Embracing Machines And Humanity Through Cognitive Computing And Iot

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Embracing Machines and Humanity Through Cognitive Computing and IoT

Author : Mohammed Usman
Publisher : Springer Nature
ISBN 13 : 9811945225
Total Pages : 132 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Embracing Machines and Humanity Through Cognitive Computing and IoT by : Mohammed Usman

Download or read book Embracing Machines and Humanity Through Cognitive Computing and IoT written by Mohammed Usman and published by Springer Nature. This book was released on 2023-03-01 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book sheds light on systems that learn extensively, with purpose and naturally interact with humans. Improving operations and increasing competitive differentiation among manufacturing organizations by harnessing the power of cognitive abilities, IoT can help build and influence the flow of information—making the shop floor more cognitive through effective processing, analysis, and operational optimization. Now we are seeing the first-hand potential of cognitive computing—its ability to transform businesses, governments, and society. The real potential of the cognitive age can be realized by combining data analysis and statistical reasoning of machines with uniquely human qualities, such as self-directed goals, common sense, and moral values, improving operations and increasing competitive differentiation among manufacturing organizations. By harnessing the power of cognitive abilities, IoT can help build and influence the flow of information—making the shop floor more cognitive through effective processing, analysis, and operational optimization. Cognitive initiatives come in all shapes and sizes, from change to strategy and everything in between. What most successful projects have in common, no matter how ambitious, is they start with a clear view of what technology can do. Therefore, the first job of a cognitive scientists is to gain a firm understanding of cognitive abilities, as presented in this book.

Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

Author : Vinit Kumar Gunjan
Publisher : Springer Nature
ISBN 13 : 3031430093
Total Pages : 337 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough by : Vinit Kumar Gunjan

Download or read book Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough written by Vinit Kumar Gunjan and published by Springer Nature. This book was released on 2024-01-13 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.

Cognitive Computing for Big Data Systems Over IoT

Author : Arun Kumar Sangaiah
Publisher : Springer
ISBN 13 : 3319706888
Total Pages : 383 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Cognitive Computing for Big Data Systems Over IoT by : Arun Kumar Sangaiah

Download or read book Cognitive Computing for Big Data Systems Over IoT written by Arun Kumar Sangaiah and published by Springer. This book was released on 2017-12-30 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.

Cognitive Internet of Things

Author : Pethuru Raj
Publisher : CRC Press
ISBN 13 : 1000547264
Total Pages : 332 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Cognitive Internet of Things by : Pethuru Raj

Download or read book Cognitive Internet of Things written by Pethuru Raj and published by CRC Press. This book was released on 2022-03-29 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet of Things (IoT) concept is defined as a flexible and futuristic network where all the different types of devices and smart objects can become seamlessly connected to each other and can actively participate in all types of processes which are happening around us. The grand objective of making physical, mechanical, electrical, and electronic devices to use the deeper and extreme connectivity and service-enablement techniques is to make them intelligent in their deeds, decisions, and deals. Cognitive IoT is the application of cognitive computing technologies to the data which is generated by the connected devices of the IoT ecosystem. Cognition means thinking; however, computers are not yet fully capable of mimicking human like thought. However, the present-day computer systems can perform some functions which are like the capability of human beings to think. Cognitive Internet of Things: Enabling Technologies, Platforms, and Use Cases explains the concepts surrounding Cognitive IoT. It also looks at the use cases and such supporting technologies as artificial intelligence and machine learning that act as key enablers of Cognitive IoT ecosystem. Different Cognitive IoT enabled platforms like IBM Watson and other product specific use cases like Amazon Alexa are covered in depth. Other highlights of the book include: Demystifying the cognitive computing paradigm Delineating the key capabilities of cognitive cloud environments Deep learning algorithms for cognitive IoT solutions Natural language processing (NLP) methods for cognitive IoT systems Designing a secure infrastructure for cognitive IoT platforms and applications

Cognitive Computing for Human-Robot Interaction

Author : Mamta Mittal
Publisher : Academic Press
ISBN 13 : 0323856470
Total Pages : 420 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Cognitive Computing for Human-Robot Interaction by : Mamta Mittal

Download or read book Cognitive Computing for Human-Robot Interaction written by Mamta Mittal and published by Academic Press. This book was released on 2021-08-13 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: Introduces several new contributions to the representation and management of humans in autonomous robotic systems; Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; Engages with the potential repercussions of cognitive computing and HRI in the real world. Introduces several new contributions to the representation and management of humans in an autonomous robotic system Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario

Cognitive Engineering for Next Generation Computing

Author : Kolla Bhanu Prakash
Publisher : John Wiley & Sons
ISBN 13 : 1119711088
Total Pages : 370 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Cognitive Engineering for Next Generation Computing by : Kolla Bhanu Prakash

