A5029463934- Colorectal Cancer Screening and Detection
- Optical measurement and interference techniques
- Esophageal Cancer Research and Treatment
- Advanced Measurement and Metrology Techniques
- Technology-Enhanced Education Studies
- Particle accelerators and beam dynamics
- Model Reduction and Neural Networks
- Gyrotron and Vacuum Electronics Research
- Soil Mechanics and Vehicle Dynamics
- Landslides and related hazards
- Laser Material Processing Techniques
- Neural Networks and Applications
- Radiomics and Machine Learning in Medical Imaging
- Physics of Superconductivity and Magnetism
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Surface Roughness and Optical Measurements
- Software System Performance and Reliability
- Gastroesophageal reflux and treatments
- Remote Sensing and Land Use
- Lung Cancer Diagnosis and Treatment
- AI in cancer detection
- Metaheuristic Optimization Algorithms Research
- Digital literacy in education
Pusan National University
2023
Hanoi University of Science and Technology
2019-2022
The research aims to investigate the current state of digital competence among English teachers at high schools in Da Lat, Vietnam, and provide recommendations improve their skills. team conducted a survey 28 seven using Likert scale with five levels statistical analysis methods. results show that teachers' abilities use electronic devices, educational software, search, select, diversify information from internet are all very levels. When encountering technical issues during teaching,...
In this paper, we propose a framework that automatically classifies anatomical landmarks of Upper GastroIntestinal Endoscopy (UGIE). This aims to select the best deep neural network in terms both criteria classification performances and computational costs. We investigate two lightweight networks are ResNet-18, MobileNet-V2 learn hidden discriminant features for multi task. addition, because convolutional (CNNs) data hungry, examine various augmentation (DA) techniques such as Brightness...
Artificial Intelligence (AI) has played an increasingly crucial part in our daily lives recent years. Convolutional neural network (CNN) medical image processing lately received a lot of interest. With the introduction modern endoscopic technologies, doctor could be able to diagnose patient more accurately. Consequently, it becomes and advantageous use computer-aided support during procedures. This paper proposes framework for automatic classification Upper Gastrointestinal tract diseases...
In this article, we propose a combinatorial testing technique for mobile application, thereby suggesting combination of test-driven data generation techniques as well developing support tool named CTGen which using the IPO algorithm to generate test with input model files, also supports code JUnit testing. The experiment results were compared in terms coverage, effort build case PICT positive results. Depending on purpose developer or tester, reliability application use appropriate...