A5102209800- Structural Behavior of Reinforced Concrete
- Structural Load-Bearing Analysis
- Rock Mechanics and Modeling
- Geophysical Methods and Applications
- Impact of Light on Environment and Health
- Image Enhancement Techniques
- Gaze Tracking and Assistive Technology
- Generative Adversarial Networks and Image Synthesis
- Fuel Cells and Related Materials
- Financial Literacy, Pension, Retirement Analysis
- UAV Applications and Optimization
- Circular RNAs in diseases
- Machine Learning and Data Classification
- Heart Rate Variability and Autonomic Control
- Advanced Neural Network Applications
- Domain Adaptation and Few-Shot Learning
- Underwater Vehicles and Communication Systems
- Human-Automation Interaction and Safety
- Infrared Target Detection Methodologies
- Robot Manipulation and Learning
- Prosthetics and Rehabilitation Robotics
- COVID-19 diagnosis using AI
- Embedded Systems and FPGA Design
- Mental Health Research Topics
- Educational Technology and Pedagogy
Xi’an Jiaotong-Liverpool University
2023-2024
City University of Hong Kong, Shenzhen Research Institute
2024
Shandong University
2024
Hubei Provincial Water Resources and Hydropower Planning Survey and Design Institute
2023
Shenzhen University
2022
Guangzhou University
2022
Tongji University
2022
First Affiliated Hospital of Bengbu Medical College
2022
University of Science and Technology Beijing
2021
Jinggangshan University
2021
Unrealistic optimism is common among people making self-evaluations while reduced has been linked to increased depressive symptoms. Given the importance of for adaptive functioning, surprisingly little known about resting brain states underlying optimistic and tendencies. In current study, two resting-state indices were used examine neural correlates default mode network (DMN) associated with self-evaluation tendencies in a non-clinical young adult sample (N = 49). The analysis was...
Long non-coding RNAs (lncRNAs) have become potential therapeutic targets or promising prognostic biomarkers in cancers. However, individual gene does not show sufficient value for clear cell renal carcinoma (ccRCC). Therefore, this study aims to develop a combined lncRNA signature the prognosis of ccRCC.The transcriptome profiling data confirmed ccRCC cases were obtained from The Cancer Genome Atlas (TCGA; https://portal.gdc.cancer.gov/). significance, survival time and diagnostic...
A weak interlayer is the key factor in controlling slope stability. It of great significance to effectively identify study spatial and temporal distribution law internal structure characteristics a landslide. Considering limitations traditional optical imaging wave speed test methods, this paper presents identification method based on borehole photo-acoustic combination measurement. By using acoustic scanning, multi-source data collection rock wall surrounding realized, which captures...
ABSTRACT Convolutional neural networks (CNNs) are well established in handling local features visual tasks; yet, they falter managing complex spatial relationships and long‐range dependencies that crucial for medical image segmentation, particularly identifying pathological changes. While vision transformer (ViT) excels addressing dependencies, their ability to leverage remains inadequate. Recent ViT variants have merged CNNs improve feature representation segmentation outcomes, yet...
In order to improve the accuracy and efficiency of deep in-situ stress measurement, based on wall collapse in borehole, a borehole measurement method multi-array ultrasonic scanning technology is proposed this paper. The solution idea using combination multiple elements for contour put forward, suitable fine horizontal section geological formed. Through analysis calculation principle hole caving derivation element algorithm, device developed by effective fusion full waveform signals...
In this study, an in-house higher-order, high resolution implicit CFD solver for Favre-averaged Navier-Stokes equation with two-equation turbulence model, which including fourth-order MUSCL TVD scheme Right-Hand-Side and LU-SGS-GE Left-Hand-Side, is implemented to run on a single Graphic Process Unit (GPU) using the Compute Unified Device Architecture (CUDA). The partly parallel model introduced we have got good acceleration model. case of VKI 59 used test accelerations. Results obtained GPU...
In recent years, service isolation and miniaturization have become very popular. The large services are dismantled into multiple low‐cost simple small to improve the scalability disaster tolerance of entire services. A network composed unmanned aerial vehicles (UAVs) MEC servers is proposed in this paper, which aims at decoupling SWIPT‐MEC network. network, UAVs take charge energy transmission calculation task scheduling focused on calculation. To meet resource requirements ground nodes...
Abstract With the development of robot technology, humanoid and human-robot interaction are gradually playing a more important role in our society. At present, arm control intelligent has become one hot research issues field robot. This paper proposes fuzzy based NAO hand method to reduce vibration increase position accuracy during object transferring between human. The 5-DOF kinematics model right is first established. Motion path planned conducted Matlab reality. impact period, joint speed...
Abstract Artistic style transfer is to render an image in the of another image, which a challenge problem both processing and arts. Deep neural networks are adopted artistic achieve remarkable success, such as AdaIN (adaptive instance normalization), WCT (whitening coloring transforms), MST (multimodal transfer), SEMST (structure-emphasized multimodal transfer). These algorithms modify content whole using only one algorithm, easy cause foreground background be blurred together. In this...
Few-shot learning stands as a prominent trend in the field of computer vision, with substantial applications vision tasks such image classification and semantic segmentation. It has gained popularity due to its potential reduce demand for resources ability lessen dependence on large datasets. However, generating high-performance models becomes challenging since this approach must generalize only from limited set samples. This challenge is particularly evident multi-label medical...
The identification of interfaces in protein complexes is effective for the elucidation function and helps us to understand their roles biological processes. With exponentially growing amount sequence data, an exploration new methods that predict interaction sites based solely on information becoming increasingly urgent. Because a combination different could produce better results than single method, site prediction can be improved through utilization methods. This paper describes method...