A5101864077- Traffic and Road Safety
- Transportation Planning and Optimization
- Autonomous Vehicle Technology and Safety
- Radiomics and Machine Learning in Medical Imaging
- Traffic control and management
- Evaluation and Optimization Models
- Medical Imaging Techniques and Applications
- Traffic Prediction and Management Techniques
- Advanced Neural Network Applications
- Evaluation Methods in Various Fields
- Functional Brain Connectivity Studies
- Transportation Safety and Impact Analysis
- Robotic Path Planning Algorithms
- Neurosurgical Procedures and Complications
- Intracerebral and Subarachnoid Hemorrhage Research
- Glioma Diagnosis and Treatment
- Simulation and Modeling Applications
- Safety and Risk Management
- Topic Modeling
- Human Pose and Action Recognition
- Advanced Decision-Making Techniques
- Medical Image Segmentation Techniques
- Automotive and Human Injury Biomechanics
- Multimodal Machine Learning Applications
- Land Use and Ecosystem Services
First Affiliated Hospital of Jinan University
2024-2025
Tongji University
2018-2025
Heilongjiang Institute of Technology
2009-2024
The University of Adelaide
2023-2024
Huaiyin Institute of Technology
2022
Fudan University
2021
Heritage Christian University
2013
Jilin University
2009-2010
Objective: This study aimed to determine human papillomavirus (HPV)-related awareness and willingness receive HPV vaccination among college students, in Wenzhou, its associated factors. Methods: A cross-sectional epidemiological was conducted students Wenzhou investigate their knowledge, attitude, factors affecting vaccination. Results: total of 1035 questionnaires were collected, which 1002 valid (males: 374, females: 628). In total, 904 (90.2%) had heard HPV, with a lower rate males than...
Background This study aimed to investigate the clinical application of 18 F-FDG PET radiomics features for temporal lobe epilepsy and create radiomics-based machine learning models differentiating (TLE) patients from healthy controls. Methods A total 347 subjects who underwent scans March 2014 January 2020 (234 TLE patients: 25.50 ± 8.89 years, 141 male 93 female patients; 113 controls: 27.59 6.94 48 individuals 65 individuals) were allocated training ( n = 248) test 99) sets. All 3D images...
<div class="section abstract"><div class="htmlview paragraph">The technology of advanced intelligent driving systems equipped in and connected vehicles evolves rapidly, while the corresponding testing evaluation standards lag behind. To propose new methods for systems, this study first identifies typical functions through extensive research. Based on distribution characteristics natural scenarios, a series test cases these are developed. By employing simulation "logical...
<div class="section abstract"><div class="htmlview paragraph">The realism of simulation scenarios significantly impacts the performance object detection models. The confidence synthetic images generated by current simulators remains controversial. Verifying quality image generation methods is a prerequisite and foundation for using these robustness testing optimization Therefore, this paper aims to propose quantification evaluation scheme based on model. This serves as reference...
The coupling coordination relationship between regional highway transportation and new urbanization is an increasingly important issue in the field of sustainable development. This paper aims to establish index system develop integrated method measure urbanization. evaluation comprised two hierarchies, six aspects 19 indexes, which were weighted by entropy weight (EWM). Furthermore, a degree model (CDM) (CCDM) established based on statistical data from 2011 2017 Heilongjiang Province, China....
To analyze the risk factors influencing crash injury severity in rural-urban fringes, data fringes were collected from Harbin, China. Four factors, namely, time of day, vehicle type, road feature, and investigated associated with fringe crashes. The was divided into two categories, including fatal nonfatal crash. logistic regression applied to explore relationships between outcomes type. test methods goodness-of-fit badness-of-fit are conducted examine validity estimation results. results...
In view of the compulsory merging behavior and complex driving environment in freeway work zones, factors influencing drivers’ need to be focused on given road environment. Realizing mitigate impact such a challenging scenario, this study aims explore location selection zone areas. The survey data for modelling were collected through questionnaires based stated preference (SP) method. logistics regression model was utilized extract significant selection. results fitting effect analysis show...
