73 Result(s)
within
Conference Paper
Yan **a Chen
Artificial Intelligence
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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
Zero-Shot Singing Voice Conversion Based on Timbre Space Modeling and Excitation Signal Control
In recent years, singing voice conversion technology has rapidly advanced and is capable of generating high-quality singing voices. However, challenges persist, such as pitch fluctuations and significant diffe...
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Chapter and Conference Paper
A Stock Price Trend Prediction Method Based on Market Sentiment Factors and Multi-layer Stacking Ensemble Learning with Dual-CNN-LSTM Models and Nested Heterogeneous Learners
Investor sentiment, as a factor influencing stock price volatility, has received increasing research attention in recent years. This study proposes a more comprehensive representation of sentiment by incorpora...
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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
Construction of Digital Communication Platform of Yellow River Culture Based on Multimedia Communication
The traditional digital communication platform construction method has a small number of functional nodes and high overall message complexity. In response to this problem, a construction method for the digital...
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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
CSR&RV: An Efficient Value Compression Format for Sparse Matrix-Vector Multiplication
Sparse Matrix-Vector Multiplication (SpMV) plays a critical role in many areas of science and engineering applications. The storage space of value array in general real sparse matrices accounts for costly. How...
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Chapter and Conference Paper
Target Detection in Infrared Image of Transmission Line Based on Faster-RCNN
Compared with the visual image, the infrared image of the transmission line has lost some image characteristics and the image resolution is lower. In this paper, an improved Faster-RCNN method is used to locat...
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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
Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
Segmentation of whole slide images (WSIs) is an important step for computer-aided cancer diagnosis. However, due to the gigapixel dimension, WSIs are usually cropped into patches for analysis. Processing high-...
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Chapter and Conference Paper
Application of Conditional Generative Adversarial Network in Image Super-Resolution Reconstruction
In the process of image processing, the higher the resolution of the image, the richer the data information contained in the image. Aiming at the problem of low image resolution, through the research of gener...
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Chapter and Conference Paper
Multi-Scale Spatial Transform Network for Atmospheric Polarization Prediction
Sequential atmospheric polarization patterns can provide information for navigation when cues from a satellite source are not available. However, the real scenarios with extreme environments often cause corrup...
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Chapter and Conference Paper
Coronavirus Disease (COVID-19) X-Ray Film Classification Based on Convolutional Neural Network
The main incidence of pneumonia in Wuhan is that Coronavirus Disease (COVID-19) infects the lungs and causes respiratory failure [1]. Based on the technical research of lung infection detection, the medical image...
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Chapter and Conference Paper
Multi-head GAGNN: A Multi-head Guided Attention Graph Neural Network for Modeling Spatio-temporal Patterns of Holistic Brain Functional Networks
It has been widely demonstrated that complex brain function is mediated by the interaction of multiple concurrent brain functional networks, each of which is spatially distributed across specific brain regions...
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Chapter and Conference Paper
Rotation-DPeak: Improving Density Peaks Selection for Imbalanced Data
Density Peak (DPeak) is an effective clustering algorithm. It maps arbitrary dimensional data onto a 2-dimensional space, which yields cluster centers and outliers automatically distribute on upper right and u...
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Chapter and Conference Paper
Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks
One of the most prominent anatomical characteristics of the human brain lies in its highly folded cortical surface into convex gyri and concave sulci. Previous studies have demonstrated that gyri and sulci exh...
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Chapter and Conference Paper
Design of a De-Tumbling Robot for Space Noncooperative Targets
The aerospace industry continues to progress and develop. The waste left in space by human beings in space activities has lost its attitude adjustment ability and been turned into space junk. This not only cau...
