34,516 Result(s)
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Qi**ng Chen
Computer Science
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Article
A deep neural network for hand gesture recognition from RGB image in complex background
Deep learning research has gained significant popularity recently, finding applications in various domains such as image preprocessing, segmentation, object recognition, and semantic analysis. Deep learning ha...
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A positional-aware attention PCa detection network on multi-parametric MRI
Prostate cancer (PCa) is the most prevalent cancer among the males. PCa detection based on multi-parametric magnetic resonance imaging (mpMRI) can provide precise target points for puncture robots to enhance t...
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Research on variational optical flow method for rockfall monitoring
Rockfall is a global mountain disaster problem, which has the characteristics of wide distribution, strong randomness, and inconspicuousness. The contacted monitoring method is difficult to deploy. Simultaneou...
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A new virtual interpolation technology with range as object
Virtual interpolation technology can be applied to direction-of-arrival (DOA) estimation as a preprocessing technique to achieve the DOA estimation for any array. In order to solve the angle-sensitive problem ...
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TAENet: transencoder-based all-in-one image enhancement with depth awareness
Recently, CNN-based all-in-one image enhancement methods have been proposed to solve multiple image degradation tasks. However, these CNN-based methods usually have two limitations. One limitation is that they...
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Multistep traffic speed prediction from multiple time-scale spatiotemporal features using graph attention network
Traffic forecasting using deep learning represents a crucial aspect of intelligent transportation systems, carrying substantial implications for congestion reduction and efficient route planning. Despite its s...
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Stone segmentation based on improved U-Net network
In the contemporary stone aggregate industry and regulatory environment, there is a pressing need for a method that can quickly and efficiently calculate the average particle size of a batch of stones. The tra...
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Attention-based misaligned spatiotemporal auto-encoder for video anomaly detection
To face the shortcomings of the auto-encoder (AE) algorithm in terms of weak dynamic object extraction and strong reconstruction ability in abnormal situations for video anomaly detection, an attention-based m...
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Small target detection in drone aerial images based on feature fusion
The use of object detection technology in unmanned aerial vehicles is a crucial area of research in computer vision. Aerial images captured by drones exhibit differences in object shape and size compared to tr...
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A scientometric review of medical flexible needle systems in surgery: signal processing, navigation and control
Flexible needle systems showing multiple advantages in various medical scenarios, characterized by their flexibility, ease of operation, adaptable control and navigation capabilities. This paper presents a sci...
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Mind-bridge: reconstructing visual images based on diffusion model from human brain activity
Human brain vision is mysterious and complex, and it interprets the world through the connection between the brain and the eyes. In recent years, several methods have relied on fMRI to successfully reconstruct...
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GCT-YOLOv5: a lightweight and efficient object detection model of real-time side-scan sonar image
Due to the high imaging resolution and large detection area, side-scan sonar (SSS) has a wide range of applications in underwater detection, such as shipwreck and wrecked aircraft search and rescue. However, l...
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Article
Quality evaluation methods of handwritten Chinese characters: a comprehensive survey
Quality evaluation of handwritten Chinese characters aims to automatically quantify and assess handwritten Chinese characters through computer vision and machine learning technology. It is a topic of great con...
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Article
Some self-dual codes and isodual codes constructed by matrix product codes
In 2020, Cao et al. proved that any repeated-root constacyclic code is monomially equivalent to a matrix product code of simple-root constacyclic codes. In this paper, we study a family of matrix product codes...
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Tree-managed network ensembles for video prediction
This paper presents an innovative approach that leverages a tree structure to effectively manage a large ensemble of neural networks for tackling complex video prediction tasks. Our proposed method introduces ...
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MFDNet: Multi-Frequency Deflare Network for efficient nighttime flare removal
When light is scattered or reflected accidentally in the lens, flare artifacts may appear in the captured photographs, affecting the photographs’ visual quality. The main challenge in flare removal is to elimi...
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LightCapsGNN: light capsule graph neural network for graph classification
Graph neural networks (GNNs) have achieved excellent performances in many graph-related tasks. However, they need appropriate pooling operations to deal with the graph classification tasks, and thus, they may ...
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A novel brain tumor segmentation and classification model using deep neural network over MRI-flair images
Brain tumors pose a significant health concern globally, with their detection and diagnosis being crucial for timely intervention and treatment planning. These abnormal growths can develop within the brain or ...
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Article
A comparative study of software defect binomial classification prediction models based on machine learning
As information technology continues to advance, software applications are becoming increasingly critical. However, the growing size and complexity of software development can lead to serious flaws resulting in...
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Article
Towards effective urban region-of-interest demand modeling via graph representation learning
Identifying the region’s functionalities and what the specific Point-of-Interest (POI) needs is essential for effective urban planning. However, due to the diversified and ambiguity nature of urban regions, th...
