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Prediction of axial capacity of corrosion-affected RC columns strengthened with inclusive FRP

Scientific reports, 2024-06, Vol.14 (1), p.14011-20

2024

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Machine learning intelligence to assess the shear capacity of corroded reinforced concrete beams

Scientific reports, 2023-02, Vol.13 (1), p.2857-2857, Article 2857

2023

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Enhancing Sustainability of Corroded RC Structures: Estimating Steel-to-Concrete Bond Strength with ANN and SVM Algorithms

Materials, 2022-11, Vol.15 (23), p.8295

2022

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Ensemble learning based compressive strength prediction of concrete structures through real-time non-destructive testing

Scientific reports, 2024-01, Vol.14 (1), p.1824-1824, Article 1824

2024

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An Optimized Neuro-Bee Algorithm Approach to Predict the FRP-Concrete Bond Strength of RC Beams

IEEE access, 2022, Vol.10, p.3790-3806

2022

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Prediction of Axial Capacity of RC Columns Reinforced with Ferro-cement Jacketing: A Data-driven Machine Learning Strategy

KSCE Journal of Civil Engineering, 2024, 28(9), , pp.3835-3844

2024

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Development of a Reliable Machine Learning Model to Predict Compressive Strength of FRP-Confined Concrete Cylinders

Buildings (Basel), 2023-04, Vol.13 (4), p.931

2023

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Machine learning based graphical interface for accurate estimation of FRP-concrete bond strength under diverse exposure conditions

Developments in the built environment, 2024-03, Vol.17, p.100311, Article 100311

2024

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Seismic evaluation and rehabilitation of G+1 corroded RC building

I-Manager's Journal on Structural Engineering, 2022-03, Vol.11 (1), p.1

2022

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Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns

Shock and vibration, 2023, Vol.2023, p.1-21

2023

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Evaluating 28-Days Performance of Rice Husk Ash Green Concrete under Compression Gleaned from Neural Networks

Advances in materials science and engineering, 2023, Vol.2023, p.1-18

2023

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Axial Capacity of FRP-Reinforced Concrete Columns: Computational Intelligence-Based Prognosis for Sustainable Structures

Buildings (Basel), 2022-12, Vol.12 (12), p.2137

2022

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An overview of thermography data driven predictive analyses (DDPAs) for power systems in post Covid-19 era

AIP Conference Proceedings, 2023, Vol.2901 (1)

2023

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Performance prognosis of FRCM-to-concrete bond strength using ANFIS-based fuzzy algorithm

Expert systems with applications, 2023-04, Vol.216, p.119497, Article 119497

2023

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Automated explainable ensemble learning prediction of FRP-bar-to-concrete bond strength and failure pattern under diverse exposure scenarios

Construction & building materials, 2024-09, Vol.445, p.137840, Article 137840

2024

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AN EFFICIENT METHOD FOR DISTRIBUTION SYSTEM RECONFIGURATION FOR LOSS MINIMISATION

International journal of power & energy systems, 2011, Vol.31 (1)

2011

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Prognosis of compressive strength of fly‐ash‐based geopolymer‐modified sustainable concrete with ML algorithms

Structural concrete : journal of the FIB, 2023-06, Vol.24 (3), p.3990-4014

2023

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Compressive Strength Prediction of Lightweight Concrete: Machine Learning Models

Sustainability, 2022-02, Vol.14 (4), p.2404

2022

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ASSESSMENT OF RESIDUAL SHEAR STRENGTH OF CORRODED REINFORCED CONCRETE BEAMS USING ANALYTICAL MODELING

I-Manager's Journal on Civil Engineering, 2021, Vol.11 (3), p.12

2021

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XGBoost algorithm based estimation of near surface mounted FRP rod-to-concrete bond strength and failure mode

Journal of Building Engineering, 2024-08, Vol.90, p.109418, Article 109418

2024

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Artificial Intelligence Applications for Sustainable Construction

1, 2024

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Energy-Efficient Strategies for Mitigating Airborne Pathogens in Buildings—Building Stage-Based Sustainable Strategies

Sustainability, 2024-01, Vol.16 (2), p.516

2024

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Development of Efficient Prediction Model of FRP-to-Concrete Bond Strength Using Curve Fitting and ANFIS Methods

Arabian journal for science and engineering (2011), 2024-04, Vol.49 (4), p.5129-5158

2024

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Prediction of FRCM–Concrete Bond Strength with Machine Learning Approach

Sustainability, 2022-01, Vol.14 (2), p.845

2022

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‘The Mighty Macaulay’: The Analysis of a Therapeutic Taskscape, Disciplinary Regulation and Care at a Camp for Underprivileged Youth

Meliora, 2017-09, Vol.1 (1)

Arora, Aditi Chandra

2017

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Prediction of axial capacity of corrosion-affected RC columns strengthened with inclusive FRP

Machine learning intelligence to assess the shear capacity of corroded reinforced concrete beams

Enhancing Sustainability of Corroded RC Structures: Estimating Steel-to-Concrete Bond Strength with ANN and SVM Algorithms

Ensemble learning based compressive strength prediction of concrete structures through real-time non-destructive testing

An Optimized Neuro-Bee Algorithm Approach to Predict the FRP-Concrete Bond Strength of RC Beams

Prediction of Axial Capacity of RC Columns Reinforced with Ferro-cement Jacketing: A Data-driven Machine Learning Strategy

Development of a Reliable Machine Learning Model to Predict Compressive Strength of FRP-Confined Concrete Cylinders

Machine learning based graphical interface for accurate estimation of FRP-concrete bond strength under diverse exposure conditions

Seismic evaluation and rehabilitation of G+1 corroded RC building

Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns

Evaluating 28-Days Performance of Rice Husk Ash Green Concrete under Compression Gleaned from Neural Networks

Axial Capacity of FRP-Reinforced Concrete Columns: Computational Intelligence-Based Prognosis for Sustainable Structures

An overview of thermography data driven predictive analyses (DDPAs) for power systems in post Covid-19 era

Performance prognosis of FRCM-to-concrete bond strength using ANFIS-based fuzzy algorithm

Automated explainable ensemble learning prediction of FRP-bar-to-concrete bond strength and failure pattern under diverse exposure scenarios

AN EFFICIENT METHOD FOR DISTRIBUTION SYSTEM RECONFIGURATION FOR LOSS MINIMISATION

Prognosis of compressive strength of fly‐ash‐based geopolymer‐modified sustainable concrete with ML algorithms

Compressive Strength Prediction of Lightweight Concrete: Machine Learning Models

ASSESSMENT OF RESIDUAL SHEAR STRENGTH OF CORRODED REINFORCED CONCRETE BEAMS USING ANALYTICAL MODELING

XGBoost algorithm based estimation of near surface mounted FRP rod-to-concrete bond strength and failure mode

Artificial Intelligence Applications for Sustainable Construction

Energy-Efficient Strategies for Mitigating Airborne Pathogens in Buildings—Building Stage-Based Sustainable Strategies

Development of Efficient Prediction Model of FRP-to-Concrete Bond Strength Using Curve Fitting and ANFIS Methods

Prediction of FRCM–Concrete Bond Strength with Machine Learning Approach

‘The Mighty Macaulay’: The Analysis of a Therapeutic Taskscape, Disciplinary Regulation and Care at a Camp for Underprivileged Youth

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