Green Internet Of Things And Machine Learning

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Green Internet of Things and Machine Learning

Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu
Green Internet of Things and Machine Learning Book PDF

Author : Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu
Publisher : John Wiley & Sons
Page : 279 pages
File Size : 47,9 Mb
Release : 2022-01-10
Category : Computers
ISBN : 9781119793120

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Green Internet of Things and Machine Learning by Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu Pdf

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.

Green Internet of Things for Smart Cities

Surjeet Dalal,Vivek Jaglan,Dac-Nhuong Le
Green Internet of Things for Smart Cities Book PDF

Author : Surjeet Dalal,Vivek Jaglan,Dac-Nhuong Le
Publisher : CRC Press
Page : 316 pages
File Size : 46,7 Mb
Release : 2021-06-28
Category : Technology & Engineering
ISBN : 9781000352047

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Green Internet of Things for Smart Cities by Surjeet Dalal,Vivek Jaglan,Dac-Nhuong Le Pdf

The bright future of green IoT will change our tomorrow environment to become healthier and green, with very high quality of service that is socially, environmentally, and economically sustainable. This book covers the most recent advances in IoT, it discusses Smart City implementation, and offers both quantitative and qualitative research. It focuses on greening things such as green communication and networking, green design and implementations, green IoT services and applications, energy saving strategies, integrated RFIDs and sensor networks, mobility and network management, the cooperation of homogeneous and heterogeneous networks, smart objects, and green localization. This book with its wide range of related topics in IoT and Smart City, will be useful for graduate students, researchers, academicians, institutions, and professionals that are interested in exploring the areas of IoT and Smart City.

Green Machine Learning Protocols for Future Communication Networks

Saim Ghafoor,Mubashir Husain Rehmani
Green Machine Learning Protocols for Future Communication Networks Book PDF

Author : Saim Ghafoor,Mubashir Husain Rehmani
Publisher : CRC Press
Page : 223 pages
File Size : 54,7 Mb
Release : 2023-10-25
Category : Computers
ISBN : 9781000968927

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Green Machine Learning Protocols for Future Communication Networks by Saim Ghafoor,Mubashir Husain Rehmani Pdf

Machine learning has shown tremendous benefits in solving complex network problems and providing situation and parameter prediction. However, heavy resources are required to process and analyze the data, which can be done either offline or using edge computing but also requires heavy transmission resources to provide a timely response. The need here is to provide lightweight machine learning protocols that can process and analyze the data at run time and provide a timely and efficient response. These algorithms have grown in terms of computation and memory requirements due to the availability of large data sets. These models/algorithms also require high levels of resources such as computing, memory, communication, and storage. The focus so far was on producing highly accurate models for these communication networks without considering the energy consumption of these machine learning algorithms. For future scalable and sustainable network applications, efforts are required toward designing new machine learning protocols and modifying the existing ones, which consume less energy, i.e., green machine learning protocols. In other words, novel and lightweight green machine learning algorithms/protocols are required to reduce energy consumption which can also reduce the carbon footprint. To realize the green machine learning protocols, this book presents different aspects of green machine learning for future communication networks. This book highlights mainly the green machine learning protocols for cellular communication, federated learning-based models, and protocols for Beyond Fifth Generation networks, approaches for cloud-based communications, and Internet-of-Things. This book also highlights the design considerations and challenges for green machine learning protocols for different future applications.

Machine Learning Approach for Cloud Data Analytics in IoT

Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Monika Mangla,Suneeta Satpathy,Sirisha Potluri
Machine Learning Approach for Cloud Data Analytics in IoT Book PDF

Author : Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Monika Mangla,Suneeta Satpathy,Sirisha Potluri
Publisher : John Wiley & Sons
Page : 528 pages
File Size : 53,7 Mb
Release : 2021-07-14
Category : Computers
ISBN : 9781119785859

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Machine Learning Approach for Cloud Data Analytics in IoT by Sachi Nandan Mohanty,Jyotir Moy Chatterjee,Monika Mangla,Suneeta Satpathy,Sirisha Potluri Pdf

Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.

