A5101888875- Infrastructure Maintenance and Monitoring
- BIM and Construction Integration
- Construction Project Management and Performance
- Structural Health Monitoring Techniques
- Imbalanced Data Classification Techniques
- Geotechnical Engineering and Analysis
- Dam Engineering and Safety
- Dental Implant Techniques and Outcomes
- Dental Radiography and Imaging
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
- Logic, Reasoning, and Knowledge
- Software Engineering Research
- Medical Imaging and Analysis
- Landslides and related hazards
- Stock Market Forecasting Methods
- Mobile Agent-Based Network Management
- Structural Engineering and Vibration Analysis
- Concrete Corrosion and Durability
- Forecasting Techniques and Applications
- Hydrology and Sediment Transport Processes
- Financial Distress and Bankruptcy Prediction
- Asphalt Pavement Performance Evaluation
- Innovative concrete reinforcement materials
- Multi-Agent Systems and Negotiation
Tarim University
2025
National Clinical Research Center for Digestive Diseases
2022-2025
Peking University
2016-2025
National Clinical Research
2024
National Taiwan University of Science and Technology
2012-2021
Hokkaido University
2021
Stomatology Hospital
2016
Centre National de la Recherche Scientifique
2009
Accurate apple yield estimation is essential for effective orchard management, market planning, and ensuring growers’ income. However, complex conditions, such as dense foliage occlusion overlapping fruits, present challenges to large-scale estimation. This study introduces APYOLO, an enhanced detection algorithm based on improved YOLOv11, integrated with the DeepSORT tracking improve both accuracy operational speed. APYOLO incorporates a multi-scale channel attention (MSCA) mechanism prior...
An effective method for optimizing high-performance concrete mixtures can significantly benefit the construction industry. However, traditional proportioning methods are not sufficient because of their expensive costs, limitations use, and inability to address nonlinear relationships among components properties. Consequently, this research introduces a novel genetic algorithm (GA)–based evolutionary support vector machine (GA-ESIM), which combines K-means chaos (KCGA) with inference model...
The accuracy of three-dimensional (3D) reconstructions from cone-beam computed tomography (CBCT) has been particularly important in dentistry, which will affect the effectiveness diagnosis, treatment plan, and outcome clinical practice. aims this study were to assess linear, volumetric, geometric 3D CBCT investigate influence voxel size system on results.Fifty teeth 18 orthodontic patients assigned three groups as NewTom VG 0.15 mm group (NewTom VG; size: mm; n = 17), 0.30 16), VATECH DCTPRO...
The ability to accurately forecast future trends in the Construction Cost Index (CCI) is critical for construction cost managers prepare accurate budgets owners and proper bids contractors. However, CCI forecasting accuracy affected by concurrent fluctuations numerous factors (e.g., domestic/international economic conditions, indicators, price of energy). main contribution this study body knowledge creation a new procedure novel inference model, self-adaptive structural radial basis neural...
Scouring of bridge piers is a major cause failure worldwide. Thus, designing safe depths for new foundations and assessing/monitoring the safety existing are critical to reducing risk collapse subsequent potential losses in terms life property. This paper develops tests evolutionary radial basis function neural network (ERBFNN) as model forecast scour depth at piers. The ERBFNN an artificial intelligence (AI) inference that integrates (RBFNN) bee colony (ABC). In ERBFNN, RBFNN handles...
Nowadays, biodiesel is used as one of the alternative renewable energy due to increasing demand. However, optimum production still requires a huge number expensive and time-consuming laboratory tests. To address problem, this research develops novel Genetic Algorithm-based Evolutionary Support Vector Machine (GA-ESIM). The GA-ESIM an Artificial Intelligence (AI)-based tool that combines K-means Chaotic Algorithm (KCGA) Inference Model (ESIM). ESIM utilized supervised learning technique...
Chlorophyll is crucial for pear tree growth and fruit quality. In order to integrate the unmanned aerial vehicle (UAV) multispectral vegetation indices textural features realize estimation of SPAD value leaves, this study used UAV remote sensing images ground measurements extract features, analyze their correlation with leaves during expansion period tree. Finally, four machine learning methods, namely XGBoost, random forest (RF), back-propagation neural network (BPNN), optimized integration...
This clinical report aimed to compare the scanning accuracy of SRA, and a novel extended scan body in edentulous patients. Through quantitative analysis, study provided data support for oral prosthodontics digital treatments. Edentulous patients with six Straumann bone-level implants were selected. The was compared standard model derived from traditional impressions evaluate accuracy. SRA bodies showed lower (46 ± 45 μm), while Segma an structure achieved significantly higher (20 2 μm)....