- Simulation and Modeling Applications
- Advanced Decision-Making Techniques
- Technology and Security Systems
- Functional Brain Connectivity Studies
- Building Energy and Comfort Optimization
- Industrial Vision Systems and Defect Detection
- Image and Signal Denoising Methods
- Medical Imaging Techniques and Applications
- Folklore, Mythology, and Literature Studies
- Chinese history and philosophy
- Higher Education and Teaching Methods
- Safety and Risk Management
- AI and HR Technologies
- Terrorism, Counterterrorism, and Political Violence
- Stability and Controllability of Differential Equations
- Gait Recognition and Analysis
- AI-based Problem Solving and Planning
- Dielectric properties of ceramics
- Transcranial Magnetic Stimulation Studies
- Energy Load and Power Forecasting
- E-commerce and Technology Innovations
- Stock Market Forecasting Methods
- Hydrological Forecasting Using AI
- Architecture, Modernity, and Design
- Structural Response to Dynamic Loads
Hubei University of Technology
2007-2025
Chengdu University
2024
University of Hong Kong
2024
Zhejiang University
2022-2023
National Centre for the Performing Arts
2023
Zhejiang Sci-Tech University
2020-2022
Heilongjiang University of Science and Technology
2021
Jimei University
2020
Hubei University
2018-2019
Anhui University
2019
The strong coupling between antiferromagnetism and ferroelectricity at room temperature found in BiFeO3 generates high expectations for the design development of technological devices with novel functionalities. However, multi-domain nature material tends to nullify properties interest complicates thorough understanding mechanisms that are responsible those properties. Here we report realization a thin film form single-domain behaviour both its magnetism ferroelectricity: entire shows...
As urbanization rapidly increases, the design of outdoor spaces in high-density urban environments has become crucial for promoting public health. This study investigates health impacts architecture-dominated spaces, particularly focusing on small decentralized around buildings. The research aims to develop a comprehensive evaluation framework that quantifies influence various factors such as comfort, safety, diversity, and ecology. Using fuzzy Delphi method (FDM) Analytic Hierarchy Process...
Due to the lack of accurate data and complex parameterization, prediction groundwater depth is a challenge for numerical models. Machine learning can effectively solve this issue has been proven useful in many areas. In study, two new models are applied Ningxia area, China. The combine improved dung beetle optimizer (DBO) algorithm with deep models: Multi-head Attention–Convolution Neural Network–Long Short Term Memory networks (MH-CNN-LSTM) Network–Gated Recurrent Unit (MH-CNN-GRU). DBO...
Gait recognition is widely used in diversified practical applications. Currently, the most prevalent approach to recognize human gait from RGB images, owing progress of computer vision technologies. Nevertheless, perception capability cameras deteriorates rough circumstances, and visual surveillance may cause privacy invasion. Due robustness non-invasive feature millimeter wave (mmWave) radar, radar-based has attracted increasing attention recent years. In this research, we propose a...
In this paper, we develop a new triangular fuzzy series combination forecasting method based on discrete difference equation model and PSO-SVR, use the developed to power load forecasting. First, propose (TFDDE) predict series, which can accurately fluctuating trend is suitable for small sample data. Then, support vector regression optimized by particle swarm optimization (PSO-SVR) adopted further improve forecast result of TFDDE model, in parameters are optimally obtained algorithm so as...
Aiming at the destruction of ecological environment comprehensive geological structure, traditional restoration countermeasures have problems high input cost and low economic benefits. For this reason, process structure were proposed. The common characteristics impact activities on in mining area analyzed. Based analysis results, an evaluation system for degree damage to by was constructed. According expert scoring method, a rating standard developed measure environment. Depending damage,...
Monotonous and repetitive tasks cause vigilance, or sustained attention decrement, which possibly leads to irreparable accident consequences in the aerospace nuclear industry. Buffering decrement of vigilance visual search is essential for cognitive enhancement ergonomic research. This study aimed evaluate efficacy anodal transcranial direct current stimulation (tDCS) applied left frontal eye field (FEF) improve performance search. Twenty-seven healthy participants received sham tDCS 2 mA...
In the past 20 years, computer-aided design (CAD) technology enabled architects and structural engineers getting rid of manual drawing, greatly improved work efficiency.In recent as emergence popularity informational architectural design, BIM (Building Information Modeling) has promoted three-dimensional construction a three-dimensional, which have become hot field development building construction.Thus, teaching practice innovation flourished at many colleges universities nationwide.In view...
The combination of horizontal curves and gradients can lead to visual perception errors by drivers, resulting in risky operations. While plant landscapes serve guide road alignment alleviate driver stress, irrational obstruct the driver’s view, leading traffic accidents. This study aims explore optimal configuration on horizontal–vertical curve sections. standard deviation speed lateral displacement were selected as two important measures vehicle stability, four crucial factors identified:...
Comprehensively promoting rural revitalization and accelerating the construction of an agricultural power are important measures for comprehensive a modern national strategy. Under this strategic guidance, supply chain finance is particularly crucial as it vital development small medium-sized enterprises farmers. However, ordinary farmers, enterprises, core all face financing credit risks throughout chain. These challenges constrain their growth. This thesis first analyzes current status...
Whole slide image (WSI) analysis is gaining prominence within the medical imaging field. However, previous methods often fall short of efficiently processing entire WSIs due to their gigapixel size. Inspired by recent developments in state space models, this paper introduces a new Pathology Mamba (PAM) for more accurate and robust WSI analysis. PAM includes three carefully designed components tackle challenges enormous size, utilization local hierarchical information, mismatch between...
ParaModel is an extensible system for simplifying the development of parallel applications, by providing a unified user interface modeling visually while generating different code skeletons according to specific runtime environment automatically. A set construction blocks and rules designed describe applications in form graph, parsers environments are implemented translate graph source skeletons. basing on Eclipse compatible with its plug-in architecture. With help ParaModel, developers can...
The thermal environment of a building plays direct role in the energy consumption building. Veranda, considered as common element hot summer and very cold zone, connects indoor outdoor spaces provides transitional space for It has certain influences on use space. In this paper, veranda east side Wuhan, China is taken research subject, data settings are collected through network field sensors. characteristics then studied, insulation effects comprehensively investigated. statistical results...
The Air-conditioning System (ACS), used in office buildings the hot summer and cold winter zone of China, are always operate intermittently. dynamic thermal behaviors building walls with real climate conditions may be different from those only representative day’s conditions, due to time varying nature climate, which will lead variation ACS loads. A numerical calculation was performed analyze effects insulation form on heat behavior external results indicate that cooling transmission load...
In this paper, the representation and reasoning of uncertainty in field tactical intention recognition are analyzed studied. An intelligent command control decision support process based on deep reinforcement learning fuzzy multi-entity Bayesian network is proposed. On basis, a method also proposed probability ontology constructed. The experimental results show that paper feasible provides new solution for uncertain information battlefield situation estimation.