A Duplex Method for Prediction of Concrete Strength Using Dimensionality Reduction
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[1] Mahendra Kumar Gourisaria,et al. Diagnosis of Intracranial Tumors via the Selective CNN Data Modeling Technique , 2022, Applied Sciences.
[2] Van Quan Tran,et al. Evaluating compressive strength of concrete made with recycled concrete aggregates using machine learning approach , 2022, Construction and Building Materials.
[3] Mahendra Kumar Gourisaria,et al. Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks , 2022, IEEE Access.
[4] Mahendra Kumar Gourisaria,et al. Mycobacterium Tuberculosis Detection Using CNN Ranking Approach , 2021, Advances in Intelligent Systems and Computing.
[5] Jingquan Wang,et al. Machine-learning-based models to predict shear transfer strength of concrete joints , 2021, Engineering Structures.
[6] Panuwat Joyklad,et al. Computation of High-Performance Concrete Compressive Strength Using Standalone and Ensembled Machine Learning Techniques , 2021, Materials.
[7] Mahendra Kumar Gourisaria,et al. Retinal Disease Detection using CNN through Optical Coherence Tomography Images , 2021, 2021 5th International Conference on Information Systems and Computer Networks (ISCON).
[8] Mahendra Kumar Gourisaria,et al. On the Dynamics and Feasibility of Transferred Inference for Diagnosis of Invasive Ductal Carcinoma: A Perspective , 2021, IEEE Access.
[9] Pijush Samui,et al. Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models , 2021, Cement and Concrete Research.
[10] Christian Desrosiers,et al. Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature , 2021, Frontiers in Aging Neuroscience.
[11] Amir Mosavi,et al. Prediction of Compressive Strength of Rice Husk Ash Concrete through Different Machine Learning Processes , 2021, Crystals.
[12] Abdurrahman Özbeyaz,et al. A comparative investigation using machine learning methods for concrete compressive strength estimation , 2021 .
[13] B. Šavija,et al. On the Use of Machine Learning Models for Prediction of Compressive Strength of Concrete: Influence of Dimensionality Reduction on the Model Performance , 2021, Materials.
[14] Doo-Yeol Yoo,et al. Machine learning-based prediction for compressive and flexural strengths of steel fiber-reinforced concrete , 2021, Construction and Building Materials.
[15] Huu-Tai Thai,et al. Efficient machine learning models for prediction of concrete strengths , 2021, Construction and Building Materials.
[16] Miao Su,et al. Selected machine learning approaches for predicting the interfacial bond strength between FRPs and concrete , 2020 .
[17] Italia Joseph Maria,et al. Machine Learning Algorithms For Diagnosis Of Leukemia , 2020 .
[18] Wei Dongfang,et al. Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach , 2020, Construction and Building Materials.
[19] M. Timur Cihan. Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods , 2019, Advances in Civil Engineering.
[20] Zidong Wang,et al. Machine Learning with Applications in Breast Cancer Diagnosis and Prognosis , 2018 .
[21] Rajendra Kumar Sharma,et al. Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete , 2018 .
[22] P. Samui,et al. Comparison of machine learning techniques to predict compressive strength of concrete , 2018 .
[23] Adeel Anjum,et al. m-Skin Doctor: A Mobile Enabled System for Early Melanoma Skin Cancer Detection Using Support Vector Machine , 2016, eHealth 360°.
[24] Dr. S. Vijayarani,et al. Liver Disease Prediction using SVM and Naïve Bayes Algorithms , 2015 .