Prediction of the shear strength parameters from easily-available soil properties by means of multivariate regression and artificial neural network methods
Shear strength parameters of soils are essential in civil projects. Two important parameters
for these projects are the Ø'and C'of saturated soils, which are usually obtained by the …
for these projects are the Ø'and C'of saturated soils, which are usually obtained by the …
[HTML][HTML] Improved BLS based transformer fault diagnosis considering imbalanced samples
C Xu, X Li, Z Wang, B Zhao, J **e - Energy Reports, 2022 - Elsevier
At present, the traditional machine learning diagnosis method has some problems, such as
the imbalance of various fault types and the great difference of recognition effect between …
the imbalance of various fault types and the great difference of recognition effect between …
[PDF][PDF] An Analysis of Prediction of Students' Results Using Deep Learning
Many eŽorts have already been carried out for education mining in the past. Many
techniques and models are already developed to predict and identify students' performance …
techniques and models are already developed to predict and identify students' performance …
[PDF][PDF] A comparative analysis of prediction of student results using decision trees and random forest
Many types of research are based on students' past data for predicting their performance. A
lot of data mining techniques for analyzing the data have been used so far. This research …
lot of data mining techniques for analyzing the data have been used so far. This research …