29 Result(s)
within
Chapter
Conference Paper
Yan **a Chen
Computer Communication Networks
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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 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 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 and Conference Paper
Device-Free Activity Recognition: A Survey
With the increasing number of WIFI hotspots and video surveillance equipment deployed, device-free activity recognition based on video and WIFI signals has attracted widespread attention. In order to better un...
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Chapter and Conference Paper
Image Segmentation Based on Local Chan-Vese Model Combined with Fractional Order Derivative
Image segmentation plays a significant role in computer vision and image processing. In this paper, we proposed a novel Local Chan–Vese (LCV) image segmentation model. The new model combined classical LCV mode...
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Chapter and Conference Paper
DOA Estimation for Coherent and Incoherent Targets with Co-prime MIMO Array
In this paper, we consider the problem of DOA estimation for a mix of incoherent and coherent targets by using the monostatic co-prime MIMO array with N sparse transmitting sensors and
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Chapter and Conference Paper
Blockchain Based Data Transmission Control for Tactical Data Link
Tactical Data Link (TDL) is a communication system that utilizes a certain message format and a protocol to transmit data via wireless channels in an instant, automatic, and secure way. So far, TDL has shown s...
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Chapter and Conference Paper
A Fast Algorithm for Image Segmentation Based on Local Chan Vese Model
Image segmentation plays a very important pole in image processing and computer vision field. Most of the energy minimization of level set methods are based on the steepest descent method and finite difference...
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Chapter and Conference Paper
Using Nonverbal Information for Conversation Partners Inference by Wearable Devices
In this paper, we propose a framework called conversational partner inference using nonverbal information (abbreviated as CFN). We use the wrist-based wearable device that has an accelerometer sensor to detect...
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Chapter and Conference Paper
Design and Application of a Visual System for the Supply Chain of Thermal Coal Based on Big Data
Big data is now applied to many different fields. The paper will introduce the application of big data in the coal supply chain of the power industry. We designed and implemented a visual system for the Supply...
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Chapter and Conference Paper
Improving ELM-Based Time Series Classification by Diversified Shapelets Selection
ELM is an efficient neural network which has extremely fast learning capacity and good generalization capability. However, ELM fails to measure up the task of time series classification because it hard to extr...
