Share

Green Machine Learning Protocols for Future Communication Networks

Download Green Machine Learning Protocols for Future Communication Networks PDF Online Free

Author :
Release : 2023-10-25
Genre : Computers
Kind : eBook
Book Rating : 936/5 ( reviews)

GET EBOOK


Book Synopsis Green Machine Learning Protocols for Future Communication Networks by : Saim Ghafoor

Download or read book Green Machine Learning Protocols for Future Communication Networks written by Saim Ghafoor. This book was released on 2023-10-25. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Green Machine Learning Protocols for Future Communication Networks

Download Green Machine Learning Protocols for Future Communication Networks PDF Online Free

Author :
Release : 2023-10-25
Genre : Computers
Kind : eBook
Book Rating : 928/5 ( reviews)

GET EBOOK


Book Synopsis Green Machine Learning Protocols for Future Communication Networks by : Saim Ghafoor

Download or read book Green Machine Learning Protocols for Future Communication Networks written by Saim Ghafoor. This book was released on 2023-10-25. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Green Communication Technologies for Future Networks

Download Green Communication Technologies for Future Networks PDF Online Free

Author :
Release : 2022-10-31
Genre : Technology & Engineering
Kind : eBook
Book Rating : 266/5 ( reviews)

GET EBOOK


Book Synopsis Green Communication Technologies for Future Networks by : Gurjit Kaur

Download or read book Green Communication Technologies for Future Networks written by Gurjit Kaur. This book was released on 2022-10-31. Available in PDF, EPUB and Kindle. Book excerpt: This book explores all the energy-efficient communication technologies used for various communication systems and every aspect of these systems, such as green electronics, network protocols, handover, codes, antenna, and the role of artificial intelligence and IoT, including the energy management strategies. It identifies the development of sustainable plans and programs at the communication level within the current legislative framework. Features: Gives a fundamental description of the green communications including granularities of green wired and wireless systems. Describes a comprehensive review of innovations, challenges, and opportunities for green communication. Provides guiding principles on how to build the green communication network. Includes a holistic view of both wireless and wired green communication systems with an emphasis on applications and challenges in each area. Suggests various ways of benchmarking and measuring the performance of green communication systems. This book will be of great interest to graduate students and researchers in green technologies, communications, wireless communication, optical communication, underwater communication, microwave and satellite communication, networking, the internet of things, and energy management.

Applications of Machine Learning in UAV Networks

Download Applications of Machine Learning in UAV Networks PDF Online Free

Author :
Release : 2024-01-17
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis Applications of Machine Learning in UAV Networks by : Hassan, Jahan

Download or read book Applications of Machine Learning in UAV Networks written by Hassan, Jahan. This book was released on 2024-01-17. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Machine Learning in UAV Networks presents a pioneering exploration into the symbiotic relationship between machine learning techniques and UAVs. In an age where UAVs are revolutionizing sectors as diverse as agriculture, environmental preservation, security, and disaster response, this meticulously crafted volume offers an analysis of the manifold ways machine learning drives advancements in UAV network efficiency and efficacy. This book navigates through an expansive array of domains, each demarcating a pivotal application of machine learning in UAV networks. From the precision realm of agriculture and its dynamic role in yield prediction to the ecological sensitivity of biodiversity monitoring and habitat restoration, the contours of each domain are vividly etched. These explorations are not limited to the terrestrial sphere; rather, they extend to the pivotal aerial missions of wildlife conservation, forest fire monitoring, and security enhancement, where UAVs adorned with machine learning algorithms wield an instrumental role. Scholars and practitioners from fields as diverse as machine learning, UAV technology, robotics, and IoT networks will find themselves immersed in a confluence of interdisciplinary expertise. The book's pages cater equally to professionals entrenched in agriculture, environmental studies, disaster management, and beyond.

AI-Enhanced Teaching Methods

Download AI-Enhanced Teaching Methods PDF Online Free

Author :
Release : 2024-04-22
Genre : Education
Kind : eBook
Book Rating : /5 ( reviews)

GET EBOOK


Book Synopsis AI-Enhanced Teaching Methods by : Ahmed, Zeinab E.

Download or read book AI-Enhanced Teaching Methods written by Ahmed, Zeinab E.. This book was released on 2024-04-22. Available in PDF, EPUB and Kindle. Book excerpt: The digital age has ushered in an era where students must be equipped not only with traditional knowledge but also with the skills to navigate an increasingly interconnected and technologically driven world. As traditional teaching methods encounter the complexities of the 21st century, the demand for innovation becomes more apparent. This paves the way for the era of artificial intelligence (AI), a technological frontier that carries the potential to reshape education fundamentally. AI-Enhanced Teaching Methods recognizes the urgency of the ongoing technological shift and delves into an exploration of how AI can be effectively harnessed to redefine the learning experience. The book serves as a guide for educators, offering insights into navigating between conventional teaching methodologies and the possibilities presented by AI. It provides an understanding of AI's role in education, covering topics from machine learning to natural language processing. Ethical considerations, including privacy and bias, are thoroughly addressed with thoughtful solutions as well. Additionally, the book provides valuable support for administrators, aiding in the integration of these technologies into existing curricula.

You may also like...