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Название: 5G Networks: An Overview of Architecture, Design, Use Cases and Deployment
Автор: Atahar Khan, Satya Priyo Dhar, Ramakrishnan Shanmugasun­daram
Издательство: River Publishers
Год: 2024
Страниц: 241
Язык: английский
Формат: pdf (true)
Размер: 16.8 MB

This book provides comprehensive coverage of building an end-to-end view on how to architect, design, and orchestrate a 5G capable network that will integrate with 5G RAN, IP transport, datacenters, Telco Cloud, and 5G packet networks. It contains real-world examples with challenges and success strategies for deploying 5G Transport with closed-loop automation. It also focuses on aspects like scale, performance, latency, security, and manageability while building 5G transport for some of the world's largest 5G networks as well as migration approaches from 4G to 5G transport and core network. 5G is an emerging technology that mobile service providers (MNO/MVNO) across the world are embracing. They are willing to invest in enabling their infrastructure for 5G and explore new business opportunities with their enterprise/mobile customers. As per the Gartner survey, the majority of communication service provider (CSP) revenue will come from 5G. 5G is going to open the door to new applications such as wireless virtual reality, low latency machine-to-machine communication, smart city infrastructure, autonomous vehicles, IoT deployment, artificial intelligence-based applications, industrial automation and so much more. 5G is not merely mobile technology evolution, but the breadth is extended beyond mobile communication to address all forms of communication and its enabling new services and enhancing existing services like enhanced mobile broadband (eMBB), critical communications (CC) and ultra reliable and low latency communications (URLLC), massive Internet of Things (mIoT) and flexible network operations. 5G architecture brings a drastic change from radio network to IP transport and mobile packets core for mobile network operators (MNOs) and mobile virtual network operators (MVNOs).

Название: Sustainable Materials: The Role of Artificial Intelligence and Machine Learning
Автор: Akshansh Mishra, Vijaykumar S Jatti, Shivangi Paliwal
Издательство: CRC Press
Год: 2025
Страниц: 215
Язык: английский
Формат: pdf (true)
Размер: 16.5 MB

The self-learning ability of Machine Learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using Machine Learning algorithms. Machine Learning, a substantial component of Artificial Intelligence (AI), is making rapid advancements and is an exciting pathway for AI’s contributions to the study of material science. Over the past decade, Machine Learning has experienced significant growth and is now making its way into scientific disciplines, including material science. Machine Learning aids in characterizing materials, predicting properties at the molecular level, expediting simulations, discovering new materials, and constructing models for designing novel materials.

Название: Готовим из фарша
Составитель: Семенова С.
Серия: «155 рецептов наших бабушек»
Издательство: «Клуб Семейного Досуга»
Год: 2014
Cтраниц: 96
Формат: pdf
Размер: 39,6 Мб

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