Search Results - "Thuy Anh, Nguyen" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Spectral Topography of the Subthalamic Nucleus to Inform Next‐Generation Deep Brain Stimulation

Spectral Topography of the Subthalamic Nucleus to Inform Next‐Generation Deep Brain Stimulation

by Averna, Alberto, Debove, Ines, Nowacki, Andreas, Peterman, Katrin, Duchet, Benoit, Sousa, Mário, Bernasconi, Elena, Alva, Laura, Lachenmayer, Martin L., Schuepbach, Michael, Pollo, Claudio, Krack, Paul, Nguyen, Thuy‐Anh K., Tinkhauser, Gerd
Published in Movement disorders (01.05.2023)

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Investigation on factors affecting early strength of high-performance concrete by Gaussian Process Regression

Investigation on factors affecting early strength of high-performance concrete by Gaussian Process Regression

by Ly, Hai-Bang, Nguyen, Thuy-Anh, Pham, Binh Thai
Published in PloS one (27.01.2022)

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Deep Brain Stimulation for Chronic Cluster Headache: Meta‐Analysis of Individual Patient Data

Deep Brain Stimulation for Chronic Cluster Headache: Meta‐Analysis of Individual Patient Data

by Nowacki, Andreas, Schober, Martin, Nader, Lydia, Saryyeva, Assel, Nguyen, Thuy‐Anh Khoa, Green, Alexander L., Pollo, Claudio, Krauss, Joachim K., Fontaine, Denys, Aziz, Tipu Z.
Published in Annals of neurology (01.11.2020)

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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

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

by Nguyen, Hung Quang, Ly, Hai-Bang, Tran, Van Quan, Nguyen, Thuy-Anh, Le, Tien-Thinh, Pham, Binh Thai
Published in Materials (07.03.2020)

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Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS

Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS

by Tran, Van Quan, Mai, Hai-Van Thi, Nguyen, Thuy-Anh, Ly, Hai-Bang
Published in PloS one (03.12.2021)

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Investigation of ANN architecture for predicting shear strength of fiber reinforcement bars concrete beams

Investigation of ANN architecture for predicting shear strength of fiber reinforcement bars concrete beams

by Nguyen, Quang Hung, Ly, Hai-Bang, Nguyen, Thuy-Anh, Phan, Viet-Hung, Nguyen, Long Khanh, Tran, Van Quan
Published in PloS one (02.04.2021)

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Universal boosting ML approaches to predict the ultimate load capacity of CFST columns

Universal boosting ML approaches to predict the ultimate load capacity of CFST columns

by Nguyen, Thuy‐Anh, Le Nguyen, Khuong, Ly, Hai‐Bang
Published in The structural design of tall and special buildings (01.02.2024)

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Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model

Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model

by Mai, Hai-Van Thi, Nguyen, Thuy-Anh, Ly, Hai-Bang, Tran, Van Quan
Published in Advances in Civil Engineering (2021)

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A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns

A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns

by Nguyen, Quang Hung, Ly, Hai-Bang, Tran, Van Quan, Nguyen, Thuy-Anh, Phan, Viet-Hung, Le, Tien-Thinh, Pham, Binh Thai
Published in Molecules (Basel, Switzerland) (31.07.2020)

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Interplay of spin–orbit coupling and superconducting correlations in germanium telluride thin films

Interplay of spin–orbit coupling and superconducting correlations in germanium telluride thin films

by Narayan, Vijay, Nguyen, Thuy‐Anh, Mansell, Rhodri, Ritchie, David, Mussler, Gregor
Published in Physica status solidi. PSS-RRL. Rapid research letters (01.03.2016)

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Estimation of Soil Cohesion Using Machine Learning Method: A Random Forest Approach

Estimation of Soil Cohesion Using Machine Learning Method: A Random Forest Approach

by Ly, Hai-Bang, Nguyen, Thuy-Anh, Pham, Binh Thai
Published in Advances in Civil Engineering (2021)

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Accelerating fluid flow simulations through doubly porous media using a FEM-assisted machine learning approach

Accelerating fluid flow simulations through doubly porous media using a FEM-assisted machine learning approach

by Ly, Hai-Bang, Nguyen, Thuy-Anh
Published in Results in physics (01.11.2023)

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Investigation of ANN Architecture for Predicting Load-Carrying Capacity of Castellated Steel Beams

Investigation of ANN Architecture for Predicting Load-Carrying Capacity of Castellated Steel Beams

by Nguyen, Thuy-Anh, Ly, Hai-Bang, Tran, Van Quan
Published in Complexity (New York, N.Y.) (2021)

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Beamforming-as-a-Service for Multicast and Broadcast Services in 5G systems and Beyond

Beamforming-as-a-Service for Multicast and Broadcast Services in 5G systems and Beyond

by Trung, Nguyen Huu, Anh, Nguyen Thuy
Published in IEEE access (01.01.2023)

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On the Training Algorithms for Artificial Neural Network in Predicting the Shear Strength of Deep Beams

On the Training Algorithms for Artificial Neural Network in Predicting the Shear Strength of Deep Beams

by Nguyen, Thuy-Anh, Ly, Hai-Bang, Mai, Hai-Van Thi, Tran, Van Quan
Published in Complexity (New York, N.Y.) (2021)

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Backpropagation Neural Network-Based Machine Learning Model for Prediction of Soil Friction Angle

Backpropagation Neural Network-Based Machine Learning Model for Prediction of Soil Friction Angle

by Nguyen, Thuy-Anh, Pham, Binh Thai, Ly, Hai-Bang
Published in Mathematical problems in engineering (2020)

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Parametric Investigation of Particle Swarm Optimization to Improve the Performance of the Adaptive Neuro-Fuzzy Inference System in Determining the Buckling Capacity of Circular Opening Steel Beams

Parametric Investigation of Particle Swarm Optimization to Improve the Performance of the Adaptive Neuro-Fuzzy Inference System in Determining the Buckling Capacity of Circular Opening Steel Beams

by Nguyen, Quang Hung, Ly, Hai-Bang, Le, Tien-Thinh, Nguyen, Thuy-Anh, Phan, Viet-Hung, Tran, Van Quan, Pham, Binh Thai
Published in Materials (12.05.2020)

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A hybrid machine learning model to estimate self-compacting concrete compressive strength

A hybrid machine learning model to estimate self-compacting concrete compressive strength

by LY, Hai-Bang, NGUYEN, Thuy-Anh, PHAM, Binh Thai, NGUYEN, May Huu
Published in Frontiers of Structural and Civil Engineering (01.08.2022)

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Investigation of ANN Model Containing One Hidden Layer for Predicting Compressive Strength of Concrete with Blast-Furnace Slag and Fly Ash

Investigation of ANN Model Containing One Hidden Layer for Predicting Compressive Strength of Concrete with Blast-Furnace Slag and Fly Ash

by Mai, Hai-Van Thi, Nguyen, Thuy-Anh, Ly, Hai-Bang, Tran, Van Quan
Published in Advances in materials science and engineering (2021)

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Ensemble Tree-Based Approach to Predict the Rotation Capacity of Wide-Flange Beams

Ensemble Tree-Based Approach to Predict the Rotation Capacity of Wide-Flange Beams

by Nguyen, Thuy-Anh, Ly, Hai-Bang
Published in Advances in Civil Engineering (2022)

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