Computational Intelligence In The Internet Of Things

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Computational Intelligence in the Internet of Things

Author : Purnomo, Hindriyanto Dwi
Publisher : IGI Global
ISBN 13 : 1522579567
Total Pages : 342 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Computational Intelligence in the Internet of Things by : Purnomo, Hindriyanto Dwi

Download or read book Computational Intelligence in the Internet of Things written by Purnomo, Hindriyanto Dwi and published by IGI Global. This book was released on 2019-03-15 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Pawan Singh
Publisher : CRC Press
ISBN 13 : 1000967948
Total Pages : 376 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Heterogenous Computational Intelligence in Internet of Things by : Pawan Singh

Download or read book Heterogenous Computational Intelligence in Internet of Things written by Pawan Singh and published by CRC Press. This book was released on 2023-10-23 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 to Solve Pervasive Internet of Things Issues

Author : Gurjit Kaur
Publisher : Academic Press
ISBN 13 : 0128185767
Total Pages : 428 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence to Solve Pervasive Internet of Things Issues by : Gurjit Kaur

Download or read book Artificial Intelligence to Solve Pervasive Internet of Things Issues written by Gurjit Kaur and published by Academic Press. This book was released on 2020-12-07 with total page 428 pages. Available in PDF, EPUB and Kindle. 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

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Author : Valentina E. Balas
Publisher : Springer Nature
ISBN 13 : 3030326446
Total Pages : 618 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Recent Trends and Advances in Artificial Intelligence and Internet of Things by : Valentina E. Balas

Download or read book Recent Trends and Advances in Artificial Intelligence and Internet of Things written by Valentina E. Balas and published by Springer Nature. This book was released on 2019-11-19 with total page 618 pages. Available in PDF, EPUB and Kindle. 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.

Artificial Intelligence in IoT

Author : Fadi Al-Turjman
Publisher : Springer
ISBN 13 : 3030041107
Total Pages : 231 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence in IoT by : Fadi Al-Turjman

Download or read book Artificial Intelligence in IoT written by Fadi Al-Turjman and published by Springer. This book was released on 2019-02-12 with total page 231 pages. Available in PDF, EPUB and Kindle. 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.

Convergence of Artificial Intelligence and the Internet of Things

Author : George Mastorakis
Publisher : Springer Nature
ISBN 13 : 3030449076
Total Pages : 446 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Convergence of Artificial Intelligence and the Internet of Things by : George Mastorakis

Download or read book Convergence of Artificial Intelligence and the Internet of Things written by George Mastorakis and published by Springer Nature. This book was released on 2020-05-06 with total page 446 pages. Available in PDF, EPUB and Kindle. 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 for the Internet of Health Things

Author : K. Shankar
Publisher : CRC Press
ISBN 13 : 1000374297
Total Pages : 216 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence for the Internet of Health Things by : K. Shankar

Download or read book Artificial Intelligence for the Internet of Health Things written by K. Shankar and published by CRC Press. This book was released on 2021-05-10 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

Author : Pardeep Kumar
Publisher : Springer Nature
ISBN 13 : 3030766535
Total Pages : 462 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems by : Pardeep Kumar

Download or read book A Fusion of Artificial Intelligence and Internet of Things for Emerging Cyber Systems written by Pardeep Kumar and published by Springer Nature. This book was released on 2021-08-23 with total page 462 pages. Available in PDF, EPUB and Kindle. 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.

Artificial Intelligence and Internet of Things

Author : Lalit Mohan Goyal
Publisher : CRC Press
ISBN 13 : 1000386252
Total Pages : 406 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence and Internet of Things by : Lalit Mohan Goyal

Download or read book Artificial Intelligence and Internet of Things written by Lalit Mohan Goyal and published by CRC Press. This book was released on 2021-08-25 with total page 406 pages. Available in PDF, EPUB and Kindle. 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 for the Internet of Everything

Author : William Lawless
Publisher : Academic Press
ISBN 13 : 0128176377
Total Pages : 303 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence for the Internet of Everything by : William Lawless

Download or read book Artificial Intelligence for the Internet of Everything written by William Lawless and published by Academic Press. This book was released on 2019-02-21 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for the Internet of Everything considers the foundations, metrics and applications of IoE systems. It covers whether devices and IoE systems should speak only to each other, to humans or to both. Further, the book explores how IoE systems affect targeted audiences (researchers, machines, robots, users) and society, as well as future ecosystems. It examines the meaning, value and effect that IoT has had and may have on ordinary life, in business, on the battlefield, and with the rise of intelligent and autonomous systems. Based on an artificial intelligence (AI) perspective, this book addresses how IoE affects sensing, perception, cognition and behavior. Each chapter addresses practical, measurement, theoretical and research questions about how these “things may affect individuals, teams, society or each other. Of particular focus is what may happen when these “things begin to reason, communicate and act autonomously on their own, whether independently or interdependently with other “things . Considers the foundations, metrics and applications of IoE systems Debates whether IoE systems should speak to humans and each other Explores how IoE systems affect targeted audiences and society Discusses theoretical IoT ecosystem models

Hands-On Artificial Intelligence for IoT

Author : Amita Kapoor
Publisher : Packt Publishing Ltd
ISBN 13 : 1788832760
Total Pages : 382 pages
Book Rating : 4.7/5 (888 download)

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Book Synopsis Hands-On Artificial Intelligence for IoT by : Amita Kapoor

Download or read book Hands-On Artificial Intelligence for IoT written by Amita Kapoor and published by Packt Publishing Ltd. This book was released on 2019-01-31 with total page 382 pages. Available in PDF, EPUB and Kindle. 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.

