A5115053689- Photopolymerization techniques and applications
- Spine and Intervertebral Disc Pathology
- Scoliosis diagnosis and treatment
- Spinal Fractures and Fixation Techniques
- Nanofabrication and Lithography Techniques
- Software Reliability and Analysis Research
- Water Treatment and Disinfection
- Advanced Nanomaterials in Catalysis
- Video Surveillance and Tracking Methods
- Generative Adversarial Networks and Image Synthesis
- Advanced Battery Materials and Technologies
- Hydraulic and Pneumatic Systems
- Robotics and Sensor-Based Localization
- 3D Printing in Biomedical Research
- Dielectric materials and actuators
- Photochromic and Fluorescence Chemistry
- Vacuum and Plasma Arcs
- Higher Education Governance and Development
- Water Quality Monitoring Technologies
- Advanced Image and Video Retrieval Techniques
- Software Engineering Research
- Time Series Analysis and Forecasting
- Energetic Materials and Combustion
- Thermal properties of materials
- Magnetic Field Sensors Techniques
Hubei University
2024
Hubei University for Nationalities
2024
Beijing Information Science & Technology University
2024
Fuzhou University
2024
Shanghai Jiao Tong University
2023-2024
Beijing University of Chemical Technology
2024
Southern University of Science and Technology
2023
Belarusian State University
2023
Harbin Institute of Technology
2022
Wuhan University of Science and Technology
2022
A new resistive current extraction method based on orthogonality between the capacitive and (COM) is presented. Orthogonality of metal-oxide surge arrester (MOSA) in low region proven. The MOSA can be obtained accurately, regardless harmonic voltage. Several algorithms include point-on-wave method, compensation analysis proposed are used to extract simulated voltage leakage signal, study influence model parameters, capacitance, integral harmonics, noninteger harmonics signal frequency...
Abstract To enhance the quality of life and ensure sustainability in crowded cities, safe management drinking water using cutting-edge technologies is a priority. This study developed an intelligent early warning system (EWS) for alarming controlling risks from bacteria disinfection byproducts distribution (DWDS), named BARCS (Bacterial Risk Controlling System). adopts artificial intelligence (AI) approach to data-driven prediction considers total chlorine (TCl) concentration as pivot...
Abstract A thermal conductive structural adhesive (TCSA) plays a crucial role in battery performance and safety. TCSA made of polyurethane (PU) has not only good conductivity but also mechanical strength substrate bonding strength. However, it to be cost‐effective easy prepared. This work aims synthesize series castor oil‐based PU TCSAs with different amounts powder using commercially available oil polyols, isocyanates, Al 2 O 3 , additives. The shear the containing 88% thermally reached 5.6...
Software vulnerability detection is evolving from pattern-driven methods to data-driven be more automatic and intelligent due the emergence of deep learning. However, false positives coarse-grained can not tackle changeable unknown threats (e.g., Oday vulnerabilities), also low model interpretability leads incontinent results or maliciously being manipulated. To enhance confidence interpretability, in this paper, we propose an Interpretable signature (IVSign) scheme combine methods. In...
Wearable electronics with flexible solar cells are becoming increasingly important for continually on-body monitoring of physiological signals health control. Previously reported cell systems have been fabricated via the development new materials and then simply connecting to sensor patches by metal wires, leading high-cost low reproductivity. Thus, fabrication fully integrated platforms existed technologies rather extremely challenging substantially underdeveloped. Here, a perovskite net...
High power density wet friction components are crucial in heavy equipment transmission systems, directly influencing reliability. This paper proposes a fuzzy comprehensive evaluation method with combined weighting, which dynamically divides the performance degradation of into three stages. It constructs multi-indicator, multi-level system, data is obtained from clutch accelerated life test. Additionally, we utilize weighting to allocate weights for indicators at different stages and...
Low back pain is a common complication in patients with old thoracolumbar fractures kyphosis (OTLFK), and intervertebral disc degeneration (IDD) major contributor. Mechanical abnormalities are believed to play key role the development IDD. This study aimed investigate characteristics of lumbar underlying mechanical mechanisms OTLFK. A total 52 OTLFK were included from February 2017 March 2023 as observation group (OG). control (CG) individuals chronic low matched for age, body mass index,...
Old thoracolumbar fracture with kyphosis (OTLFK) often results in low back pain, intervertebral disc degeneration being a significant contributor. We hypothesized that patients OTLFK exhibit distinct patterns of compared to those chronic pain without kyphotic deformity. This study aimed investigate the characteristics and explore its association sagittal spinal parameters endplate injury. A retrospective analysis was conducted on 52 (observation group, OG) 104 age-, gender-, BMI-matched...
Binary code similarity detection (BinSD) systems trend to utilize deep learning identify semantic features of assembly and exhibits superior performance, gaining increasing popularity against traditional methods. However, it has been observed that existing models are susceptible data poisoning attacks, posing a latent threat the robustness reliability BinSD. Existing strategies in BinSD easily detectable for generated triggers will destroy functions. Moreover, selecting trigger injection...
Abstract PDMS (Polydimethylsiloxane) chips are increasingly important for the application of fluorescence measurements due to their auto-fluorescence free, excellent transparency, and biocompatibility. However, design microfluidic requires fabricate plenty molds structure optimization, resulting in high cost. In present, with nafion membrane were fabricated by simple low-cost method bull serum albumin (BSA) enrichment. To optimize laser cutting bonding parameters, simulation models...
The GAN model consists of an LSTM as the time series generator and ANN discriminator, using simple moving average exponentially weighted results input features for network, followed by Fourier transform, ARIMA to create features, finally XGBoost filter final prediction data. network is generally used adversarial image generation, usually trained two separate alternating networks: recognition first, then generation so on, until a Nash equilibrium reached. power that it can automatically...
The higher education plays an important role in the development of a country. Research on this issue may serve as reference for countries to build healthy and sustainable system. We reviewed literature created dataset Higher Education Evaluation Dataset (HEED) problem based collected data interpolation algorithms. Based Analytic Hierarchy Process (AHP) Entropy Weighting Method (EWM), we established weights dimension indicator layers, then used TOPSIS method calculate health score national...