39 Result(s)
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Chapter and Conference Paper
MaskMel-Prosody-CycleGAN-VC: High-Quality Cross-Lingual Voice Conversion
Voice conversion aims to change the timber of the source speaker to that of the target speaker without changing the speech content. The cross-lingual voice conversion requires non-parallel training data in two...
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Chapter and Conference Paper
Design and Implementation of a Green Credit Risk Control Model Based on SecureBoost and Improved-TCA Algorithm
Green credit plays a crucial role in promoting green transformation of enterprises and advancing social sustainable development. However, the current green credit rating disclosure system lacks data sharing be...
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Chapter and Conference Paper
Landing Trajectory and Control Optimization for Helicopter in Tail Rotor Pitch Lockup
This paper studies the optimal landing trajectory and control strategy for helicopter in tail rotor pitch lockup. A flight dynamics model of a single rotor helicopter with a tail rotor is established. The opti...
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Chapter and Conference Paper
Human-Machine Interactive Tissue Prototype Learning for Label-Efficient Histopathology Image Segmentation
Deep learning have greatly advanced histopathology image segmentation but usually require abundant annotated data. However, due to the gigapixel scale of whole slide images and pathologists’ heavy daily worklo...
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Chapter and Conference Paper
Multi-organ Segmentation Based on 2.5D Semi-supervised Learning
Automatic segmentation of multiple organs is a challenging topic. Most existing approaches are based on 2D network or 3D network, which leads to insufficient contextual exploration in organ segmentation. In re...
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Chapter and Conference Paper
Recent Advances in Smart Meter: Data Analysis, Privacy Preservation and Applications
The widespread popularity of smart meters has promoted the transition from traditional grid into modern smart grid, which is aimed to meet the rapid-growing demand for higher quality service and take up the em...
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Chapter and Conference Paper
Traceability Analysis of Feng-Flavour Daqu in China
High throughput sequencing was used to analyze the microbial community landscape of Chinese Feng-Flavour Daqu, and to study the specific contribution of different environmental factors to Daqu microorganisms. ...
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Chapter and Conference Paper
Split Learning Based on Self-supervised Learning
Vertical federated learning is a type of federated learning which aims to achieve feature fusion of different participants, and the data possessed at distinct participants usually contain different features. I...
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Chapter and Conference Paper
Review of Covid-19 Diagnosis Techniques Combined with Machine Learning and AI Analysis
The pandemic of coronavirus disease 2019 (COVID-19) is rapidly spreading all over the world. In order to reduce the workload of doctors, chest X-ray (CXR) and chest computed tomography (CT) scans are playing a...
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Chapter and Conference Paper
DC-Gossip: An Enhanced Broadcast Protocol in Hyperledger Fabric Based on Density Clustering
Low transaction efficiency remains one of the primary constraints to the development of permission blockchain. To enhance the communication performance of blockchain, the majority of research focuses on optimi...
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Chapter
Conclusions
Artificial intelligence and edge computing are expected to benefit each other. This book has comprehensively introduced and discussed various applicable scenarios and fundamental enabling techniques for edge inte...
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Chapter
Artificial Intelligence Applications on Edge
In general, AI services are currently deployed in cloud data centers (the cloud) for handling requests, due to the fact that most AI models are complex and hard to compute their inference results on the side o...
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Chapter and Conference Paper
Nebula: A Blockchain Based Decentralized Sharing Computing Platform
Nowadays, there is a considerable amount of idle computers whose computing resources are partially wasted. On the other hand, the demand of resources is rapidly growing, since the explosion of data and the com...
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Chapter
Introduction
With the development of the Internet, there is a trend of blowout growth in network data. Meanwhile, the pursuit of the low latency of applications has also become a common user demand. Traditional cloud compu...
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Chapter
Fundamentals of Artificial Intelligence
AI is a broad field of research that includes many methods of research value. However, due to the characteristics of edge computing in its operating structure and computing resources, deep learning has become ...
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Chapter
Artificial Intelligence Inference in Edge
In order to further improve the accuracy, DNNs become deeper and require larger-scale dataset. By this means, dramatic computation costs are introduced. Certainly, the outstanding performance of AI is insepara...
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Chapter and Conference Paper
Industrial Smoke Image Segmentation Based on a New Algorithm of Cross-Entropy Model
Smoke segmentation from the industrial images is a key concern of environmental monitoring. As the similarities between the gray value of the background and the smoke, the existing segmentation algorithms are ...
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Chapter
Lessons Learned and Open Challenges
To identify existing challenges and circumvent potential misleading directions, we briefly introduce the potential scenario of “AI Application on Edge,” and separately discuss open issues related to four enabl...
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Chapter
Fundamentals of Edge Computing
Edge computing has become an important solution to break the bottleneck of emerging technologies by virtue of its advantages of reducing data transmission, improving service latency, and easing cloud computing...
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Chapter
Artificial Intelligence Training at Edge
Present cloud training (or cloud–edge training) is facing challenges in AI services requiring continuous learning and data privacy. Naturally, the edge architecture, which consists of a large number of edge no...
