762 Result(s)
within
Yu** Hao
Artificial Intelligence
Computer Communication Networks
-
Article
Mconvkgc: a novel multi-channel convolutional model for knowledge graph completion
The incompleteness of the knowledge graph limits its applications to various downstream tasks. To this end, numerous influential knowledge graph embedding models have been presented and have made great achieve...
-
Chapter and Conference Paper
Research on Railway Frequency Shift Signal Detection Based on Transient Electromagnetic Radar
In response to the characteristics of railway frequency shift signals, transient electromagnetic radar is used to start from two aspects: carrier frequency and low frequency. The carrier frequency uses the sam...
-
Chapter and Conference Paper
Hybrid Encoded Attention Networks for Accurate Pulmonary Artery-Vein Segmentation in Noncontrast CT Images
Pulmonary artery-vein segmentation in computed tomography image is essential to lung disease diagnosis. It is still a challenge to segment small distal vessels, crossover and adhesion of arterioles due to comp...
-
Chapter and Conference Paper
TimeGAN: A Novel Solution to Imbalanced Encrypted Traffic Datasets
Currently, the performance of machine learning-based encrypted traffic recognition models is always unsatisfactory on imbalanced datasets. Existing methods neglected the time series features in the traffic. To...
-
Chapter and Conference Paper
A Quantum Behaved Particle Swarm Optimization with a Chaotic Operator
As a popular population based Evolutionary Algorithm, quantum behaved particle swarm optimization (QPSO) has applied widely in many real-world problems. In this paper, for further enhancing the performance of ...
-
Chapter and Conference Paper
Application of T-S Fuzzy Neural Network in Water Quality Classification and Evaluation
Water quality classification and evaluation is an important part of water resources protection and development. In order to further improve the accuracy and convenience of water quality evaluation classificati...
-
Chapter and Conference Paper
Research on Interactive Design of AR Books
AR technology has been widely used in AR books, bringing readers an unprecedented reading experience by embedding virtual elements into the real environment. In the design of AR books, interactive design is a ...
-
Chapter and Conference Paper
Q-TrHDRI: A Qurey-Based Transformer for High Dynamic Range Imaging with Dynamic Scenes
In the absence of well-exposed contents in images, high dynamic range image (HDRI) provides an attractive option that fuses stacked low dynamic range (LDR) images into an HDR image. Existing HDRI methods utili...
-
Chapter and Conference Paper
A Review of Image and Point Cloud Fusion in Autonomous Driving
In the task of autonomous driving perception scenarios, multi-sensor fusion is gradually becoming the current mainstream trend. At this stage, researchers use multimodal fusion to leverage information and ulti...
-
Chapter and Conference Paper
MARS: An Instance-Aware, Modular and Realistic Simulator for Autonomous Driving
Nowadays, autonomous cars can drive smoothly in ordinary cases, and it is widely recognized that realistic sensor simulation will play a critical role in solving remaining corner cases by simulating them. To t...
-
Chapter and Conference Paper
Stress Expression Identification Model for Emotion-Driven Association Calculation over Social Network Blogs
Emotion and stress expression are deeply intertwined. Analyzing blog data from social network platforms reveals that specific emotions often appear simultaneously with expressions indicating stress, and emotio...
-
Chapter and Conference Paper
A Novel SegNet Model for Crack Image Semantic Segmentation in Bridge Inspection
Cracks on bridge surfaces represent a significant defect that demands accurate and efficient inspection methods. However, current approaches for segmenting cracks suffer from low accuracy and slow detection sp...
-
Chapter and Conference Paper
A Quantum-Based Attention Mechanism in Scene Text Detection
Attention mechanisms have provided benefits in very many visual tasks, e.g. image classification, object detection, semantic segmentation. However, few attention modules have been proposed specifically for sce...
-
Chapter and Conference Paper
TSTD:A Cross-modal Two Stages Network with New Trans-decoder for Point Cloud Semantic Segmentation
In recent years, exploring integrated heterogeneous features architecture has become one of the hot spots in 3D point cloud understanding. However, the efficacy of end-to-end training in enhancing the precisio...
-
Chapter and Conference Paper
Leveraging Data Correlations for Skin Lesion Classification
Over the past decade, deep convolutional neural networks (DCNN) have been widely adopted for medical image classification and some of them have achieved the diagnostic outcomes comparable or even superior to t...
-
Chapter and Conference Paper
A Multiple Fire Zones Detection Method for UAVs Based on Improved Ant Colony Algorithm
In response to the increasing severity and frequency of forest fires caused by dry climate and temperature rise, and the difficulty of identifying the fire initiation point in the early stage due to the large ...
-
Chapter and Conference Paper
Mask-Guided Joint Single Image Specular Highlight Detection and Removal
Detecting and removing specular highlights is a highly challenging task that can effectively enhance the performance of other computer vision tasks in real-world scenarios. Traditional highlight removal algori...
-
Chapter and Conference Paper
Explicit Composition of Neural Radiance Fields by Learning an Occlusion Field
The neural radiance field (NeRF) is an implicit representation of the appearance and shape of objects based on neural networks. While numerous studies have shown the great performance of NeRF on tasks like fre...
-
Chapter and Conference Paper
Learning Key Features Transformer Network for Point Cloud Processing
Due to the unordered and irregular nature of point cloud data, it is challenging for neural networks to learn from it. Attention mechanisms have shown promising results in point cloud processing. It is also in...
-
Chapter and Conference Paper
A Quantitative Evaluation Method for Parkinson's Disease
Objective, quantifiable, and easy to operate evaluation methods are crucial for assisting in the diagnosis of Parkinson's disease. In the widely used Unified Parkinson's Disease Rating Scale (UPDRS) III, item ...
