Search Results - "Sukai, Wang"
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Effect of chemical additives on the stability and performance of suspended-emulsion fracturing fluid formed by associative thickener
Published in Journal of polymer research (01-04-2024)“…Using suspended-emulsion is one of the important methods to achieve the online-mixing of fracturing fluid. In order to solve the practical problems that the…”
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2
ADMM-SVNet: An ADMM-Based Sparse-View CT Reconstruction Network
Published in Photonics (01-03-2022)“…In clinical medical applications, sparse-view computed tomography (CT) imaging is an effective method for reducing radiation doses. The iterative…”
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3
Generation model meets swin transformer for unsupervised low-dose CT reconstruction
Published in Machine learning: science and technology (01-06-2024)“…Abstract Computed tomography (CT) has evolved into an indispensable tool for clinical diagnosis. Reducing radiation dose crucially minimizes adverse effects…”
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4
Regression transients modeling of solid rocket motor burning surfaces with physics-guided neural network
Published in Machine learning: science and technology (01-03-2024)“…Abstract Monitoring the burning surface regression in ground static ignition tests is crucial for predicting the internal ballistic performance of solid rocket…”
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5
Study on induced stress of hydraulic fracturing in fractured‐porous elastic media
Published in Energy science & engineering (01-09-2020)“…The study on induced stress of hydraulic fracturing is an important part of hydraulic fracturing design, temporary plugging and steering fracturing design, and…”
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Transient Pressure Behavior of Complex Fracture Networks in Unconventional Reservoirs
Published in Geofluids (03-11-2021)“…Unconventional resources have been successfully exploited with technological advancements in horizontal-drilling and multistage hydraulic-fracturing,…”
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A Novel Coding Architecture for Multi-Line LiDAR Point Clouds Based on Clustering and Convolutional LSTM Network
Published in IEEE transactions on intelligent transportation systems (01-03-2022)“…Light detection and ranging (LiDAR) plays an indispensable role in autonomous driving technologies, such as localization, map building, navigation and object…”
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ST-TrackNet: A Multiple-Object Tracking Network Using Spatio-Temporal Information
Published in IEEE transactions on automation science and engineering (01-01-2024)“…Multiple-object tracking (MOT) is a crucial component in autonomous driving systems. However, inaccurate object detection is always the bottleneck for MOT…”
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PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds
Published in IEEE robotics and automation letters (01-04-2020)“…Recent machine learning-based multi-object tracking (MOT) frameworks are becoming popular for 3-D point clouds. Most traditional tracking approaches use…”
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10
Reconstruction method suitable for fast CT imaging
Published in Optics express (06-05-2024)“…Reconstructing computed tomography (CT) images from an extremely limited set of projections is crucial in practical applications. As the available projections…”
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Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments With Multimodal Sensor Fusion
Published in IEEE robotics and automation letters (01-07-2020)“…All-day and all-weather navigation is a critical capability for autonomous driving, which requires proper reaction to varied environmental conditions and…”
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12
Content-aware rate control scheme for HEVC based on static and dynamic saliency detection
Published in Neurocomputing (Amsterdam) (21-10-2020)“…High efficiency video coding (HEVC) greatly outperforms previous standards H.264/AVC in terms of coding bit rate and video quality. However, it does not take…”
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3-D Inspection Method for Industrial Product Assembly Based on Single X-Ray Projections
Published in IEEE transactions on instrumentation and measurement (2021)“…Industrial product assembly inspection is an indispensable part of industrial production, directly affecting product performance and reliability. Due to the…”
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DiTNet: End-to-End 3D Object Detection and Track ID Assignment in Spatio-Temporal World
Published in IEEE robotics and automation letters (01-04-2021)“…End-to-end 3D object detection and tracking based on point clouds is receiving more and more attention in many robotics applications, such as autonomous…”
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The Role of the Hercules Autonomous Vehicle During the COVID-19 Pandemic: An Autonomous Logistic Vehicle for Contactless Goods Transportation
Published in IEEE robotics & automation magazine (01-03-2021)“…Since early 2020, COVID-19 has spread rapidly across the world. At the date of this writing, the disease has been globally reported in 220 countries and…”
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A Novel Coding Architecture for LiDAR Point Cloud Sequence
Published in IEEE robotics and automation letters (01-10-2020)“…In this letter, we propose a novel coding architecture for LiDAR point cloud sequences based on clustering and prediction neural networks. LiDAR point clouds…”
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MDST: multi-domain sparse-view CT reconstruction based on convolution and swin transformer
Published in Physics in medicine & biology (07-05-2023)“…Sparse-view computed tomography (SVCT), which can reduce the radiation doses administered to patients and hasten data acquisition, has become an area of…”
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3D M-Net: Object-Specific 3D Segmentation Network Based on a Single Projection
Published in Computational intelligence and neuroscience (2021)“…The internal assembly correctness of industrial products directly affects their performance and service life. Industrial products are usually protected by…”
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Correcton to "DiTNet: End-to-End 3D Object Detection and Track ID Assignment in Spatio-temporal World"
Published in IEEE robotics and automation letters (01-10-2022)“…The corresponding author of this letter [1] is Lujia Wang, not Sukai Wang…”
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Exercise Dosage in Reducing the Risk of Dementia Development: Mode, Duration, and Intensity-A Narrative Review
Published in International journal of environmental research and public health (17-12-2021)“…Senile dementia, also known as dementia, is the mental deterioration which is associated with aging. It is characterized by a decrease in cognitive abilities,…”
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