Download or read book Cognitive Engineering for Next Generation Computing written by Kolla Bhanu Prakash and published by John Wiley & Sons. This book was released on 2021-04-06 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The cognitive approach to the IoT provides connectivity to everyone and everything since IoT connected devices are known to increase rapidly. When the IoT is integrated with cognitive technology, performance is improved, and smart intelligence is obtained. Discussed in this book are different types of datasets with structured content based on cognitive systems. The IoT gathers the information from the real time datasets through the internet, where the IoT network connects with multiple devices. This book mainly concentrates on providing the best solutions to existing real-time issues in the cognitive domain. Healthcare-based, cloud-based and smart transportation-based applications in the cognitive domain are addressed. The data integrity and security aspects of the cognitive computing main are also thoroughly discussed along with validated results.

Cognitive Machine Intelligence

Author : Inam Ullah Khan
Publisher : CRC Press
ISBN 13 : 1040097081
Total Pages : 373 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Cognitive Machine Intelligence by : Inam Ullah Khan

Download or read book Cognitive Machine Intelligence written by Inam Ullah Khan and published by CRC Press. This book was released on 2024-08-28 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Machine Intelligence: Applications, Challenges, and Related Technologies offers a compelling exploration of the transformative landscape shaped by the convergence of machine intelligence, artificial intelligence, and cognitive computing. In this book, the authors navigate through the intricate realms of technology, unveiling the profound impact of cognitive machine intelligence on diverse fields such as communication, healthcare, cybersecurity, and smart city development. The chapters present study on robots and drones to the integration of machine learning with wireless communication networks, IoT, quantum computing, and beyond. The book explores the essential role of machine learning in healthcare, security, and manufacturing. With a keen focus on privacy, trust, and the improvement of human lifestyles, this book stands as a comprehensive guide to the novel techniques and applications driving the evolution of cognitive machine intelligence. The vision presented here extends to smart cities, where AI-enabled techniques contribute to optimal decision-making, and future computing systems address end-to-end delay issues with a central focus on Quality-of-Service metrics. Cognitive Machine Intelligence is an indispensable resource for researchers, practitioners, and enthusiasts seeking a deep understanding of the dynamic landscape at the intersection of artificial intelligence and cognitive computing. This book: Covers a comprehensive exploration of cognitive machine intelligence and its intersection with emerging technologies such as federated learning, blockchain, and 6G and beyond. Discusses the integration of machine learning with various technologies such as wireless communication networks, ad-hoc networks, software-defined networks, quantum computing, and big data. Examines the impact of machine learning on various fields such as healthcare, unmanned aerial vehicles, cybersecurity, and neural networks. Provides a detailed discussion on the challenges and solutions to future computer networks like end-to-end delay issues, Quality of Service (QoS) metrics, and security. Emphasizes the need to ensure privacy and trust while implementing the novel techniques of machine intelligence. It is primarily written for senior undergraduate and graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

Machine Learning in Cognitive IoT

Author : Neeraj Kumar
Publisher : CRC Press
ISBN 13 : 1000767590
Total Pages : 319 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Machine Learning in Cognitive IoT by : Neeraj Kumar

Download or read book Machine Learning in Cognitive IoT written by Neeraj Kumar and published by CRC Press. This book was released on 2020-08-20 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the different technologies of Internet, and machine learning capabilities involved in Cognitive Internet of Things (CIoT). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different steps. It initiates with IoT basics, its history, architecture and applications followed by capabilities of CIoT in real world and description of machine learning (ML) in data mining. Further, it explains various ML techniques and paradigms with different phases of data pre-processing and feature engineering. Each chapter includes sample questions to help understand concepts of ML used in different applications. Explains integration of Machine Learning in IoT for building an efficient decision support system Covers IoT, CIoT, machine learning paradigms and models Includes implementation of machine learning models in R Help the analysts and developers to work efficiently with emerging technologies such as data analytics, data processing, Big Data, Robotics Includes programming codes in Python/Matlab/R alongwith practical examples, questions and multiple choice questions

Cognitive Computing for Machine Thinking

Author : Makarand R. Velankar
Publisher : Springer Nature
ISBN 13 : 9819704529
Total Pages : 98 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Cognitive Computing for Machine Thinking by : Makarand R. Velankar

Download or read book Cognitive Computing for Machine Thinking written by Makarand R. Velankar and published by Springer Nature. This book was released on with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Sentient Machine

Author : Amir Husain
Publisher : Simon and Schuster
ISBN 13 : 1501144677
Total Pages : 224 pages
Book Rating : 4.5/5 (11 download)

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Book Synopsis The Sentient Machine by : Amir Husain

Download or read book The Sentient Machine written by Amir Husain and published by Simon and Schuster. This book was released on 2017-11-21 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explores universal questions about humanity's capacity for living and thriving in the coming age of sentient machines and AI, examining debates from opposing perspectives while discussing emerging intellectual diversity and its potential role in enabling a positive life.

