6,701 Result(s)
within
Chapter
**wu Hu
Computer Science
-
Chapter and Conference Paper
A Hierarchy-Based Analysis Approach for Blended Learning: A Case Study with Chinese Students
Blended learning is generally defined as the combination of traditional face-to-face learning and online learning. This learning mode has been widely used in advanced education across the globe due to the COVI...
-
Chapter and Conference Paper
A HRNet-Transformer Network Combining Recurrent-Tokens for Remote Sensing Image Change Detection
Deep learning is develo** rapidly and has achieved significant results in the field of remote sensing image change detection. Manual inspection is time-consuming and labor-intensive compared to deep learning...
-
Chapter and Conference Paper
An Automatic Depression Detection Method with Cross-Modal Fusion Network and Multi-head Attention Mechanism
Audio-visual based multimodal depression detection has gained significant attention due to its high efficiency and convenience as a computer-aided detection tool, resulting in promising performance. In this pa...
-
Chapter and Conference Paper
Prediction of Banking Customer Churn Based on XGBoost with Feature Fusion
With the increasing competition in the banking industry, accurate prediction of banking customer churn has become an important way in managing customer relationships. To explore efficacy features, enhance the ...
-
Chapter and Conference Paper
Only Classification Head Is Sufficient for Medical Image Segmentation
Medical image segmentation is a pivotal research domain that has garnered widespread attention in contemporary medical diagnostics. In pursuit of enhancing network efficacy, researchers have taken great effort...
-
Chapter and Conference Paper
Multi-granularity Contrastive Siamese Networks for Abstractive Text Summarization
Abstractive text summarization is an important task in natural language generation, which aims to compress input documents and generate concise and informative summaries. Sequence-to-Sequence (Seq2 Seq) models...
-
Chapter and Conference Paper
Design of Noise Reduction Structure of Porous Muffler Based on Ant Colony Algorithm
The design of noise reduction structure plays an important role in porous mufflers, but there is the problem of inaccurate noise reduction positioning. The traditional decision tree algorithm cannot solve the ...
-
Chapter and Conference Paper
AMCNet: Adaptive Matching Constraint for Unsupervised Point Cloud Registration
The registration of 3D point cloud with numerous applications in robotics, medical imaging and other industries. However, due to the lack of accurate data annotation, the performance of unsupervised point clou...
-
Chapter and Conference Paper
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images
We propose Boundary-RL, a novel weakly supervised segmentation method that utilises only patch-level labels for training. We envision segmentation as a boundary detection problem, rather than a pixel-level cla...
-
Chapter and Conference Paper
A Weighted Cross-Modal Feature Aggregation Network for Rumor Detection
In this paper, we propose a Weighted Cross-modal Aggregation network (WCAN) for rumor detection in order to combine highly correlated features in different modalities and obtain a unified representation in the...
-
Chapter and Conference Paper
Feature Matching in the Changed Environments for Visual Localization
Robust feature matching is a fundamental capability for visual SLAM. It remains, however, a challenging task, particularly for changed environments. Some researchers use semantic segmentation to remove potenti...
-
Chapter and Conference Paper
Billiards Hitting Assistance System
Performing training sessions to enhance the precision of billiard ball scoring poses inherent challenges. In response, we designed a comprehensive billiard ball hitting assistance system predicated on the util...
-
Chapter and Conference Paper
An Efficient Way for Active None-Line-of-Sight: End-to-End Learned Compressed NLOS Imaging
Non-line-of-sight imaging (NLOS) is an emerging detection technique that uses multiple reflections of a transmitted beam, capturing scenes beyond the user’s field of view. Due to its high reconstruction qualit...
-
Chapter and Conference Paper
Multi-level Storage Optimization for Intermediate Data in AI Model Training
As Transformer-based large models become the mainstream of AI training, the development of hardware devices (e.g., GPUs) cannot keep up with the rapid increase of model scale. Although the development of vario...
-
Chapter and Conference Paper
Exploration of the Teaching and Learning Model for College Students with Autism Based on Visual Perception—A Case Study in Nan**g Normal University of Special Education
Autism is a neurodevelopmental disorder with clinical diversity and heterogeneous etiology. The main clinical features are language problems, social communication disorders, and stereotyped behaviors. With the...
-
Chapter and Conference Paper
Research on Tongue Muscle Strength Measurement and Recovery System
Dysphagia is caused by movement disorders such as muscular systems or neurological diseases that participate in speech movement. Speech difficulty sufferers as the main victim of Dysphagia often have problems ...
-
Chapter and Conference Paper
Customized Anchors Can Better Fit the Target in Siamese Tracking
Most existing siamese trackers rely on some fixed anchors to estimate the scale and aspect ratio for all targets. However, in real tracking, different targets have different sizes and shapes, these predefined ...
-
Chapter and Conference Paper
Oral Lichen Planus Classification with SEResNet
Oral lichen planus, which is classified as a precancerous state by the World Health Organization (WHO), is one of the most dangerous disease in the filed of oral health. Such disease poses a serious threat to ...
-
Chapter and Conference Paper
Enhancing Adversarial Robustness via Stochastic Robust Framework
Despite deep neural networks (DNNs) have attained remarkable success in image classification, the vulnerability of DNNs to adversarial attacks poses significant security risks to their reliability. The design ...
-
Chapter and Conference Paper
GRF-GMM: A Trajectory Optimization Framework for Obstacle Avoidance in Learning from Demonstration
Learning from demonstrations (LfD) provides a convenient pattern to teach robot to gain skills without mechanically programming. As an LfD approach, Gaussian mixture model/Gaussian mixture regression (GMM/GMR)...
