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Hydraulic Conductivity, Grain Size Distribution (GSD) and Cement Injectability Limits Predicted of Sandy Soils Using Vipulanandan Models

Geotechnical and geological engineering, 2020-04, Vol.38 (2), p.2139-2158

2020

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Artificial neural network (ANN), M5P-tree, and regression analyses to predict the early age compression strength of concrete modified with DBC-21 and VK-98 polymers

Neural computing & applications, 2021-07, Vol.33 (13), p.7851-7873

2021

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Statistical Variations and New Correlation Models to Predict the Mechanical Behavior and Ultimate Shear Strength of Gypsum Rock

Open Engineering (Warsaw), 2018-08, Vol.8 (1), p.213-226

2018

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ANN, M5P-tree and nonlinear regression approaches with statistical evaluations to predict the compressive strength of cement-based mortar modified with fly ash

Journal of materials research and technology, 2020-11, Vol.9 (6), p.12416-12427

2020

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Model Technics to Predict the Impact of the Particle Size Distribution (PSD) of the Sand on the Mechanical Properties of the Cement Mortar Modified with Fly Ash

Iranian journal of science and technology. Transactions of civil engineering, 2021-09, Vol.45 (3), p.1657-1684

2021

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Microstructure characterizations, thermal properties, yield stress, plastic viscosity and compression strength of cement paste modified with nanosilica

Journal of materials research and technology, 2020-09, Vol.9 (5), p.10941-10956

2020

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Diverticular Disease of the Colon - Risk Factors and Validation of Diagnosis

Mahmood, Wael Mahmood

2024

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Artificial Neural Network and NLR techniques to predict the rheological properties and compression strength of cement past modified with nanoclay

Ain Shams Engineering Journal, 2021-06, Vol.12 (2), p.1313-1328

2021

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ANN, M5P-tree model, and nonlinear regression approaches to predict the compression strength of cement-based mortar modified by quicklime at various water/cement ratios and curing times

Arabian journal of geosciences, 2020-11, Vol.13 (22), Article 1216

2020

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Modeling Flexural and Compressive Strengths Behaviour of Cement-Grouted Sands Modified with Water Reducer Polymer

Applied sciences, 2022-02, Vol.12 (3), p.1016

2022

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The Effect of Dynamic Loading on Stresses Induced in Charnley Hip Prosthesis

Journal of Engineering, 2023-06, Vol.20 (7), p.115-129

2023

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Microstructure tests, flow, and mechanical behavior of polymerized cement mortar

Ain Shams Engineering Journal, 2023-04, Vol.14 (4), p.101922, Article 101922

2023

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Various simulation techniques to predict the compressive strength of cement-based mortar modified with micro-sand at different water-to-cement ratios and curing ages

Arabian journal of geosciences, 2021-03, Vol.14 (5), Article 411

2021

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Vipulanandan failure models to predict the tensile strength, compressive modulus, fracture toughness and ultimate shear strength of calcium rocks

International journal of geotechnical engineering, 2021-02, Vol.15 (2), p.129-139

2021

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New Vipulanandan p-q Model for Particle Size Distribution and Groutability Limits for Sandy Soils

Journal of testing and evaluation, 2020-09, Vol.48 (5), p.3695-3712

2020

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TGA, rheological properties with maximum shear stress and compressive strength of cement-based grout modified with polycarboxylate polymers

Construction & building materials, 2020-02, Vol.235, p.117534, Article 117534

2020

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Identification of diverticular disease in Swedish healthcare registers: a validation study

Scandinavian journal of gastroenterology, 2024, Vol.59 (2), p.176-182

2024

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Combining Ability Analysis of Half- Cross in Wheat (Triticum aestivum L.)

IOP conference series. Earth and environmental science, 2023-07, Vol.1213 (1), p.12035

2023

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Performance of ANN and M5P-tree to forecast the compressive strength of hand-mix cement-grouted sands modified with polymer using ASTM and BS standards and evaluate the outcomes using SI with OBJ assessments

Neural computing & applications, 2022-09, Vol.34 (17), p.15031-15051

2022

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Estimation of genetic parameters for new entries of bread wheat (Triticum aestivum L.)

Bionatura, 2023-10, Vol.8 (CSS 4), p.1-8

2023

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Viscosity, yield stress and compressive strength of cement-based grout modified with polymers

Results in materials, 2019-12, Vol.4, p.100043, Article 100043

2019

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Technique to Avoid Membrane Punching During Triaxial Test of Crushed Aggregate

Transportation infrastructure geotechnology, 2021-09, Vol.8 (3), p.349-360

2021

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Estimating the efficiency of the sandy soils-cement based grout interactions from Particle size distribution (PSD)

Geomechanics and geoengineering : an international journal, 2021-03, Vol.16 (2), p.81-98

2021

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Intelligent tuning of vibration mitigation process for single link manipulator using fuzzy logic

Engineering science and technology, an international journal, 2017-08, Vol.20 (4), p.1233-1241

2017

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Soft computing techniques: Systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times

Journal of Building Engineering, 2021-01, Vol.33, p.101851, Article 101851

2021

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Hydraulic Conductivity, Grain Size Distribution (GSD) and Cement Injectability Limits Predicted of Sandy Soils Using Vipulanandan Models

Artificial neural network (ANN), M5P-tree, and regression analyses to predict the early age compression strength of concrete modified with DBC-21 and VK-98 polymers

Statistical Variations and New Correlation Models to Predict the Mechanical Behavior and Ultimate Shear Strength of Gypsum Rock

ANN, M5P-tree and nonlinear regression approaches with statistical evaluations to predict the compressive strength of cement-based mortar modified with fly ash

Model Technics to Predict the Impact of the Particle Size Distribution (PSD) of the Sand on the Mechanical Properties of the Cement Mortar Modified with Fly Ash

Microstructure characterizations, thermal properties, yield stress, plastic viscosity and compression strength of cement paste modified with nanosilica

Diverticular Disease of the Colon - Risk Factors and Validation of Diagnosis

Artificial Neural Network and NLR techniques to predict the rheological properties and compression strength of cement past modified with nanoclay

ANN, M5P-tree model, and nonlinear regression approaches to predict the compression strength of cement-based mortar modified by quicklime at various water/cement ratios and curing times

Modeling Flexural and Compressive Strengths Behaviour of Cement-Grouted Sands Modified with Water Reducer Polymer

The Effect of Dynamic Loading on Stresses Induced in Charnley Hip Prosthesis

Microstructure tests, flow, and mechanical behavior of polymerized cement mortar

Various simulation techniques to predict the compressive strength of cement-based mortar modified with micro-sand at different water-to-cement ratios and curing ages

Vipulanandan failure models to predict the tensile strength, compressive modulus, fracture toughness and ultimate shear strength of calcium rocks

New Vipulanandan p-q Model for Particle Size Distribution and Groutability Limits for Sandy Soils

TGA, rheological properties with maximum shear stress and compressive strength of cement-based grout modified with polycarboxylate polymers

Identification of diverticular disease in Swedish healthcare registers: a validation study

Combining Ability Analysis of Half- Cross in Wheat (Triticum aestivum L.)

Performance of ANN and M5P-tree to forecast the compressive strength of hand-mix cement-grouted sands modified with polymer using ASTM and BS standards and evaluate the outcomes using SI with OBJ assessments

Estimation of genetic parameters for new entries of bread wheat (Triticum aestivum L.)

Viscosity, yield stress and compressive strength of cement-based grout modified with polymers

Technique to Avoid Membrane Punching During Triaxial Test of Crushed Aggregate

Estimating the efficiency of the sandy soils-cement based grout interactions from Particle size distribution (PSD)

Intelligent tuning of vibration mitigation process for single link manipulator using fuzzy logic

Soft computing techniques: Systematic multiscale models to predict the compressive strength of HVFA concrete based on mix proportions and curing times

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