Alumni
AI team
Yi-Shin Chou(2023)
Research topic:
Using Deep Learning Method to Conduct Paddy Field Detection and Staging in Aerial Images in Geographic Information System
Research area:
Aerial imagery, Geographic information system, Rice phenological stage, Deep learning, Instance segmentation
Shan-Cheng Chang(2023)
Research topic:
Pest Control and Pollination Efficiency Assessment of Facility Crops Using AIoT Technology
Research area:
Deep Learning, AIoT, Agricultural Image Analysis
Shan-Cheng Chang(2023)
Research topic:
Pest Control and Pollination Efficiency Assessment of Facility Crops Using AIoT Technology
Research area:
Deep Learning, AIoT, Agricultural Image Analysis
周易昕(2023)
論文題目:
應用深度學習方法於地理圖資系統水稻田坵塊航照圖之辨識與分期
關鍵字:
Aerial imagery, Geographic information system, Rice phenological stage, Deep learning, Instance segmentation
張善程(2023)
論文題目:
AIOT技術應用於設施作物之蟲害控制及授粉效率評估
關鍵字:
Deep Learning, AIoT, Agricultural Image Analysis
劉宇捷(2024)
論文題目:
深度學習於口腔影像病灶之分割與分級應用
陳彥碩(2022)
Research topic:
Orchard Classification and Parcel Segmentation in Aerial Imagery Using Deep Neural Networks
黃偉豪(2022)
Research topic:
Application of Deep Learning Technology in Asparagus Growth Stage and Disease Identification
鄒建瀚(2021)
Research topic:
Three-Dimensional Lumen Reconstruction and Compitational Fluid Dynamics Application of Coronary Angiography
鍾子平(2021)
Research topic:
Application of Neural Networks for the Improvement of X-ray Phase Contrast Imaging
高可嘉(2020)
Research topic:
Application of Convolutional Neural Networks in the Optimization of PET Image Reconstruction
詹智越(2020)
Research topic:
An Automatic Monitoring System for Pest Management in an Asparagus Greenhouse Using Image Processing Technology
謝鈺芳(2020)
Research topic:
The Application of Computational Fluid Dynamics Simulation for Cardiovascular System and Coronary Arterial Stenosis
陳孟甫(2019)
Research topic:
Development an IoT-Based Power Quality Monitoring Platform
陳孟甫(2019)
Research topic:
Development an IoT-Based Power Quality Monitoring Platform
Statistics team
吳承彥(2022)
Early Prediction of Sepsis Using Machine Learning Methods on MIMIC Database
郭唯崢(2022)
Research topic:
Early prediction of Acute Kidney Injury in the Intensive Care Unit Using Machine Learning Models on MIMIC Database
吳証恩(2022)
Research topic:
Multimodal Deep Learning Model for Screening Acute Heart Failure in Emergency Department Using Chest X-rays and Electronic Health Records
郭庭嘉(2022)
Research topic:
Application of Machine Learning in Atrial Fibrillation Prediction
吳東霖
Research topic:
Application of Machine Learning in Atrial Fibrillation Prediction
呂晉成(2020)
Research topic:
Application of Machine Learning in the Modeling and the Prediction of Glycemic Indices
張麒仙(2018)
Research topic:
Statistical Analysis of the Application of Augmented Reality in the Salah Learning System
張靜萱(2018)
Research topic:
Comparison of Regularization Methods for Variable Selection in Highly Correlated Data
張靜萱(2018)
Research topic:
Comparison of Regularization Methods for Variable Selection in Highly Correlated Data