intelligence and the Internet of Things by George Mastorakis,Constandinos X. Mavromoustakis,Jordi Mongay Batalla,Evangelos Pallis Pdf

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.

Innovations in Computational Intelligence, Big Data Analytics and Internet of Things

Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi
Innovations in Computational Intelligence Big Data Analytics and Internet of Things Book PDF

Author : Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi
Publisher : IAP
Page : 385 pages
File Size : 53,8 Mb
Release : 2024-03-01
Category : Computers
ISBN : 9798887305615

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Innovations in Computational Intelligence, Big Data Analytics and Internet of Things by Sam Goundar,J. Avanija,Gurram Sunitha,K. Reddy Madhavi Pdf

As sensors spread across almost every industry, the internet of things is going to trigger a massive influx of big data. We delve into where IoT will have the biggest impact and what it means for the future of big data analytics. Internet of Things is changing the face of different sectors such as manufacturing, health-care, business, education etc. by completely redefining the way people, devices, and apps connect and interact with each other in the eco system. From personal fitness and wellness sensors, implantable devices to surgical robots – IoT is bringing in new tools and efficiencies in the ecosystem resulting in more integrated healthcare. Application of computational intelligence techniques is today considered as a key success factor to solve the growing scale and complexity of problems in the field of health care systems, agriculture, e-commerce etc. The convergence of Computational intelligence, Big Data and IoT provides new opportunities and revolutionize business in huge way. This book will support industry and governmental agencies to facilitate and make sense of myriad connected devices in coming decade. This book offers the recent advancements in Computational Intelligence, IoT and Big Data Analytics. • Development of models and algorithms for employing IoT based facilities in healthcare, industry, agriculture, e- commerce, manufacturing, business etc. • Methods for collection, management retrieval and processing of Big Data in various domains. • Provides taxonomy of challenges, issues and research directions in applications of computational intelligence techniques in different domains

Artificial Intelligence and Internet of Things

Lalit Mohan Goyal,Tanzila Saba,Amjad Rehman,Souad Larabi-Marie-Sainte
Artificial Intelligence and Internet of Things Book PDF

Author : Lalit Mohan Goyal,Tanzila Saba,Amjad Rehman,Souad Larabi-Marie-Sainte
Publisher : CRC Press
Page : 406 pages
File Size : 52,9 Mb
Release : 2021-08-25
Category : Health & Fitness
ISBN : 9781000386257

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Artificial Intelligence and Internet of Things by Lalit Mohan Goyal,Tanzila Saba,Amjad Rehman,Souad Larabi-Marie-Sainte Pdf

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 and Internet of Things for Renewable Energy Systems

Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal
Artificial Intelligence and Internet of Things for Renewable Energy Systems Book PDF

Author : Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal
Publisher : Walter de Gruyter GmbH & Co KG
Page : 318 pages
File Size : 41,8 Mb
Release : 2021-11-22
Category : Computers
ISBN : 9783110714043

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Artificial Intelligence and Internet of Things for Renewable Energy Systems by Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal Pdf

This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.

Hands-On Artificial Intelligence for IoT

Amita Kapoor
Hands On Artificial Intelligence for IoT Book PDF

Author : Amita Kapoor
Publisher : Packt Publishing Ltd
Page : 382 pages
File Size : 47,8 Mb
Release : 2019-01-31
Category : Computers
ISBN : 9781788832762

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Hands-On Artificial Intelligence for IoT by Amita Kapoor Pdf

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.

Hybrid Artificial Intelligence and IoT in Healthcare

Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque
Hybrid Artificial Intelligence and IoT in Healthcare Book PDF

Author : Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque
Publisher : Springer Nature
Page : 328 pages
File Size : 43,6 Mb
Release : 2021-07-22
Category : Technology & Engineering
ISBN : 9789811629723

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Hybrid Artificial Intelligence and IoT in Healthcare by Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque Pdf

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.

Artificial Intelligence Techniques in IoT Sensor Networks

Mohamed Elhoseny,K Shankar,Mohamed Abdel-Basset
Artificial Intelligence Techniques in IoT Sensor Networks Book PDF

Author : Mohamed Elhoseny,K Shankar,Mohamed Abdel-Basset
Publisher : CRC Press
Page : 221 pages
File Size : 42,5 Mb
Release : 2020-12-18
Category : Computers
ISBN : 9781000318708

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Artificial Intelligence Techniques in IoT Sensor Networks by Mohamed Elhoseny,K Shankar,Mohamed Abdel-Basset Pdf

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.

Artificial Intelligence to Solve Pervasive Internet of Things Issues

Gurjit Kaur,Pradeep Tomar,Marcus Tanque
Artificial Intelligence to Solve Pervasive Internet of Things Issues Book PDF

Author : Gurjit Kaur,Pradeep Tomar,Marcus Tanque
Publisher : Academic Press
Page : 428 pages
File Size : 53,8 Mb
Release : 2020-12-07
Category : Science
ISBN : 9780128185766

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Artificial Intelligence to Solve Pervasive Internet of Things Issues by Gurjit Kaur,Pradeep Tomar,Marcus Tanque Pdf

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