Big Data Analysis for Green Computing

Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham
Big Data Analysis for Green Computing Book PDF

Author : Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham
Publisher : CRC Press
Page : 175 pages
File Size : 40,5 Mb
Release : 2021-10-28
Category : Computers
ISBN : 9781000481785

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Big Data Analysis for Green Computing by Rohit Sharma,Dilip Kumar Sharma,Dhowmya Bhatt,Binh Thai Pham Pdf

This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics. Big Data Analysis for Green Computing: Concepts and Applications presents the latest technologies and covers the major challenges, issues, and advances of big data and data analytics in green computing. It explores basic as well as high-level concepts. It also includes the use of machine learning using big data and discusses advanced system implementation for smart cities. The book is intended for business and management educators, management researchers, doctoral scholars, university professors, policymakers, and higher academic research organizations.

Reshaping Environmental Science Through Machine Learning and IoT

Gupta, Rajeev Kumar,Jain, Arti,Wang, John,Pateriya, Rajesh Kumar
Reshaping Environmental Science Through Machine Learning and IoT Book PDF

Author : Gupta, Rajeev Kumar,Jain, Arti,Wang, John,Pateriya, Rajesh Kumar
Publisher : IGI Global
Page : 459 pages
File Size : 44,8 Mb
Release : 2024-05-06
Category : Technology & Engineering
ISBN : 9798369323526

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Reshaping Environmental Science Through Machine Learning and IoT by Gupta, Rajeev Kumar,Jain, Arti,Wang, John,Pateriya, Rajesh Kumar Pdf

In the face of escalating environmental challenges such as climate change, air and water pollution, and natural disasters, traditional approaches to understanding and addressing these issues have yet to be proven sufficient. Academic scholars are compelled to seek innovative solutions that marry digital intelligence and natural ecosystems. Reshaping Environmental Science Through Machine Learning and IoT serves as a comprehensive exploration into the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) to address critical environmental challenges. The book establishes a robust foundation in ML and IoT, explaining their relevance to environmental science. As the narrative unfolds, it delves into diverse applications, providing theoretical insights alongside practical knowledge. From interpreting weather patterns to predicting air and water quality, the book navigates through the intricate web of environmental complexities. Notably, it unveils approaches to disaster management, waste sorting, and climate change monitoring, showcasing the symbiotic relationship between digital intelligence and natural ecosystems. This book is ideal for audiences from students and researchers to data scientists and disaster management professionals with a nuanced understanding of IoT, ML, and Artificial Intelligence (AI).

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 : 53,5 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.

Green Internet of Things for Smart Cities

Surjeet Dalal,Vivek Jaglan,Dac-Nhuong Le
Green Internet of Things for Smart Cities Book PDF

Author : Surjeet Dalal,Vivek Jaglan,Dac-Nhuong Le
Publisher : CRC Press
Page : 330 pages
File Size : 47,9 Mb
Release : 2021-06-29
Category : Computers
ISBN : 9781000352061

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Green Internet of Things for Smart Cities by Surjeet Dalal,Vivek Jaglan,Dac-Nhuong Le Pdf

The bright future of green IoT will change our tomorrow environment to become healthier and green, with very high quality of service that is socially, environmentally, and economically sustainable. This book covers the most recent advances in IoT, it discusses Smart City implementation, and offers both quantitative and qualitative research. It focuses on greening things such as green communication and networking, green design and implementations, green IoT services and applications, energy saving strategies, integrated RFIDs and sensor networks, mobility and network management, the cooperation of homogeneous and heterogeneous networks, smart objects, and green localization. This book with its wide range of related topics in IoT and Smart City, will be useful for graduate students, researchers, academicians, institutions, and professionals that are interested in exploring the areas of IoT and Smart City.

