608 Result(s)
within
Computer Science
**ang-Li Li
Article
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Article
Deep Learning Technique for Human Parsing: A Survey and Outlook
Human parsing aims to partition humans in image or video into multiple pixel-level semantic parts. In the last decade, it has gained significantly increased interest in the computer vision community and has be...
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SplatFlow: Learning Multi-frame Optical Flow via Splatting
The occlusion problem remains a crucial challenge in optical flow estimation (OFE). Despite the recent significant progress brought about by deep learning, most existing deep learning OFE methods still struggl...
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Intelligent anomaly detection for dynamic high-frequency sensor data of road underground structure
The structural health monitoring data of the Research Institute of Highway Ministry of Transportation Track (RIOHTRACK) are huge and complex, including a large amount of dynamic high-frequency sensor data of r...
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Network pharmacology and experimental validation to explore the anti-aging mechanism of action of betulinic acid
This subject aims to investigate the potential targets and mechanism of action of betulinic acid in anti-aging through network pharmacology, molecular docking technique combined with in vitro validation. After...
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Open AccessPutting the flesh on the bones: using a fishbone digital learning design method to align educational objectives
Learning design has become increasingly important in the context of expanding and dynamic digital learning environments. More traditional teaching approaches are no longer sufficient to engage learners in thes...
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A comprehensive analysis of challenges and strategies for software release notes on GitHub
Release notes (RNs) refer to the technical documentation that offers users, developers, and other stakeholders comprehensive information about the changes and updates of a new software version. Producing high-...
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A literature review and existing challenges on software logging practices
Software logging is the practice of recording different events and activities that occur within a software system, which are useful for different activities such as failure prediction and anomaly detection. Wh...
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Open AccessGraph-Enhanced Prompt Learning for Personalized Review Generation
Personalized review generation is significant for e-commerce applications, such as providing explainable recommendation and assisting the composition of reviews. With the success of pre-trained language models...
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MDSCN: multiscale depthwise separable convolutional network for underwater graphics restoration
Underwater imaging techniques have been a focus of research for computer vision. Underwater imaging frequently encounters challenges for poor image quality and slow restoration speed, thereby hindering human u...
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Poisson subsampling-based estimation for growing-dimensional expectile regression in massive data
As an effective tool for data analysis, expectile regression is widely used in the fields of statistics, econometrics and finance. However, most studies focus on the case where the sample size is not massive a...
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EpiRiskNet: incorporating graph structure and static data as prior knowledge for improved time-series forecasting
EpiRiskNet combines time-series data with graph and static information to enhance forecasting accuracy. This model features the SCI-Block for improved feature extraction and interaction learning, leveraging th...
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Open AccessA comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges
The application of optimization theory and the algorithms that are generated from it has increased along with science and technology's continued advancement. Numerous issues in daily life can be categorized as...
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CloudAIBus: a testbed for AI based cloud computing environments
Smart resource allocation is essential for optimising cloud computing efficiency and utilisation, but it is also very challenging as traditional approaches often overprovision CPU resources, leading to financi...
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Quantitative evaluation of molecular generation performance of graph-based GANs
Deep generative models have been widely used in molecular generation tasks because they can save time and cost in drug development compared with traditional methods. Previous studies based on generative advers...
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Open AccessSanitized clustering against confounding bias
Real-world datasets inevitably contain biases that arise from different sources or conditions during data collection. Consequently, such inconsistency itself acts as a confounding factor that disturbs the clus...
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DMA-YOLO: multi-scale object detection method with attention mechanism for aerial images
Unmanned aerial vehicles are increasingly popular due to their ease of operation, low noise, and portability. However, existing object detection methods perform poorly in detecting small targets in densely arr...
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Open AccessAn overview of sentence ordering task
The sentence ordering task aims to organize complex, unordered sentences into readable text. This improves accuracy, validity, and reliability in various natural language processing domains, including automati...
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GMM-Based Speaker Verification System with Hardware MFCC in SoC Design
In recent years, speaker verification has been extensively explored and has significantly improved its effectiveness. It analyzes the voiceprint characteristics of speakers and finds out the differences in voi...
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Online sequential extreme learning machine approach for breast cancer diagnosis
The utilisation of DM (Data Mining) and ML (Machine Learning) approaches in the BC (Breast Cancer) diagnosis has recently gained a lot of consideration. However, most of these works still need enhancement sinc...
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Focused section on new trends on intelligent automation by industrial robots
Industrial robots have been widely used in manufacturing automobiles and consumable electronics, logistics, biomedical engineering, and many other industrial sectors. However, the need to enhance their adaptab...
