Author: Educational Technology Magazine Staff
Publisher: Educational Technology
ISBN: 9780877782254
Category : Education
Languages : en
Pages : 212
Book Description
Telecommunications for Learning
Author: Educational Technology Magazine Staff
Publisher: Educational Technology
ISBN: 9780877782254
Category : Education
Languages : en
Pages : 212
Book Description
Publisher: Educational Technology
ISBN: 9780877782254
Category : Education
Languages : en
Pages : 212
Book Description
Telecommunications for Learning
Education Policy and Telecommunications Technologies
Author: Arthur D. Sheekey
Publisher:
ISBN:
Category : Distance education
Languages : en
Pages : 100
Book Description
Publisher:
ISBN:
Category : Distance education
Languages : en
Pages : 100
Book Description
Telecommunications
Author: Resa Azarmsa
Publisher: Routledge
ISBN: 1135520739
Category : Education
Languages : en
Pages : 328
Book Description
The objective of this book is to provide a comprehensive introduction to telecommunications and their applications in teaching and learning. It contains up-to-date information about telecommunications, including the latest hardware and software. It discusses the most recent developments in computer networking and how to apply them creatively in the classroom and the school. There is an in-depth discussion of teleconferencing as a way to bring cost-effective instructional material to students. The book also explores distance learning and how it can be expanded to include the home and office as well as the school. There is a detailed presentation on how to ensure computer security in schools to protect records, grades, and other sensitive data. Practical applications and examples are given where appropriate. A directory of on-line educational databases, a lengthy glossary, and an index are included.
Publisher: Routledge
ISBN: 1135520739
Category : Education
Languages : en
Pages : 328
Book Description
The objective of this book is to provide a comprehensive introduction to telecommunications and their applications in teaching and learning. It contains up-to-date information about telecommunications, including the latest hardware and software. It discusses the most recent developments in computer networking and how to apply them creatively in the classroom and the school. There is an in-depth discussion of teleconferencing as a way to bring cost-effective instructional material to students. The book also explores distance learning and how it can be expanded to include the home and office as well as the school. There is a detailed presentation on how to ensure computer security in schools to protect records, grades, and other sensitive data. Practical applications and examples are given where appropriate. A directory of on-line educational databases, a lengthy glossary, and an index are included.
Guide to Teleconferencing and Distance Learning
Author: Patrick S. Portway
Publisher: Applied Business Telecommunication
ISBN:
Category : Education
Languages : en
Pages : 464
Book Description
Publisher: Applied Business Telecommunication
ISBN:
Category : Education
Languages : en
Pages : 464
Book Description
Machine Learning and Wireless Communications
Author: Yonina C. Eldar
Publisher: Cambridge University Press
ISBN: 1108967736
Category : Technology & Engineering
Languages : en
Pages : 560
Book Description
How can machine learning help the design of future communication networks – and how can future networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most transformative and impactful technologies of our age in this comprehensive book. First, learn how modern machine learning techniques, such as deep neural networks, can transform how we design and optimize future communication networks. Accessible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle longstanding problems. Next, explore the design of wireless networks as platforms for machine learning applications – an overview of modern machine learning techniques and communication protocols will help you to understand the challenges, while new methods and design approaches will be presented to handle wireless channel impairments such as noise and interference, to meet the demands of emerging machine learning applications at the wireless edge.
Publisher: Cambridge University Press
ISBN: 1108967736
Category : Technology & Engineering
Languages : en
Pages : 560
Book Description
How can machine learning help the design of future communication networks – and how can future networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most transformative and impactful technologies of our age in this comprehensive book. First, learn how modern machine learning techniques, such as deep neural networks, can transform how we design and optimize future communication networks. Accessible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle longstanding problems. Next, explore the design of wireless networks as platforms for machine learning applications – an overview of modern machine learning techniques and communication protocols will help you to understand the challenges, while new methods and design approaches will be presented to handle wireless channel impairments such as noise and interference, to meet the demands of emerging machine learning applications at the wireless edge.
Applications of Machine Learning in Wireless Communications
Author: Ruisi He
Publisher: Telecommunications
ISBN: 1785616579
Category : Technology & Engineering
Languages : en
Pages : 491
Book Description
This detailed and comprehensive reference considers how to combine the disciplines of wireless communications and machine learning. Coverage includes channel modelling, signal estimation and detection, energy efficiency, cognitive radios, wireless sensor networks, vehicular communications and wireless multimedia communications.
Publisher: Telecommunications
ISBN: 1785616579
Category : Technology & Engineering
Languages : en
Pages : 491
Book Description
This detailed and comprehensive reference considers how to combine the disciplines of wireless communications and machine learning. Coverage includes channel modelling, signal estimation and detection, energy efficiency, cognitive radios, wireless sensor networks, vehicular communications and wireless multimedia communications.
Using Communications Media in Open and Flexible Learning
Author: Robin Mason
Publisher: Psychology Press
ISBN: 074941149X
Category : Adult education
Languages : en
Pages : 142
Book Description
First Published in 1994. Routledge is an imprint of Taylor & Francis, an informa company.
Publisher: Psychology Press
ISBN: 074941149X
Category : Adult education
Languages : en
Pages : 142
Book Description
First Published in 1994. Routledge is an imprint of Taylor & Francis, an informa company.
Machine Learning for Future Wireless Communications
Author: Fa-Long Luo
Publisher: John Wiley & Sons
ISBN: 1119562252
Category : Technology & Engineering
Languages : en
Pages : 490
Book Description
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
Publisher: John Wiley & Sons
ISBN: 1119562252
Category : Technology & Engineering
Languages : en
Pages : 490
Book Description
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
Telecommunications Technologies Education Guide
Author: Northeast Center for Telecommunications Technologies
Publisher:
ISBN:
Category : Education, Secondary
Languages : en
Pages : 147
Book Description
Publisher:
ISBN:
Category : Education, Secondary
Languages : en
Pages : 147
Book Description