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Deep Learning on Edge Computing Devices

learning, including neural networks. The title helps researchers maximize the performance of Edge-deep learning models for mobile computing and;

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Artificial Intelligence and Machine Learning for EDGE Computing

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and;

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Communications and Networking

This proceedings constitutes the refereed proceedings of the 15th EAI International Conference on Communications and Networking, ChinaCom;

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A Study Guide for W. Somerset Maugham's The Razor's Edge

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The SAGE Handbook of E-learning Research

The new edition of The SAGE Handbook of E-Learning Research retains the original effort of the first edition by focusing on research while;

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Intelligent Workloads at the Edge

Explore IoT, data analytics, and machine learning to solve cyber-physical problems using the latest capabilities of managed services such;

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IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning

This book constitutes selected papers from the Second International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT;

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Learning Edge Pb

This text shows that the competitive advantage for today's forward-looking managers lies at the point where work and learning converge to;

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Learning Games 2

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Hands-On Edge Analytics with Azure IoT

Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge;

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The Knowledge Evolution

Explains the best practices from leading edge companies.Contains a learning guide for TQM tools.Gives navigational aids for the Knowledge;

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The Knowledge Evolution

Explains the best practices from leading edge companies.Contains a learning guide for TQM tools.Gives navigational aids for the Knowledge;

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Edge AI

rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this;

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Life

The new tenth edition of Life maintains the balanced experimental coverage of previous editions and has been updated with the latest;

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Language Learning and Teaching as Social Inter-action

This volume brings together contributions by leading researchers of the social interactional and socio-cultural approaches to language;

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Web-based Learning

Web-based learning involves the use of appropriate technology with the corresponding pedagogical approaches managed in the context;

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Educating Learning Technology Designers

What knowledge and skills do designers of learning technologies need? What is the best way to train them to create high-quality educational;

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Educating Learning Technology Designers

What knowledge and skills do designers of learning technologies need? What is the best way to train them to create high-quality educational;

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Teaching Politics And International Relations

A state of the discipline approach to teaching and learning in Politics and IR including contributions which discuss the most cutting-edge;

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Life

coverage; the tenth edition has been updated with the latest scientific research, a new contemporary design and cutting-edge teaching and learning;

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Student-Focused Learning

Learning methods for the twenty-first century will include those which are student-centered, learning-focused, and digitally enhanced;

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Student-Focused Learning

Learning methods for the twenty-first century will include those which are student-centered, learning-focused, and digitally enhanced;

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Machine Learning and Medical Imaging

Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes;

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Teaching Politics And International Relations

A state of the discipline approach to teaching and learning in Politics and IR including contributions which discuss the most cutting-edge;

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Mobile Edge Computing

learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster;

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Federated Learning for Wireless Networks

, wireless systems are mostly using machine learning schemes that are based on centralizing the training and inference processes by migrating the end;

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Action Reflection Learning: Solving Real Business Problems by Connecting Learning with Earning

Reflection Learning. Its simple yet essential principles can make an unforgettable impact on your practice and revolutionize the way adult learners;

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