Cognitive Hyperconnected Digital Transformation

Author : Ovidiu Vermesan
Publisher : River Publishers
ISBN 13 : 8793609116
Total Pages : 338 pages
Book Rating : 4.7/5 (936 download)

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Book Synopsis Cognitive Hyperconnected Digital Transformation by : Ovidiu Vermesan

Download or read book Cognitive Hyperconnected Digital Transformation written by Ovidiu Vermesan and published by River Publishers. This book was released on 2017-06-23 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex info

Cognitive IoT

Author : J P Patra
Publisher : CRC Press
ISBN 13 : 1000764192
Total Pages : 104 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Cognitive IoT by : J P Patra

Download or read book Cognitive IoT written by J P Patra and published by CRC Press. This book was released on 2022-08-19 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with a different research area of cognitive IoT and explains how machine learning algorithms can be applied for cognitive IoT. It deals with applications of cognitive IoT in this pandemic (COVID-19), applications for student performance evaluation, applications for human healthcare for chronic disease prediction, use of wearable sensors and review regarding their energy optimization and how cognitive IoT helps in farming through rainfall prediction and prediction of lake levels. Features: Describes how cognitive IoT is helpful for chronic disease prediction and processing of data gathered from healthcare devices Explains different sensors available for health monitoring Explores application of cognitive IoT in COVID-19 analysis Discusses pertinent and efficient farming applications for sustaining agricultural growth Reviews smart educational aspects such as student response, performance, and behavior and instructor response, performance, and behavior This book aims at researchers, professionals and graduate students in Computer Science and Engineering, Computer Applications and Electronics Engineering, and Wireless Communications and Networking.

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 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

Machine Learning and IoT for Intelligent Systems and Smart Applications

Author : Madhumathy P
Publisher : CRC Press
ISBN 13 : 1000484963
Total Pages : 243 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machine Learning and IoT for Intelligent Systems and Smart Applications by : Madhumathy P

Download or read book Machine Learning and IoT for Intelligent Systems and Smart Applications written by Madhumathy P and published by CRC Press. This book was released on 2021-11-17 with total page 243 pages. Available in PDF, EPUB and Kindle. 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

Author : Abdulrahman Yarali
Publisher : John Wiley & Sons
ISBN 13 : 1119685214
Total Pages : 352 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Intelligent Connectivity by : Abdulrahman Yarali

Download or read book Intelligent Connectivity written by Abdulrahman Yarali and published by John Wiley & Sons. This book was released on 2021-09-28 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: INTELLIGENT CONNECTIVITY AI, IOT, AND 5G Explore the economics and technology of AI, IOT, and 5G integration Intelligent Connectivity: AI, IoT, and 5G delivers a comprehensive technological and economic analysis of intelligent connectivity and the integration of artificial intelligence, Internet of Things (IoT), and 5G. It covers a broad range of topics, including Machine-to-Machine (M2M) architectures, edge computing, cybersecurity, privacy, risk management, IoT architectures, and more. The book offers readers robust statistical data in the form of tables, schematic diagrams, and figures that provide a clear understanding of the topic, along with real-world examples of applications and services of intelligent connectivity in different sectors of the economy. Intelligent Connectivity describes key aspects of the digital transformation coming with the 4th industrial revolution that will touch on industries as disparate as transportation, education, healthcare, logistics, entertainment, security, and manufacturing. Readers will also get access to: A thorough introduction to technology adoption and emerging trends in technology, including business trends and disruptive new applications Comprehensive explorations of telecommunications transformation and intelligent connectivity, including learning algorithms, machine learning, and deep learning Practical discussions of the Internet of Things, including its potential for disruption and future trends for technological development In-depth examinations of 5G wireless technology, including discussions of the first five generations of wireless tech Ideal for telecom and information technology managers, directors, and engineers, Intelligent Connectivity: AI, IoT, and 5G is also an indispensable resource for senior undergraduate and graduate students in telecom and computer science programs.

Green Internet of Things and Machine Learning

Author : Roshani Raut
Publisher : John Wiley & Sons
ISBN 13 : 1119793122
Total Pages : 279 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Green Internet of Things and Machine Learning by : Roshani Raut

Download or read book Green Internet of Things and Machine Learning written by Roshani Raut and published by John Wiley & Sons. This book was released on 2022-01-10 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.