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Phuong Dong Nguyen

Nhà nghiên cứu Hồ sơ 6/10

Trường Đại học Bách khoa, Đại học Quốc gia Thành phố Hồ Chí Minh · Cơ khí

9 công bố · 111 trích dẫn · h-index 4

Thông tin

🏛️Nơi công tác: Trường Đại học Bách khoa, Đại học Quốc gia Thành phố Hồ Chí Minh
🔬Lĩnh vực: Cơ khí
🆔ORCID: 0009-0009-8100-9552
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Công bố tiêu biểu

A data-driven machine learning approach for the 3D printing process optimisation76 trích dẫn
Virtual and Physical Prototyping · 2022 · DOI

AI-driven optimization in 3D printing: Reducing time and material consumption through machine learning models10 trích dẫn
Materials and Emerging Technologies for Sustainability · 2024 · DOI

Deep learning-based predictive models for forex market trends: Practical implementation and performance evaluation10 trích dẫn
Science Progress · 2024 · DOI

Hybrid Supervised and Self-Supervised Learning for 3D Printing Optimization: A Masked Supervised Bootstrap Your Own Latent Approach4 trích dẫn
3D Printing and Additive Manufacturing · 2025 · DOI

Optimizing 3D printing through enhancements in inverse autoencoder models and guided decoders for predicting mechanical properties4 trích dẫn
Progress in Additive Manufacturing · 2025 · DOI

Density functional theory studies on molecular structure, vibrational spectra, AIM, HOMO-LUMO, electronic properties, and NBO analysis of benzoic acid monomer and dimer3 trích dẫn
Ministry of Science and Technology Vietnam · 2023 · DOI

Machine Learning Techniques in Chronic Kidney Diseases: A Comparative Study of Classification Model Performance3 trích dẫn
Bioinformatics and Biology Insights · 2025 · DOI

Prediction of concrete compressive strength using artificial neural network with bayesian optimization1 trích dẫn
Materials and Emerging Technologies for Sustainability · 2025 · DOI

A Novel Autoencoder Variant for Predicting 3D Printing Parameters From Geometric and Consumption Constraints
International journal of mechanical system dynamics · 2025 · DOI

Về lĩnh vực Cơ khí

427học giả

5.878công bố

72.108trích dẫn

3.7h-index trung bình

Hướng nghiên cứu phổ biến trong lĩnh vực:

Additive Manufacturing and 3D Printing TechnologiesAdvanced machining processes and optimizationManufacturing Process and OptimizationHeat Transfer and OptimizationAdditive Manufacturing Materials and ProcessesGear and Bearing Dynamics Analysis

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