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Development of machine learning methods to predict the compressive strength of fiber-reinforced self-compacting concrete and sensitivity analysis

Construction & building materials, 2023-02, Vol.367, p.130339, Article 130339

2023

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Toward improved prediction of recycled brick aggregate concrete compressive strength by designing ensemble machine learning models

Construction & building materials, 2023-03, Vol.369, p.130613, Article 130613

2023

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

PloS one, 2021-12, Vol.16 (12), p.e0260847

2021

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Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model

Advances in Civil Engineering, 2021, Vol.2021 (1)

2021

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A comparative assessment of tree-based predictive models to estimate geopolymer concrete compressive strength

Neural computing & applications, 2023-03, Vol.35 (9), p.6569-6588

2023

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A novel PCR method for simultaneously detecting Acute hepatopancreatic Necrosis Disease (AHPND) and mutant-AHPND in shrimp

Aquaculture, 2021-03, Vol.534, p.736336, Article 736336

2021

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Development of deep neural network model to predict the compressive strength of rubber concrete

Construction & building materials, 2021-09, Vol.301, p.124081, Article 124081

2021

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

Complexity (New York, N.Y.), 2021, Vol.2021 (1)

2021

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Enhancing Compressive strength prediction of Roller Compacted concrete using Machine learning techniques

Measurement : journal of the International Measurement Confederation, 2023-08, Vol.218, p.113196, Article 113196

2023

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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

Advances in materials science and engineering, 2021, Vol.2021 (1)

2021

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Advancing basalt fiber asphalt concrete design: A novel approach using gradient boosting and metaheuristic algorithms

Case Studies in Construction Materials, 2023-12, Vol.19, p.e02528, Article e02528

2023

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Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete

Frontiers of Structural and Civil Engineering, 2023-02, Vol.17 (2), p.284-305

2023

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Using ANN to Estimate the Critical Buckling Load of Y Shaped Cross-Section Steel Columns

Scientific programming, 2021, Vol.2021, p.1-8

2021

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

Frontiers of Structural and Civil Engineering, 2022-07, Vol.16 (7), p.928-945

2022

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

Advances in materials science and engineering, 2020, Vol.2020 (1)

2020

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Standard dose raltegravir or efavirenz-based antiretroviral treatment for patients co-infected with HIV and tuberculosis (ANRS 12 300 Reflate TB 2): an open-label, non-inferiority, randomised, phase 3 trial

The Lancet infectious diseases, 2021-06, Vol.21 (6), p.813-822

2021

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Functional redundancy of type I and type II receptors in the regulation of skeletal muscle growth by myostatin and activin A

Proceedings of the National Academy of Sciences - PNAS, 2020-12, Vol.117 (49), p.30907-30917

2020

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Assessment of In vitro Antioxidant, Antidiabetic and Cytotoxic Activities of Sphaeranthus africanus Extracts

Natural product sciences, 2023-06, Vol.29 (2), p.98-103

2023

Volltextzugriff (PDF)

Application of extreme gradient boosting in predicting the viscoelastic characteristics of graphene oxide modified asphalt at medium and high temperatures

Frontiers of Structural and Civil Engineering, 2024-06, Vol.18 (6), p.899-917

2024

Volltextzugriff (PDF)

Corrigendum to “Development of machine learning methods to predict the compressive strength of fiber-reinforced self-compacting concrete and sensitivity analysis” [Constr. Build. Mater. 367 (2023) 130339]

Construction & building materials, 2023-10, Vol.401, p.133036, Article 133036

2023

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Therapeutic Potential of Polyscias fruticosa (L.) Harms Leaf Extract for Parkinson’s Disease Treatment by Drosophila melanogaster Model

Oxidative medicine and cellular longevity, 2022, Vol.2022, p.5262677-18

2022

Volltextzugriff (PDF)

Quality of life among patients with chronic heart failure in Nam Dinh Province, Vietnam [version 2; peer review: awaiting peer review]

F1000 research, 2023, Vol.12, p.740

2023

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Quality of life among patients with chronic heart failure in Nam Dinh Province, Vietnam [version 1; peer review: awaiting peer review]

F1000 research, 2023, Vol.12, p.740

2023

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Detection of maternal carriers of common α-thalassemia deletions from cell-free DNA

Development of machine learning methods to predict the compressive strength of fiber-reinforced self-compacting concrete and sensitivity analysis

Toward improved prediction of recycled brick aggregate concrete compressive strength by designing ensemble machine learning models

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

Prediction Compressive Strength of Concrete Containing GGBFS using Random Forest Model

A comparative assessment of tree-based predictive models to estimate geopolymer concrete compressive strength

A novel PCR method for simultaneously detecting Acute hepatopancreatic Necrosis Disease (AHPND) and mutant-AHPND in shrimp

Development of deep neural network model to predict the compressive strength of rubber concrete

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

Enhancing Compressive strength prediction of Roller Compacted concrete using Machine learning techniques

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

Advancing basalt fiber asphalt concrete design: A novel approach using gradient boosting and metaheuristic algorithms

Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting concrete

Using ANN to Estimate the Critical Buckling Load of Y Shaped Cross-Section Steel Columns

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

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

Standard dose raltegravir or efavirenz-based antiretroviral treatment for patients co-infected with HIV and tuberculosis (ANRS 12 300 Reflate TB 2): an open-label, non-inferiority, randomised, phase 3 trial

Functional redundancy of type I and type II receptors in the regulation of skeletal muscle growth by myostatin and activin A

Assessment of In vitro Antioxidant, Antidiabetic and Cytotoxic Activities of Sphaeranthus africanus Extracts

Application of extreme gradient boosting in predicting the viscoelastic characteristics of graphene oxide modified asphalt at medium and high temperatures

Corrigendum to “Development of machine learning methods to predict the compressive strength of fiber-reinforced self-compacting concrete and sensitivity analysis” [Constr. Build. Mater. 367 (2023) 130339]

Therapeutic Potential of Polyscias fruticosa (L.) Harms Leaf Extract for Parkinson’s Disease Treatment by Drosophila melanogaster Model

Quality of life among patients with chronic heart failure in Nam Dinh Province, Vietnam [version 2; peer review: awaiting peer review]

Quality of life among patients with chronic heart failure in Nam Dinh Province, Vietnam [version 1; peer review: awaiting peer review]

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