Ho-Si-Hung Nguyen

Nhà nghiên cứu Hồ sơ 5/10

12 công bố · 28 trích dẫn · h-index 3

Thông tin

🏛️Nơi công tác: Đại học Đà Nẵng
🔬Lĩnh vực: Tự động hoá
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Công bố tiêu biểu

Robust-MBDL: A Robust Multi-Branch Deep-Learning-Based Model for Remaining Useful Life Prediction of Rotating Machines13 trích dẫn
Mathematics · 2024 · DOI

A robust deep learning system for motor bearing fault detection: leveraging multiple learning strategies and a novel double loss function6 trích dẫn
Signal Image and Video Processing · 2025 · DOI

An Updated IoU Loss Function for Bounding Box Regression3 trích dẫn
Lecture notes on data engineering and communications technologies · 2022 · DOI

A Robust Deep Learning System for Motor Bearing Fault Detection: Leveraging Multiple Learning Strategies and a Novel Double Loss Function2 trích dẫn
Research Square · 2024 · DOI

An Advanced IoU Loss Function for Accurate Bounding Box Regression2 trích dẫn
Lecture notes in networks and systems · 2022 · DOI

A New Denoising Method for Motor Fault Diagnosis1 trích dẫn
Lecture notes in mechanical engineering · 2023 · DOI

Designing an artificial intelligence-based model for electric motor fault diagnosis to support maintenance decision-making1 trích dẫn
The University of Danang - Journal of Science and Technology · 2024 · DOI

A Deep Learning Approach for Control Chart Patterns (CCPs) Prediction
· 2022 · DOI

An advanced evolutionary algorithm integrating genetic algorithm and branch and bound for joint maintenance grouping and routing optimization
The University of Danang - Journal of Science and Technology · 2025 · DOI

Application of Quaternion-Based Convolutional Neural Networks for Advanced Motor Fault Diagnosis
· 2025 · DOI

Về lĩnh vực Tự động hoá

607học giả

8.536công bố

71.382trích dẫn

3.7h-index trung bình

Hướng nghiên cứu phổ biến trong lĩnh vực:

Robotic Path Planning AlgorithmsAdaptive Control of Nonlinear SystemsControl and Dynamics of Mobile RobotsRobotics and Sensor-Based LocalizationRobot Manipulation and LearningRobotic Mechanisms and Dynamics

Nơi có nhiều học giả lĩnh vực này nhất: