Xiaoguang Hu
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View article: Three-Dimensional Measurement of Transmission Line Icing Based on a Rule-Based Stereo Vision Framework
Three-Dimensional Measurement of Transmission Line Icing Based on a Rule-Based Stereo Vision Framework Open
The safety and reliability of modern power systems are increasingly challenged by adverse environmental conditions. (1) Background: Ice accumulation on power transmission lines is recognized as a severe threat to grid stability, as tower c…
View article: Enhancing point cloud analysis via neighbor aggregation correction based on cross-stage structure correlation
Enhancing point cloud analysis via neighbor aggregation correction based on cross-stage structure correlation Open
Point cloud analysis is the cornerstone of many downstream tasks, among which aggregating local structures is the basis for understanding point cloud data. While numerous works aggregate neighbor using three-dimensional relative coordinate…
View article: Increased intra-abdominal pressure linked to worse long-term prognosis among patients with orthotopic liver transplantation: a retrospective, observational study
Increased intra-abdominal pressure linked to worse long-term prognosis among patients with orthotopic liver transplantation: a retrospective, observational study Open
Elevated intra-abdominal pressure above 16 mmHg was significantly related with worse 1-year survival among OLT patients. Both maximum IAP alone and SOFA score incorporated with IAH components showed strong prognostic values for in-hospital…
View article: Cross-Shaped Peg-in-Hole Autonomous Assembly System via BP Neural Network Based on Force/Moment and Visual Information
Cross-Shaped Peg-in-Hole Autonomous Assembly System via BP Neural Network Based on Force/Moment and Visual Information Open
Currently, research on peg-in-hole (PiH) compliant assembly is predominantly limited to circular pegs and holes, with insufficient exploration of various complex-shaped PiH tasks. Furthermore, the degree of freedom for rotation about the a…
View article: Precision Ice Detection on Power Transmission Lines: A Novel Approach with Multi-Scale Retinex and Advanced Morphological Edge Detection Monitoring
Precision Ice Detection on Power Transmission Lines: A Novel Approach with Multi-Scale Retinex and Advanced Morphological Edge Detection Monitoring Open
Line icings on the power transmission lines are dangerous risks that may lead to situations like structural damage or power outages. The current techniques used for identifying ice have certain drawbacks, particularly when used in complex …
View article: An Enhanced Multiscale Retinex, Oriented FAST and Rotated BRIEF (ORB), and Scale-Invariant Feature Transform (SIFT) Pipeline for Robust Key Point Matching in 3D Monitoring of Power Transmission Line Icing with Binocular Vision
An Enhanced Multiscale Retinex, Oriented FAST and Rotated BRIEF (ORB), and Scale-Invariant Feature Transform (SIFT) Pipeline for Robust Key Point Matching in 3D Monitoring of Power Transmission Line Icing with Binocular Vision Open
Power transmission line icing (PTLI) poses significant threats to the reliability and safety of electrical power systems, particularly in cold regions. Accumulation of ice on power lines can lead to severe consequences, such as line breaks…
View article: Precision Ice Detection on Power Transmission Lines: A Novel Approach with Multi-Scale Retinex and Advanced Morphological Edge Detection Monitoring
Precision Ice Detection on Power Transmission Lines: A Novel Approach with Multi-Scale Retinex and Advanced Morphological Edge Detection Monitoring Open
Background: Ice formation on power transmission lines presents significant risks, including structural damage and power outages. Traditional methods for detecting ice on these lines have limitations, particularly in challenging environment…
View article: Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion Models
Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion Models Open
Diffusion models (DMs) are regarded as one of the most advanced generative models today, yet recent studies suggest that they are vulnerable to backdoor attacks, which establish hidden associations between particular input patterns and mod…
View article: Simulation of a Mathematical Model of Rail Transportation Scheduling Based on Bp Neural Network
Simulation of a Mathematical Model of Rail Transportation Scheduling Based on Bp Neural Network Open
Rail transportation, a cornerstone of modern logistics and passenger transit systems, plays a pivotal role in facilitating the efficient movement of goods and people across vast distances. Operating on a network of interconnected tracks, r…
View article: A Three-Stage Model for Camouflaged Object Detection
A Three-Stage Model for Camouflaged Object Detection Open
View article: Detecting Camouflaged Objects via Multi-Stage Coarse-to-Fine Refinement
Detecting Camouflaged Objects via Multi-Stage Coarse-to-Fine Refinement Open
Camouflaged objects are typically assimilated into their surroundings. Consequently, in contrast to generic object detection/segmentation, camouflaged object detection proves to be considerably more intricate due to the indistinct boundari…
View article: Parameter Estimation of Communication Radar Fusion System Based on Orthogonal Frequency Division Multiplexing Technology
Parameter Estimation of Communication Radar Fusion System Based on Orthogonal Frequency Division Multiplexing Technology Open
The development of communication and radar fusion systems is critical to enhancing sensor network security. However, in spectrum resource environments, the technology for processing fusion signals may face limitations due to multi-user acc…
View article: Analysis of Error Sources in the Lissajous Scanning Trajectory Based on Two-Dimensional MEMS Mirrors
Analysis of Error Sources in the Lissajous Scanning Trajectory Based on Two-Dimensional MEMS Mirrors Open
Deviations or distortions in the trajectoy of MEMS-based Lissajous scanning imaging platforms might be detrimental to imaging quality. These deviations often arise from differences in MEMS mirror frequency response characteristics and asym…
View article: Newly Designed Identification Scheme for Monitoring Ice Thickness on Power Transmission Lines
Newly Designed Identification Scheme for Monitoring Ice Thickness on Power Transmission Lines Open
Overhead power transmission line icing (PTLI) disasters are one of the most severe dangers to power grid safety. Automatic iced transmission line identification is critical in various fields. However, existing methods primarily focus on th…
View article: Newly Designed Identification Scheme for Ice Thickness on Power Transmission Lines Monitoring
Newly Designed Identification Scheme for Ice Thickness on Power Transmission Lines Monitoring Open
Overhead power transmission line icing (PTLI) disasters are one of the most severe dangers to power grid safety. Automatic iced transmission line identification is critical in various fields. However, existing methods primarily focus on th…
View article: ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images Open
Structured text extraction is one of the most valuable and challenging application directions in the field of Document AI. However, the scenarios of past benchmarks are limited, and the corresponding evaluation protocols usually focus on t…
View article: A bioinspired three-stage model for camouflaged object detection
A bioinspired three-stage model for camouflaged object detection Open
Camouflaged objects are typically assimilated into their backgrounds and exhibit fuzzy boundaries. The complex environmental conditions and the high intrinsic similarity between camouflaged targets and their surroundings pose significant c…
View article: Pharmacokinetics of Voriconazole in Peritoneal Fluid of Critically Ill Patients
Pharmacokinetics of Voriconazole in Peritoneal Fluid of Critically Ill Patients Open
Data on the distribution of voriconazole (VRC) in the human peritoneal cavity are sparse. This prospective study aimed to describe the pharmacokinetics of intravenous VRC in the peritoneal fluid of critically ill patients.
View article: Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study
Developing an Interpretable Machine Learning Model to Predict in-Hospital Mortality in Sepsis Patients: A Retrospective Temporal Validation Study Open
Background: Risk stratification plays an essential role in the decision making for sepsis management, as existing approaches can hardly satisfy the need to assess this heterogeneous population. We aimed to develop and validate a machine le…
View article: PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector
PP-YOLOE-R: An Efficient Anchor-Free Rotated Object Detector Open
Arbitrary-oriented object detection is a fundamental task in visual scenes involving aerial images and scene text. In this report, we present PP-YOLOE-R, an efficient anchor-free rotated object detector based on PP-YOLOE. We introduce a ba…
View article: PP-StructureV2: A Stronger Document Analysis System
PP-StructureV2: A Stronger Document Analysis System Open
A large amount of document data exists in unstructured form such as raw images without any text information. Designing a practical document image analysis system is a meaningful but challenging task. In previous work, we proposed an intell…
View article: Intelligent Fault Diagnosis for Inertial Measurement Unit through Deep Residual Convolutional Neural Network and Short-Time Fourier Transform
Intelligent Fault Diagnosis for Inertial Measurement Unit through Deep Residual Convolutional Neural Network and Short-Time Fourier Transform Open
An Inertial Measurement Unit (IMU) is a significant component of a spacecraft, and its fault diagnosis results directly affect the spacecraft’s stability and reliability. In recent years, deep learning-based fault diagnosis methods have ma…
View article: The neutrophil-to-lymphocyte ratio: A potential predictor of poor prognosis in adult patients with trauma and traumatic brain injury
The neutrophil-to-lymphocyte ratio: A potential predictor of poor prognosis in adult patients with trauma and traumatic brain injury Open
Purpose This study aimed to determine the prognostic impact of the neutrophil-to-lymphocyte ratio (NLR) in critically ill trauma patients. Methods This retrospective study involved adult trauma patients from 335 intensive care units (ICUs)…
View article: Energy-Saving Applications Based on Train Mass Online Learning Using Time-Varying Train Model
Energy-Saving Applications Based on Train Mass Online Learning Using Time-Varying Train Model Open
The current train model of the train control system is unable to accurately reflect the influence of nonlinear running resistance, line conditions, the mutative train mass value, and external environment changes on the model in train dynam…
View article: PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System
PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System Open
Optical character recognition (OCR) technology has been widely used in various scenes, as shown in Figure 1. Designing a practical OCR system is still a meaningful but challenging task. In previous work, considering the efficiency and accu…
View article: PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit
PaddleSpeech: An Easy-to-Use All-in-One Speech Toolkit Open
PaddleSpeech is an open-source all-in-one speech toolkit. It aims at facilitating the development and research of speech processing technologies by providing an easy-to-use command-line interface and a simple code structure. This paper des…
View article: PP-Matting: High-Accuracy Natural Image Matting
PP-Matting: High-Accuracy Natural Image Matting Open
Natural image matting is a fundamental and challenging computer vision task. It has many applications in image editing and composition. Recently, deep learning-based approaches have achieved great improvements in image matting. However, mo…
View article: PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model
PP-LiteSeg: A Superior Real-Time Semantic Segmentation Model Open
Real-world applications have high demands for semantic segmentation methods. Although semantic segmentation has made remarkable leap-forwards with deep learning, the performance of real-time methods is not satisfactory. In this work, we pr…
View article: Developing an Interpretable Machine Learning Model to Predict In-Hospital Mortality in Sepsis Patients: A Retrospective Study of MIMIC-IV
Developing an Interpretable Machine Learning Model to Predict In-Hospital Mortality in Sepsis Patients: A Retrospective Study of MIMIC-IV Open
Background: Risk stratification plays an essential role in the decision-making of sepsis management, whereas neither a single serum biomarker nor traditional scoring tools can satisfy the need to assess this heterogeneous population compre…
View article: In-Depth Reform and Practice of Theory-Practice Integration in Core Curriculum of Electrical Majors in New Engineering and Technical Disciplines
In-Depth Reform and Practice of Theory-Practice Integration in Core Curriculum of Electrical Majors in New Engineering and Technical Disciplines Open
By studying the international mainstream advanced engineering education concepts and modes for the undergraduate training of top talents, this article explores and proposes a research teaching reform that integrates theory and practice in …