Cognitive Computing Using Green Technologies

Asis Kumar Tripathy,Chiranji Lal Chowdhary,Mahasweta Sarkar,Sanjaya Kumar Panda
Cognitive Computing Using Green Technologies Book PDF

Author : Asis Kumar Tripathy,Chiranji Lal Chowdhary,Mahasweta Sarkar,Sanjaya Kumar Panda
Publisher : CRC Press
Page : 297 pages
File Size : 49,6 Mb
Release : 2021-03-29
Category : Technology & Engineering
ISBN : 9781000337884

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Cognitive Computing Using Green Technologies by Asis Kumar Tripathy,Chiranji Lal Chowdhary,Mahasweta Sarkar,Sanjaya Kumar Panda Pdf

Cognitive Computing is a new topic which aims to simulate human thought processes using computers that self-learn through data mining, pattern recognition, and natural language processing. This book focuses on the applications of Cognitive Computing in areas like Robotics, Blockchain, Deep Learning, and Wireless Technologies. This book covers the basics of Green Computing, discusses Cognitive Science methodologies in Robotics, Computer Science, Wireless Networks, and Deep Learning. It goes on to present empirical data and research techniques, modelling techniques and offers a data-driven approach to decision making and problem solving. This book is written for researchers, academicians, undergraduate and graduate students, and industry persons who are working on current applications of Cognitive Computing.

IoT and WSN based Smart Cities: A Machine Learning Perspective

Shalli Rani,Vyasa Sai,R. Maheswar
IoT and WSN based Smart Cities A Machine Learning Perspective Book PDF

Author : Shalli Rani,Vyasa Sai,R. Maheswar
Publisher : Springer Nature
Page : 288 pages
File Size : 44,9 Mb
Release : 2022-05-30
Category : Technology & Engineering
ISBN : 9783030841829

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IoT and WSN based Smart Cities: A Machine Learning Perspective by Shalli Rani,Vyasa Sai,R. Maheswar Pdf

This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.

Recent Advances in Internet of Things and Machine Learning

Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar
Recent Advances in Internet of Things and Machine Learning Book PDF

Author : Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar
Publisher : Springer Nature
Page : 340 pages
File Size : 47,6 Mb
Release : 2022-02-14
Category : Technology & Engineering
ISBN : 9783030901196

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Recent Advances in Internet of Things and Machine Learning by Valentina E. Balas,Vijender Kumar Solanki,Raghvendra Kumar Pdf

This book covers a domain that is significantly impacted by the growth of soft computing. Internet of Things (IoT)-related applications are gaining much attention with more and more devices which are getting connected, and they become the potential components of some smart applications. Thus, a global enthusiasm has sparked over various domains such as health, agriculture, energy, security, and retail. So, in this book, the main objective is to capture this multifaceted nature of IoT and machine learning in one single place. According to the contribution of each chapter, the book also provides a future direction for IoT and machine learning research. The objectives of this book are to identify different issues, suggest feasible solutions to those identified issues, and enable researchers and practitioners from both academia and industry to interact with each other regarding emerging technologies related to IoT and machine learning. In this book, we look for novel chapters that recommend new methodologies, recent advancement, system architectures, and other solutions to prevail over the limitations of IoT and machine learning.

5G, Artificial Intelligence, and Next Generation Internet of Things: Digital Innovation for Green and Sustainable Economies

Ordóñez de Pablos, Patricia,Zhang, Xi
5G Artificial Intelligence and Next Generation Internet of Things Digital Innovation for Green and Sustainable Economies Book PDF

Author : Ordóñez de Pablos, Patricia,Zhang, Xi
Publisher : IGI Global
Page : 275 pages
File Size : 54,8 Mb
Release : 2023-08-04
Category : Business & Economics
ISBN : 9781668486368

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5G, Artificial Intelligence, and Next Generation Internet of Things: Digital Innovation for Green and Sustainable Economies by Ordóñez de Pablos, Patricia,Zhang, Xi Pdf

Key and enabling digital tools and solutions can boost the digital transformation of economies and societies and support achieving the Sustainable Development Goals (SDGs) by 2030. The outcomes of digital innovation must be in line with responsible research and innovation. How can advanced information technologies, including artificial intelligence, blockchain, edge computing, the next generation of the internet of things (NGIoT), IoT, machine learning, and robotics, create digital tools and solutions to build more resilient, climate-neutral, and green economies and societies? 5G, Artificial Intelligence, and Next Generation Internet of Things: Digital Innovation for Green and Sustainable Economies offers innovative conceptual frameworks and theories, case studies, and empirical studies to understand digital innovation and how digital and industrial technologies can accelerate the digital and green transition with multidisciplinary and trans-disciplinary approaches. The book studies how digital tools and solutions can impact the achievement of the Sustainable Development Goals (SDGs) worldwide, focusing on the Asian region. Featuring research on topics such as 5G, artificial intelligence, blockchain, circular economy, green economy, climate-neutral economy, human-centered approach, robotics, geographical focus, and methodologies, this book is ideally designed for academics, researchers, industry players, policymakers, students, academics, experts on IT, CEOs, policymakers, and other relevant stakeholders worldwide.

