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For: Dabiri H, Farhangi V, Moradi MJ, Zadehmohamad M, Karakouzian M. Applications of Decision Tree and Random Forest as Tree-Based Machine Learning Techniques for Analyzing the Ultimate Strain of Spliced and Non-Spliced Reinforcement Bars. Applied Sciences 2022;12:4851. [DOI: 10.3390/app12104851] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 11.0] [Reference Citation Analysis]
Number Citing Articles
1 Dabiri H, Faramarzi A, Dall’asta A, Tondi E, Micozzi F. A machine learning-based analysis for predicting fragility curve parameters of buildings. Journal of Building Engineering 2022;62:105367. [DOI: 10.1016/j.jobe.2022.105367] [Reference Citation Analysis]
2 Mayet AM, Al-qahtani AA, Qaisi RMA, Ahmad I, Alhashim HH, Eftekhari-zadeh E. Developing a Model Based on the Radial Basis Function to Predict the Compressive Strength of Concrete Containing Fly Ash. Buildings 2022;12:1743. [DOI: 10.3390/buildings12101743] [Reference Citation Analysis]
3 Mayet AM, Chen T, Alizadeh SM, Al-qahtani AA, Qaisi RMA, Alhashim HH, Eftekhari-zadeh E. Increasing the Accuracy and Optimizing the Structure of the Scale Thickness Detection System by Extracting the Optimal Characteristics Using Wavelet Transform. Separations 2022;9:288. [DOI: 10.3390/separations9100288] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Kumar R, Singh SK. A variance-based approach for the detection and localization of cracks in a beam. Structures 2022;44:1261-77. [DOI: 10.1016/j.istruc.2022.08.068] [Reference Citation Analysis]
5 Mayet AM, Chen T, Ahmad I, Tag Eldin E, Al-qahtani AA, Narozhnyy IM, Guerrero JWG, Alhashim HH. Application of Neural Network and Dual-Energy Radiation-Based Detection Techniques to Measure Scale Layer Thickness in Oil Pipelines Containing a Stratified Regime of Three-Phase Flow. Mathematics 2022;10:3544. [DOI: 10.3390/math10193544] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
6 Mayet AM, Chen T, Alizadeh SM, Al-qahtani AA, Alanazi AK, Ghamry NA, Alhashim HH, Eftekhari-zadeh E. Optimizing the Gamma Ray-Based Detection System to Measure the Scale Thickness in Three-Phase Flow through Oil and Petrochemical Pipelines in View of Stratified Regime. Processes 2022;10:1866. [DOI: 10.3390/pr10091866] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
7 Mayet AM, Alizadeh SM, Hamakarim KM, Al-qahtani AA, Alanazi AK, Grimaldo Guerrero JW, Alhashim HH, Eftekhari-zadeh E. Application of Wavelet Characteristics and GMDH Neural Networks for Precise Estimation of Oil Product Types and Volume Fractions. Symmetry 2022;14:1797. [DOI: 10.3390/sym14091797] [Reference Citation Analysis]
8 Moradi N, Tavana MH, Habibi MR, Amiri M, Moradi MJ, Farhangi V. Predicting the Compressive Strength of Concrete Containing Binary Supplementary Cementitious Material Using Machine Learning Approach. Materials 2022;15:5336. [DOI: 10.3390/ma15155336] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
9 de-Prado-Gil J, Zaid O, Palencia C, Martínez-garcía R. Prediction of Splitting Tensile Strength of Self-Compacting Recycled Aggregate Concrete Using Novel Deep Learning Methods. Mathematics 2022;10:2245. [DOI: 10.3390/math10132245] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]