For the driving of vehicle being complicated, freeway work zone has been one space zones, at which traffic congestion and various incidents occurred more frequently. Based on driver-vehicle-road (environment) system theory, contributing factors indices safety was given. The relations between were analyzed quantitatively by Decision Making Trial Evaluation Laboratory (DEMATEL) model basis analyzing inter-relations each pair with Delphi method. According to relation, effects discussed; then in...
Snow1 removal is an important job for urban traffic authority to keep smooth and safe, particularly cities in cold regions. Snow-fighting vehicle routing problem, mechanically removing measure, arc problem. However, the deadheading which vehicles may travel on a road covered by snow without serving it, unreasonable increasing cost. Therefore, optimization model constructed restrict allows only after has been serviced. Also, two-stage serial algorithm, first-clustering-then-routing, proposed...
In this paper, the personalized and common acceleration distribution characteristics of human driver are presented by using China-FOT. Firstly, how much data can get a convergent is discussed. Multivariate kernel density estimation kullback-leibler divergence utilized to compare each between datasets which consist different amount data. It found that 95% drivers achieve distributions within 200×104 driving Secondly, selected obtain drivers. The include: (1) all follow so-called dual triangle...
This paper measures the performance of taxi operators using data envelopment analysis (DEA) and improvement based on benchmarks. includes basic DEA models a cross efficiency model. In present work, sample set 20 are considered, an evaluation indicator framework is constructed, which mainly involves identification decision-making units (DMUs) determination input-output variables. The combined results multiple used to evaluate in case study Harbin. highlight significance application models,...
As a dangerous area of expressways, work zones are home to traffic congestion and various incidents frequently occur due the complicated status. According vehicles' driving characteristics in expressway literature review, 23 factors on zone safety selected from aspects driver, vehicle, road environment. Based finding out direct indirect relations among these factors, multilevel step-up structural model involved is developed using interpretative modeling (ISM) method. In terms results this...
Abstract Background To investigate the clinical application of 18 F-FDG PET radiomics features for temporal lobe epilepsy and create a radiomics-based model differentiating TLE patients from healthy controls. Methods A total 347 subjects that underwent scans March 2014 to January 2020 (234 113 controls) were allocated training (n = 242) test 105) sets. All images registered Montreal Neurological Institute template. PyRadiomics was used extract regions segmented according AAL atlas. The least...
This paper focuses on optimizing the deployment plan for standby points of professional rescue vessels based data maritime incidents in Beihai area China. The primary objective is to achieve multi-level and multiple coverage jurisdictional waters Rescue Bureau. Models including quality waters, high-risk areas, maximum areas are constructed solved using 0–1 integer programming. optimal eight their corresponding plans obtained. A comparison with current site selection Bureau validates...
With the development and application of vehicle-infrastructure cooperative technology, traffic regional safety related to intelligent connected vehicles (ICVs) has become hotspot transportation system (ITS), integration mixed autonomous non-autonomous that are not in intersection areas a significant challenge due rapid advancement vehicle technology. Autonomous intersections with strong-structure weak-rule characteristics pose potential hazard complex situations. Studying driving behavior is...
In recent years, there has been significant interest in creating 3D avatars and motions, driven by their diverse applications areas like film-making, video games, AR/VR, human-robot interaction. However, current efforts primarily concentrate on either generating the avatar mesh alone or producing motion sequences, with integrating these two aspects proving to be a persistent challenge. Additionally, while generation predominantly target humans, extending techniques animals remains challenge...
In the field of intelligent driving vehicle testing and evaluation, in order to achieve coverage scenarios, there are too many test scenarios required, it is difficult carry out all tests, relevant standards regulations lack specific parameters based on theoretical basis, resulting insufficient credibility persuasion. Based natural data China-FOT project provisions ECE R157 regulations, this paper classifieds extracts data. paper, type front car cut-out with fewer scenes but high analytical...
The use of stereotaxic brain templates in automatic neuroimage analysis has become the predominant technology. However, context experiment studies involving cynomolgus monkeys, there is a lack adequate templates. This gap poses challenge to effectively utilize monkeys neuroscience research. Considering dynamic changes structural morphology and functional maturity during development aging, particularly post-birth, improving accuracy image data necessitates construction series spanning all age...