3,290 Result(s)
within
**hu Li
Artificial Intelligence
Computer Applications
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Article
Open AccessA method for visualizing urban road events using distributed acoustic sensing
This study presents the construction of an urban underground sensing system using distributed acoustic sensing (DAS) technology, which utilizes the existing optical fiber infrastructure around urban roads for ...
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Article
Open AccessImage-based machine learning approach for structural damage detection through wavelet transforms
Structural integrity is essential for safety in infrastructure, as it can help prevent catastrophic failures and financial losses. The significance of vibration-based damage detection has grown substantially i...
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Chapter and Conference Paper
Emphasizing Boundary-Positioning and Leveraging Multi-scale Feature Fusion for Camouflaged Object Detection
Camouflaged object detection (COD) aims to identify objects that blend in with their surroundings and have numerous practical applications. However, COD is a challenging task due to the high similarity between...
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Chapter and Conference Paper
Analysis of Significant Cell Differences Between Cancer Patients and Healthy Individuals
At the end of 2019, a global outbreak of a new coronavirus ravaged the world, and to this day, many people’s bodies are still deeply affected by the virus. In order to find out if there is a correlation betwee...
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Chapter and Conference Paper
Design on Experimental Dataset and Task for Teaching in Data Science and Machine Learning
One of the key factor in teaching data science and machine learning is the well-prepared dataset.
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Chapter and Conference Paper
KGCN-DDA: A Knowledge Graph Based GCN Method for Drug-Disease Association Prediction
Exploring the potential efficacy of a drug is a valid approach for drug discovery with shorter development times and lower costs. Recently, several computational drug repositioning methods have been introduced...
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Chapter and Conference Paper
KDED: A Knowledge Distillation Based Edge Detector
Deep learning-based edge detectors are successful due to the large amount of supervisory information provided by manual labeling. However, there are inevitably errors in the manually labeled supervisory inform...
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Chapter and Conference Paper
Multimodal Rumor Detection by Using Additive Angular Margin with Class-Aware Attention for Hard Samples
Currently, several factors limit the practicality of multimodal rumor detection (MRD). These include incomplete feature fusion in multimodal data, the weak discriminative power in the softmax-based loss, and t...
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Chapter and Conference Paper
M \(^2\) Sim: A Long-Term Interactive Driving Simulator
Simulation now plays an important role in the development of autonomous driving algorithms as it can significantly reduce the economical cost and ethical risk of real-world testing. However, building a high-qu...
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Chapter and Conference Paper
Deep Recognition of Chinese Herbal Medicines Based on a Caputo Fractional Order Convolutional Neural Network
Chinese herbal medicines are the treasure of Chinese traditional medicine, which contains active ingredients that have significant therapeutic effects for many diseases. To solve the fluctuation and inefficien...
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Chapter and Conference Paper
Channel Allocation Scheme Based on NSGA-II for Frequency-Division-Multiplexing UHF RFID System
With the proposal and development of the internet of things (IoT), the ultra-high frequency (UHF) passive radio frequency identification (RFID) system based on backscatter communication technology has become o...
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Chapter and Conference Paper
PiDiNeXt: An Efficient Edge Detector Based on Parallel Pixel Difference Networks
The Pixel Difference Network (PiDiNet) is well-known for its success in edge detection. Combining traditional operators with deep learning, PiDiNet achieves competitive results with fewer parameters. However, ...
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Chapter and Conference Paper
Short-Text Conceptualization Based on Hyper-Graph Learning and Multiple Prior Knowledge
Short-text conceptualization is a notable task and popular issue in current social network analysis and natural language processing. This line of work usually views the data as a heterogeneous semantic network...
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Chapter and Conference Paper
Multi-brain Collaborative Target Detection Based on RAP
Brain-computer interfaces establish direct connections between the human brain and external devices, enabling information exchange. In the auditory pathway, a BCI system based on Rapid Auditory Presentation (R...
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Chapter and Conference Paper
Research on Physical Layer of Passive IoT Communication Protocol Based on Cellular Fusion
As transportation, logistics and other industries put forward the demand for low-cost item tracking, it is urgent to use the advantages of cellular networks to achieve seamless coverage of the connection of th...
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Chapter and Conference Paper
PEKD: Joint Prompt-Tuning and Ensemble Knowledge Distillation Framework for Causal Event Detection from Biomedical Literature
Identifying causal precedence relations among chemical interactions in biomedical literature is crucial for comprehending the underlying biological mechanisms. However, several issues persist, including the sc...
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Chapter and Conference Paper
GHGA-Net: Global Heterogeneous Graph Attention Network for Chinese Short Text Classification
As an important research content in the field of natural language processing, Chinese short text classification task has been facing two challenges: (i) existing methods rely on Chinese word segmentation and h...
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Chapter and Conference Paper
Research on Key Intelligent System in Unmanned Surface Vessel
With the rapid development of automated control and mobile communication technologies, unmanned ship technology is a derivative product of robotics. This paper aims to study the key technologies of intelligent...
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Chapter and Conference Paper
Correction to: A Survey of Control Flow Graph Recovery for Binary Code
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Chapter and Conference Paper
How Challenging is a Challenge for SLAM? An Answer from Quantitative Visual Evaluation
SLAM (Simultaneously Localization and Map**) is the fundamental technology for the application of unmanned intelligent systems, such as underwater exploration with fish robots. But various visual challenges ...
