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Refinado por: assunto: Neural Networks remover
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1
Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination
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Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination

Pham, Binh Thai ; Nguyen-Thoi, Trung ; Ly, Hai-Bang ; Nguyen, Manh Duc ; Al-Ansari, Nadhir ; Tran, Van-Quan ; Le, Tien-Thinh

Sustainability, 2020, Vol.12 (6), p.2339 [Periódico revisado por pares]

Basel: MDPI AG

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2
Compressive Strength Prediction of Stabilized Dredged Sediments Using Artificial Neural Network
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Compressive Strength Prediction of Stabilized Dredged Sediments Using Artificial Neural Network

Tran, Van Quan Liu, Wei ; Wei Liu

Advances in Civil Engineering, 2021, Vol.2021, p.1-8

New York: Hindawi

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3
Application of machine learning technique for predicting and evaluating chloride ingress in concrete
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Application of machine learning technique for predicting and evaluating chloride ingress in concrete

TRAN, Van Quan ; GIAP, Van Loi ; VU, Dinh Phien ; GEORGE, Riya Catherine ; HO, Lanh Si

Frontiers of Structural and Civil Engineering, 2022-09, Vol.16 (9), p.1153-1169 [Periódico revisado por pares]

Beijing: Higher Education Press

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4
Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network
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Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network

Nguyen, Thuy-Anh ; Ly, Hai-Bang ; Mai, Hai-Van Thi ; Tran, Van Quan Wang, Hainian ; Hainian Wang

Advances in materials science and engineering, 2020, Vol.2020, p.1-8 [Periódico revisado por pares]

New York: Hindawi

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5
Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete
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Assessment of different machine learning techniques in predicting the compressive strength of self-compacting concrete

TRAN, Van Quan ; MAI, Hai-Van Thi ; NGUYEN, Thuy-Anh ; LY, Hai-Bang

Frontiers of Structural and Civil Engineering, 2022-07, Vol.16 (7), p.928-945 [Periódico revisado por pares]

Beijing: Higher Education Press

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6
Using Artificial Intelligence Approach for Investigating and Predicting Yield Stress of Cemented Paste Backfill
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Using Artificial Intelligence Approach for Investigating and Predicting Yield Stress of Cemented Paste Backfill

Tran, Van Quan

Sustainability, 2023-02, Vol.15 (4), p.2892 [Periódico revisado por pares]

Basel: MDPI AG

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7
Evaluation and estimation of compressive strength of concrete masonry prism using gradient boosting algorithm
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Evaluation and estimation of compressive strength of concrete masonry prism using gradient boosting algorithm

Ho, Lanh Si ; Tran, Van Quan Vafaei, Mohammadreza

PloS one, 2024-03, Vol.19 (3), p.e0297364-e0297364 [Periódico revisado por pares]

United States: Public Library of Science

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8
Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity
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Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity

Pham, Tuan Anh ; Tran, Van Quan ; Vu, Huong-Lan Thi ; Ly, Hai-Bang Son, Le Hoang

PloS one, 2020-12, Vol.15 (12), p.e0243030-e0243030 [Periódico revisado por pares]

United States: Public Library of Science

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9
Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data
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Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data

Ly, Hai-Bang ; Le, Lu Minh ; Phi, Luong Van ; Phan, Viet-Hung ; Tran, Van Quan ; Pham, Binh Thai ; Le, Tien-Thinh ; Derrible, Sybil

Sensors (Basel, Switzerland), 2019-11, Vol.19 (22), p.4941 [Periódico revisado por pares]

Switzerland: MDPI AG

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10
Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under Compression
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Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under Compression

Nguyen, Hung Quang ; Ly, Hai-Bang ; Tran, Van Quan ; Nguyen, Thuy-Anh ; Le, Tien-Thinh ; Pham, Binh Thai

Materials, 2020-03, Vol.13 (5), p.1205 [Periódico revisado por pares]

Switzerland: MDPI AG

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