Titlebook: Communication and Intelligent Systems; Proceedings of ICCIS Harish Sharma,Mukesh Kumar Gupta,Wang Lipo Conference proceedings 2021 The Edit

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Prediction of California Bearing Ratio of Subgrade Soils Using Artificial Neural Network Principles CBR values of subgrade along a proposed road are collected. Nearly, 480 samples were collected in which 15 samples were used for comparison (control value). The results revealed that the artificial neural networks (ANN) prediction models were significant promising tool for predicting CBR of subgrad

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Thermal Modeling of the GaN HEMT Device Using Decision Tree Machine Learning Technique,ristics accurately depending on the determined mean-squared error (MSE) between the actual and anticipated characteristics. The paper also indicates that the decision tree technique could be specifically beneficial when data are nonlinear and multidimensional, with the different process parameters exhibited profoundly complex interactions.