Hybrid Artificial Intelligence and IoT in Healthcare

Author : Akash Kumar Bhoi
Publisher : Springer Nature
ISBN 13 : 9811629722
Total Pages : 328 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Hybrid Artificial Intelligence and IoT in Healthcare by : Akash Kumar Bhoi

Download or read book Hybrid Artificial Intelligence and IoT in Healthcare written by Akash Kumar Bhoi and published by Springer Nature. This book was released on 2021-07-22 with total page 328 pages. Available in PDF, EPUB and Kindle. 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.

Recent Trends in Computational Intelligence Enabled Research

Author : Siddhartha Bhattacharyya
Publisher : Academic Press
ISBN 13 : 0323851797
Total Pages : 420 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Recent Trends in Computational Intelligence Enabled Research by : Siddhartha Bhattacharyya

Download or read book Recent Trends in Computational Intelligence Enabled Research written by Siddhartha Bhattacharyya and published by Academic Press. This book was released on 2021-07-31 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of computational intelligence has grown tremendously over that past five years, thanks to evolving soft computing and artificial intelligent methodologies, tools and techniques for envisaging the essence of intelligence embedded in real life observations. Consequently, scientists have been able to explain and understand real life processes and practices which previously often remain unexplored by virtue of their underlying imprecision, uncertainties and redundancies, and the unavailability of appropriate methods for describing the incompleteness and vagueness of information represented. With the advent of the field of computational intelligence, researchers are now able to explore and unearth the intelligence, otherwise insurmountable, embedded in the systems under consideration. Computational Intelligence is now not limited to only specific computational fields, it has made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design to name a few. Recent Trends in Computational Intelligence Enabled Research: Theoretical Foundations and Applications explores the use of this computational paradigm across a wide range of applied domains which handle meaningful information. Chapters investigate a broad spectrum of the applications of computational intelligence across different platforms and disciplines, expanding our knowledge base of various research initiatives in this direction. This volume aims to bring together researchers, engineers, developers and practitioners from academia and industry working in all major areas and interdisciplinary areas of computational intelligence, communication systems, computer networks, and soft computing. Provides insights into the theory, algorithms, implementation, and application of computational intelligence techniques Covers a wide range of applications of deep learning across various domains which are researching the applications of computational intelligence Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision, soft computing techniques

Edge Computing and Computational Intelligence Paradigms for the IoT

Author : Nagarajan, G.
Publisher : IGI Global
ISBN 13 : 1522585575
Total Pages : 347 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Edge Computing and Computational Intelligence Paradigms for the IoT by : Nagarajan, G.

Download or read book Edge Computing and Computational Intelligence Paradigms for the IoT written by Nagarajan, G. and published by IGI Global. This book was released on 2019-06-14 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range of industries and measuring strategic values helps identify what technologies to pursue and can avoid wasted resources on deployments with limited values. Edge Computing and Computational Intelligence Paradigms for the IoT is a critical research book that provides a complete insight on the recent advancements and integration of intelligence in IoT. This book highlights various topics such as disaster prediction, governance, and healthcare. It is an excellent resource for researchers, working professionals, academicians, policymakers, and defense companies.

Advances in Applications of Computational Intelligence and the Internet of Things

Author : Rajdeep Chowdhury
Publisher : CRC Press
ISBN 13 : 1000286622
Total Pages : 178 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Advances in Applications of Computational Intelligence and the Internet of Things by : Rajdeep Chowdhury

Download or read book Advances in Applications of Computational Intelligence and the Internet of Things written by Rajdeep Chowdhury and published by CRC Press. This book was released on 2022-06-02 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence and Internet of Things for Renewable Energy Systems

Author : Neeraj Priyadarshi
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110714043
Total Pages : 318 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Artificial Intelligence and Internet of Things for Renewable Energy Systems by : Neeraj Priyadarshi

Download or read book Artificial Intelligence and Internet of Things for Renewable Energy Systems written by Neeraj Priyadarshi and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-11-22 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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

Author : Sam Goundar
Publisher : IAP
ISBN 13 :
Total Pages : 385 pages
Book Rating : 4.8/5 (873 download)

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Book Synopsis Innovations in Computational Intelligence, Big Data Analytics and Internet of Things by : Sam Goundar

Download or read book Innovations in Computational Intelligence, Big Data Analytics and Internet of Things written by Sam Goundar and published by IAP. This book was released on 2024-03-01 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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