Tran-Huu-Tin Luu

Nhà nghiên cứu Hồ sơ 6/10

18 công bố · 52 trích dẫn · h-index 3

Thông tin

🏛️Nơi công tác: Đại học Quốc gia TP.HCM
🔬Lĩnh vực: Y - Dược
🆔ORCID: 0000-0001-6563-8943
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Công bố tiêu biểu

Piezoelectric Impedance-Based Structural Health Monitoring of Wind Turbine Structures: Current Status and Future Perspectives33 trích dẫn
Energies · 2022 · DOI

Fault Assessment in Piezoelectric-Based Smart Strand Using 1D Convolutional Neural Network7 trích dẫn
Buildings · 2022 · DOI

A novel vibration-based approach for damage identification and classification in FRP-retrofitted reinforced concrete beams under different loading stages6 trích dẫn
Journal of Structural Integrity and Maintenance · 2025 · DOI

A novel approach for identifying structural damage in beams with diverse boundary conditions using modal strain energy method combined with convolutional neural networks2 trích dẫn
Structures · 2025 · DOI

An Improved Nondestructive Vibration-Based Approach for Damage Detection in Steel-Concrete Composite Beams1 trích dẫn
Structural Engineering International · 2026 · DOI

A Novel Nondestructive Vibration-Based Approach Combining MSE and iGA for Damage Identification in Plate Structures1 trích dẫn
International Journal of Structural Stability and Dynamics · 2025 · DOI

Electro-Mechanical Impedance-Based Prestress Force Monitoring in Prestressed Concrete Structures1 trích dẫn
Lecture notes in civil engineering · 2021 · DOI

Modal Strain Energy and Convolutional Neural Network-Based Damage Identification in Plate-Like Structures1 trích dẫn
Lecture notes in civil engineering · 2025 · DOI

Modal strain energy-based identification of damage’s location and severity in plate-like structures
Science & Technology Development Journal - Engineering and Technology · 2026 · DOI

An Innovative One-step Vibration-based Approach for Structural Damage Localization and Severity Estimation in Plates via Modal Strain Energy and Deep Learning
International Journal of Structural Stability and Dynamics · 2026 · DOI

Về lĩnh vực Y - Dược

6.619học giả

91.896công bố

2.589.484trích dẫn

4.2h-index trung bình

Hướng nghiên cứu phổ biến trong lĩnh vực:

Mosquito-borne diseases and controlAntibiotic Resistance in BacteriaTuberculosis Research and EpidemiologyMalaria Research and ControlCOVID-19 and Mental HealthHIV/AIDS Research and Interventions

Nơi có nhiều học giả lĩnh vực này nhất: