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Xuan-Nam Bui

Nhà nghiên cứu Hồ sơ 6/10

Trường Đại học Tôn Đức Thắng · Mỏ

131 công bố · 5.499 trích dẫn · h-index 45

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Thông tin

🏛️Nơi công tác: Trường Đại học Tôn Đức Thắng
🔬Lĩnh vực: Mỏ
🆔ORCID: 0000-0001-5953-4902
✍️Hồ sơ chưa đầy đủ — bổ sung thông tin

Chỉ số h-index 45 xếp học giả này vào lĩnh vực Mỏ, thuộc nhóm 5% dẫn đầu trong 129 hồ sơ cùng lĩnh vực của danh bạ này.

Công bố tiêu biểu

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model351 trích dẫn
Engineering With Computers · 2020 · DOI

Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network210 trích dẫn
Natural Resources Research · 2019 · DOI

Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest205 trích dẫn
Natural Resources Research · 2018 · DOI

Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost174 trích dẫn
Natural Resources Research · 2019 · DOI

Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study166 trích dẫn
Acta Geophysica · 2019 · DOI

Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques164 trích dẫn
Natural Resources Research · 2019 · DOI

A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms159 trích dẫn
Applied Soft Computing · 2019 · DOI

Shortest path synthesis for Dubins non-holonomic robot158 trích dẫn
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A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam147 trích dẫn
Neural Computing and Applications · 2018 · DOI

Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm138 trích dẫn
Scientific Reports · 2020 · DOI

Về lĩnh vực Mỏ

129học giả

1.572công bố

27.764trích dẫn

3.7h-index trung bình

Hướng nghiên cứu phổ biến trong lĩnh vực:

Sentiment Analysis and Opinion MiningAdvanced Text Analysis TechniquesMineral Processing and GrindingTopic ModelingText and Document Classification TechnologiesMinerals Flotation and Separation Techniques

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