A5100332238- Geophysical Methods and Applications
- Geophysical and Geoelectrical Methods
- Geotechnical Engineering and Underground Structures
- Power Systems Fault Detection
- Rock Mechanics and Modeling
- Video Surveillance and Tracking Methods
- Smart Grid and Power Systems
- Energetic Materials and Combustion
- Remote Sensing in Agriculture
- Traffic Prediction and Management Techniques
- Seismic Waves and Analysis
- Autonomous Vehicle Technology and Safety
- Advanced DC-DC Converters
- Numerical methods in engineering
- Power Systems and Technologies
- Remote-Sensing Image Classification
- Photovoltaic System Optimization Techniques
- Water resources management and optimization
- Advanced Battery Technologies Research
- Sustainable Building Design and Assessment
- Advanced Data and IoT Technologies
- Visual Attention and Saliency Detection
- Industrial Vision Systems and Defect Detection
- Combustion and Detonation Processes
- Anomaly Detection Techniques and Applications
China Jiliang University
2023-2024
Xiamen University
2024
Beijing Institute of Technology
2024
First Affiliated Hospital of Zhengzhou University
2021-2023
Shandong University
2021-2023
Hainan University
2023
Wenzhou University
2023
Tongji University
2023
Hunan Agricultural University
2023
China Academy of Building Research
2022
Behavior prediction in dynamic, multi-agent systems is an important problem the context of self-driving cars, due to complex representations and interactions road components, including moving agents (e.g. pedestrians vehicles) information lanes, traffic lights). This paper introduces VectorNet, a hierarchical graph neural network that first exploits spatial locality individual components represented by vectors then models high-order among all components. In contrast most recent approaches,...
Predicting the future behavior of moving agents is essential for real world applications. It challenging as intent agent and corresponding unknown intrinsically multimodal. Our key insight that prediction within a moderate time horizon, modes can be effectively captured by set target states. This leads to our target-driven trajectory (TNT) framework. TNT has three stages which are trained end-to-end. first predicts an agent's potential states $T$ steps into future, encoding its interactions...
Land-cover mapping is an important research topic with broad applicability in the remote-sensing domain. Machine learning algorithms such as Maximum Likelihood Classifier (MLC), Support Vector (SVM), Artificial Neural Network (ANN), and Random Forest (RF) have been playing role this field for many years, although deep neural networks are experiencing a resurgence of interest. In article, we demonstrate early efforts to apply learning-based classification methods large-scale land-cover...
Glioma stem cells (GSCs) contribute to the malignant growth of glioma, but little is known about interaction between GSCs and tumor microenvironment. Here, we found that intense infiltration regulatory T (Tregs) facilitated qualities through TGF-β secretion helped coordinately growth. Mechanistic investigations indicated acted on cancer induce core cell-related genes CD133, SOX2, NESTIN, MUSASHI1 ALDH1A expression spheres formation via NF-κB-IL6-STAT3 signaling pathway, resulting in...
Myeloid-derived suppressor cells (MDSCs) were found to gradually accumulate in the orthotopic esophageal cancer mouse model during tumor progression. Although roles of MDSCs promoting growth and inhibiting immune response have been extensively explored, currently, there are still no effective means for targeting clinically. The deficiency specific markers was responsible limited strategy eliminating clinic. This study identified that GPR84 exclusively overexpressed on MDSCs. It further...
Automatic Check-Out (ACO) receives increased interests in recent years. An important component of the ACO system is visual item counting, which recognizes categories and counts items chosen by customers. However, training such a challenged domain adaptation problem, data are images from isolated while testing for collections items. Existing methods solve this problem with augmentation using synthesized images, but image synthesis leads to unreal that affect process. In paper, we propose new...
Background: The pathological mechanism of knee osteoarthritis (KOA) is unknown. KOA degeneration may be associated with changes in muscle strength, proprioception, biomechanics, and postural stability. Objective: This study aimed to assess asymmetries stability bilateral lower limbs patients unilateral healthy controls analyze correlations between these parameters. Methods: A total 50 (age range: 50-70) subjects were recruited as participants 50-70). Muscle femorotibial angle (FTA), femoral...
As more and vehicles are being introduced into the urban streets every year, congestion has become a serious problem in context of transport around world. A desirable strategy to deal with such issues is shift people from personal public by providing better service (comfort, convenience so on). Travel time information vital component many intelligent transportation systems (ITS) applications. In this context, advanced (APTS) one most important ITS applications, which can significantly...
Behavior prediction in dynamic, multi-agent systems is an important problem the context of self-driving cars, due to complex representations and interactions road components, including moving agents (e.g. pedestrians vehicles) information lanes, traffic lights). This paper introduces VectorNet, a hierarchical graph neural network that first exploits spatial locality individual components represented by vectors then models high-order among all components. In contrast most recent approaches,...
To improve the safety of ammonium nitrate explosives, a one-step method involving formation CL-20/TATB/VitonA composite microspheres using spray drying is presented. The crystal morphology, particle size, structure, thermal properties, and sensitivity raw materials CL-20 TATB, CL-20/VitonA particles, were characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), differential calorimetry (DSC), impact friction tests. SEM results show that prepared composites with...
This study aimed to elaborate on the role of salt concentration pickled Brassica napus leaf and stem (BLS); it also contributed development low-salt healthy products in harvest period. Five sets BLS samples were prepared, physicochemical parameters, free amino acids (FAAs), volatile flavor components (VFCs) analyzed after fermentation. Results showed that some antioxidants, FAAs, VFCs underwent dynamic changes during Nitrite increased with an increase used for Pickled contained a wide range...
The heating rate of the core layer plywood during hot-pressing is great importance to final quality and affected by many factors, such as temperature (THP), pressure (PHP), time (tHP), veneer layers, moisture content. In this study, multi-plywood using modified soy protein (MSP) adhesives prepared investigate effects THP, tHP, layers on hot-pressing. results indicated that all curves were divided into four stages. first constant stage slow warming decisive with respect needed for reach THP....
Abstract A novel composite microsphere of 2,4,6,8,10,12‐hexanitrohexaazaisowurtzitane (CL‐20) and 2,6‐diamino‐3,5‐dinitropyrazine‐1‐oxide (LLM‐105) were fabricated by spray drying technology. The morphology, structure thermal behavior the obtained particles characterized via scanning electron microscopy (SEM), fourier transform infrared spectroscopy (FT‐IR), powder x‐ray diffraction (PXRD) differential calorimetry (DSC). SEM results demonstrated that LLM‐105/CL‐20 microspheres in range 1–3...