Computational Intelligence Techniques for Green Smart Cities

Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh
Computational Intelligence Techniques for Green Smart Cities Book PDF

Author : Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh
Publisher : Springer Nature
Page : 418 pages
File Size : 45,8 Mb
Release : 2022-04-22
Category : Science
ISBN : 9783030964290

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Computational Intelligence Techniques for Green Smart Cities by Mohamed Lahby,Ala Al-Fuqaha,Yassine Maleh Pdf

This book contains high-quality and original research on computational intelligence for green smart cities research. In recent years, the use of smart city technology has rapidly increased through the successful development and deployment of Internet of Things (IoT) architectures. The citizens' quality of life has been improved in several sensitive areas of the city, such as transportation, buildings, health care, education, environment, and security, thanks to these technological advances Computational intelligence techniques and algorithms enable a computational analysis of enormous data sets to reveal patterns that recur. This information is used to inform and improve decision-making at the municipal level to build smart computational intelligence techniques and sustainable cities for their citizens. Machine intelligence allows us to identify trends (patterns). The smart city could better integrate its transportation network, for example. By offering a better public transportation network adapted to the demand, we could reduce personal vehicles and energy consumption. A smart city could use models to predict the consequences of a change, such as pedestrianizing a street or adding a bike lane. A city can even create a 3D digital twin to test hypothetical projects. This book comprises many state-of-the-art contributions from scientists and practitioners working in machine intelligence and green smart cities. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances in machine intelligence for green and sustainable smart city applications.

IoT and AI Technologies for Sustainable Living

Abid Hussain,Garima Tyagi,Sheng-Lung Peng
IoT and AI Technologies for Sustainable Living Book PDF

Author : Abid Hussain,Garima Tyagi,Sheng-Lung Peng
Publisher : CRC Press
Page : 347 pages
File Size : 40,8 Mb
Release : 2022-10-18
Category : Technology & Engineering
ISBN : 9781000755343

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IoT and AI Technologies for Sustainable Living by Abid Hussain,Garima Tyagi,Sheng-Lung Peng Pdf

This book brings together all the latest methodologies, tools and techniques related to the Internet of Things and Artificial Intelligence in a single volume to build insight into their use in sustainable living. The areas of application include agriculture, smart farming, healthcare, bioinformatics, self-diagnosis systems, body sensor networks, multimedia mining, and multimedia in forensics and security. This book provides a comprehensive discussion of modeling and implementation in water resource optimization, recognizing pest patterns, traffic scheduling, web mining, cyber security and cyber forensics. It will help develop an understanding of the need for AI and IoT to have a sustainable era of human living. The tools covered include genetic algorithms, cloud computing, water resource management, web mining, machine learning, block chaining, learning algorithms, sentimental analysis and Natural Language Processing (NLP). IoT and AI Technologies for Sustainable Living: A Practical Handbook will be a valuable source of knowledge for researchers, engineers, practitioners, and graduate and doctoral students working in the field of cloud computing. It will also be useful for faculty members of graduate schools and universities.

Internet of Energy for Smart Cities

Anish Jindal,Neeraj Kumar,Gagangeet Singh Aujla
Internet of Energy for Smart Cities Book PDF

Author : Anish Jindal,Neeraj Kumar,Gagangeet Singh Aujla
Publisher : CRC Press
Page : 323 pages
File Size : 54,7 Mb
Release : 2021-07-19
Category : Computers
ISBN : 9781000410983

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Internet of Energy for Smart Cities by Anish Jindal,Neeraj Kumar,Gagangeet Singh Aujla Pdf

Covers all aspects of Internet of Energy (IoE) and smart cities including research problems and solutions. Points to the solutions provided by machine learning to optimize the grids within a smart city set-up. Discusses relevant IoE design principles and architecture. Helps to automate various services in smart cities for energy management. Includes case studies to show the effectiveness of the discussed schemes.