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Yedurkar D: Artificial Intelligence for
Natural Language Processing

Artificial Intelligence for Natural Language Processing

Vital information on AI, ML, and 5G, and implementing these topics for cellular network design and optimization AI for Design and Optimization of Cellular Networks focuses on the intersection of cellular communications and AI, discussing current advances, key concepts, challenges, opportunities, and lifecycle management. Divided into two parts, the first part provides the background of AI and cellular communications, exploring the challenges that are associated with creation, deployment, operation, and maintenance of systems for the design and optimization of cellular networks. The second part explains the process of network planning, design, and optimization of cellular networks, including examples and use cases in each area. The second part also discusses the application of AI to energy saving, the challenges that operators face, and a glimpse of future trends for AI, cellular networks, and their related NDO (Network Design and Optimization) activities. The book also includes coverage of AI-powered design technologies, performance characterization of advanced antenna systems, propagation predictions, and more. With heavy contribution from industry professionals at Ericsson, AI for Design and Optimization of Cellular Networks includes detailed information on: Evolution of cellular communications from the early GSM days until today, with special emphasis on the arrival of 5G and its implications compared with LTESupervised, unsupervised, semi-supervised, and reinforcement learning with an intuitive focus, covering their distinctive characteristicsDifferent types of digital twins, their fundamental properties, their suitability for design and optimization of cellular networks, and using them together with AI techniquesTransition from traditional network performance management and operations towards an AI-driven combination of control loops An informed and timely exploration of key developments and challenges by those who work on the frontline, AI for Design and Optimization of Cellular Networks is an essential resource for professionals working in cellular communications and AI, providing a one-of-a-kind blend of practical and theoretical information.

AI for Design and Optimization of Cellular Networks

Advances in Digital Language Learning and Teaching

Cultural Tasks for Digital Language Learning

IEEE Press Power and Energy Systems

Understand and deploy a sustainable alternative to mineral oils Transformers rank among the costliest and most important components in an electrical power network. Traditionally, mineral oils have been used as the primary insulating liquids for transformers, playing a crucial role in extending transformer life span. In an expanding global energy market, however, demand for sustainable alternatives to mineral oils has skyrocketed, and the search for alternative, biodegradable insulating liquids has accelerated. Electrical Discharges in Alternative Transformer Liquids is the first work of its kind to survey the available range of biodegradable insulating liquids and analyze their electrical discharging behavior. It addresses the knowledge gaps which have led to slow adoption of these insulating liquids by utility companies, despite their obvious performance benefits. The result promises to be a durable guide to monitoring transformer condition and designing transformer insulation. Readers will also find: <ul> <li>Knowledge, behavioral observations, intrinsic aspects, various accessing parameters, and measuring methodologies concerning electrical discharges in transformer liquids</li> <li>Detailed discussion of topics high voltage electrical insulation, electrical machine maintenance, and more</li> <li>Comparative analysis of ester liquids relative to mineral oils</li> </ul> Electrical Discharges in Alternative Transformer Liquids is ideal for researchers involved in electrical power utilities and transformer design, as well as for engineers and industry professionals in the energy industries, insulation design, and related fields.

A Complete Guide

Electrical Discharges in Alternative Dielectric Liquids

Fundamentals and Recent Advances for All Types of Floating PV Systems

Floating PV Systems

Integration of Federated Learning and Blockchain for Smart Cities

Human Factors in Design, Engineering, and Computing

Modern Technologies in Ergonomics and Workplace Safety

Driving Business Success and Profit Through Enterprise Automation and AI Agents

Untangling AI

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp; Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;

Artificial Intelligence for Natural Language Processing

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