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Deep Learning on Edge Computing Devices

Deep Learning on Edge Computing Devices: Design Challenges of Algorithm and Architecture focuses on hardware architecture and embedded deep;

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Cases on Edge Computing and Analytics

algorithms. Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices;

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Cases on Edge Computing and Analytics

algorithms. Cases on Edge Computing and Analytics describes the latest innovations, improvements, and transformations happening with edge devices;

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Memristive Devices for Brain-Inspired Computing

Learning, and Spiking Neural Networks reviews the latest in material and devices engineering for optimizing memristive devices beyond storage;

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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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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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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware;

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Deep Learning and Edge Computing Solutions for High Performance Computing

solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and;

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Privacy-Preserving in Edge Computing

With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the;

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Fog Computing Theory and Practice

virtualization in the fog environments. Includes chapters on deep learning, mobile edge computing, smart grid, and intelligent transportation;

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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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Deep Network Design for Medical Image Computing

techniques for MIC Contains cutting-edge deep learning research on MIC Covers a broad range of MIC tasks, including the;

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Smart Data

related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features;

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Computing Algorithms with Applications in Engineering

This book collects high-quality research papers presented at the International Conference on Computing Applications in Electrical;

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Computing Algorithms with Applications in Engineering

This book collects high-quality research papers presented at the International Conference on Computing Applications in Electrical;

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine;

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine;

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Smart Data

related to smart data computing and applications, including new computing theories, data mining and machine learning techniques. The book features;

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Edge Computing and Computational Intelligence Paradigms for the IoT

Edge computing is focused on devices and technologies that are attached to the internet of things (IoT). Identifying IoT use across a range;

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Big-Data Analytics for Cloud, IoT and Cognitive Computing

analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data;

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Edge Computing

by utilizing the virtues of homomorphic encryption. Discusses real-time interfaces, devices, and simulators in detail.;

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Edge Computing and IoT: Systems, Management and Security

, held in November 2020 in Changsha, China. Due to COVID-19 pandemic the conference was held virtually. The rapidly increasing devices and data;

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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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Digital Health in Focus of Predictive, Preventive and Personalised Medicine

The edition will cover proceedings of the second International conference on digital health Technologies (ICDHT 2019). The conference will;

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Deep Learning and Convolutional Neural Networks for Medical Image Computing

using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale;

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Cloud Computing with Security

This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early;

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Cloud Computing with Security

This book provides readers with an overview of Cloud Computing, starting with historical background on mainframe computers and early;

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