A5100423615- Building Energy and Comfort Optimization
- Rock Mechanics and Modeling
- Advanced Sensor and Control Systems
- Catalytic Processes in Materials Science
- Hygrothermal properties of building materials
- Advanced Numerical Analysis Techniques
- Air Quality and Health Impacts
- Power Transformer Diagnostics and Insulation
- Gear and Bearing Dynamics Analysis
- Fire Detection and Safety Systems
- Fault Detection and Control Systems
- Anomaly Detection Techniques and Applications
- Mineral Processing and Grinding
- Heat Transfer and Boiling Studies
- Engineering Applied Research
- Chemical Looping and Thermochemical Processes
- Identification and Quantification in Food
- Machine Fault Diagnosis Techniques
- Wind Energy Research and Development
- Analog and Mixed-Signal Circuit Design
- Energy Efficiency and Management
- Gaussian Processes and Bayesian Inference
- Heat Transfer Mechanisms
- Technical Engine Diagnostics and Monitoring
- Machine Learning and Data Classification
Xi'an Jiaotong University
2022-2025
Children's Hospital of Zhejiang University
2023-2024
Ministry of Agriculture and Rural Affairs
2024
Nanjing Agricultural University
2024
Shandong Freshwater Fisheries Research Institute
2024
Chinese Academy of Fishery Sciences
2022-2024
China University of Petroleum, Beijing
2024
Nanjing Tech University
2023-2024
Tianjin Research Institute of Electric Science (China)
2023
Chongqing University
2023
Sentiment analysis of netizens’ comments can accurately grasp the psychology netizens and reduce risks brought by online public opinion. However, there is currently no effective method to solve problems short text, open word range, sometimes reversed order in comments. To better above problems, this article proposes a hybrid model sentiment classification, which based on bidirectional encoder representations from transformers (BERT), long short-term memory (BiLSTM) text convolution neural...
Taking long-term high-frequency electricity price data as the research content, this paper proposes seasonal and trend decomposition using loess-temporal convolutional network-neural basis expansion analysis for an interpretable time series forecasting (STL-TCN-NBEATS) model to solve problems of low forecast accuracy caused by high volatility, frequency nonlinearity poor interpretability deep learning model. By comparing effects temporal network-long short-term memory (TCN-LSTM), LSTM other...
Reduced-order modeling stands as a pivotal method in curbing the computational expenses linked with expansive fluid dynamics quandaries by employing proxy numerical simulations. Within this realm, downscaling and reconstruction methods serve fundamental constituents of reduced-order modeling. The traditional intrinsic orthogonal decomposition relies on linear mapping, often relinquishing substantial amount nonlinear flow information within field. Meanwhile, autoencoders equipped...
Synthetic ester and blended insulating oils have attracted widespread attention owing to their great potential on performance enhancement because of the high capacity with tailorable molecular structure mixable components. In this work, natural oil (FR3) is into synthetic tetra-ester (KA) via mixing oscillating. The physicochemical electrical property measurements blends indicate that flash point, fire ac breakdown voltage KA are capable be increased, dissipation factor reduceable by...
Rock mass classification is of great significance in guiding the design and construction tunnels, which often determined through single‐factor or multi‐factor methods based on some readily available rock indices, for example, dynamic elastic modulus, degree tectonization, so forth. Although these work reasonably well cases, they tend to lead inaccurate results due pre‐selected main factor function forms, especially tunnels with complex geological conditions. Alternatively, may be achieved...
As a core cooling device of reactor, high temperature sodium heat pipe is designed in this paper which has large aspect ratio 126. The effects heating mode and evaporation section length on its start-up are studied experimentally. results show that the axial uniformity better under variable power mode. cross-section increases, thermal resistance decreases by 50%. Compared with pipes low ratio, more difficult to start up. Furthermore, numerical simulation conducted acquire velocity pressure...
Background Chinese pediatricians are facing challenges, and there is a need to examine the issue of negative emotions, namely, stress, anxiety depression, among front-line pediatric residents in clinical settings. Understanding current situation influencing factors emotions China exploring formation mechanism can lay foundation for psychological interventions. Methods A total 138 Children's Hospital, Zhejiang University School Medicine, China, were surveyed using Depression Anxiety Stress...
Research into the impact of road accidents on drivers is essential to effective post-crash interventions. However, due limited data and resources, current research focus mainly those who have suffered severe injuries. In this paper, we propose a novel approach examining that being involved in crash has by using traffic surveillance data. video systems, locations vehicles at different moments time are captured their headway, which an important indicator driving behavior, can be calculated...
Abstract In recent years, China has made great efforts to promote prefabricated concrete bridge technology. However, due the construction quality problems, application of technology is limited. BIM can be applied whole life cycle a project, which new way solve problem. This paper uses questionnaires investigate problems structures, necessity at various stages and effects are analyzed. The results show that Technology in each stage project improve some problems.
In response to the government's proposal properly control development of thermal power, vigorously develop planning distributed generation (DG), State Power Corporation has formulated corresponding policies promote DG. Based on neural network algorithm, it proposes reactive power optimization configuration basis location and capacity DG in distribution (PDN) establishes a mathematical model for this PDN with The research results reveal that by adding can effectively reduce grid loss voltage...
Medical humanities education is an integral component of medical education. However, the current landscape research on remains incomplete. The purpose this study to identify trends in and provide a global overview field by analysing various aspects such as sources, authors, literature, keywords. aim offer insights recommendations for future development
The water content in stable crude oil emulsions has been widely researched. However, the emulsion flowing conditions higher emulsified content, which affecting flow characteristics of oil-water two-phase gathering lines. This study focusses on exploring electrical associated with emulsions. To describe impedance emulsions, a RC equivalent circuit model was established basing frequency dispersion phenomenon due to interfacial polarization A stirring system different rotating rates developed...