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Investigation on Machine Learning Based Approaches for Estimating the Critical Temperature of Superconductors
To bridge the gap, numerous machine learning techniques have been established to estimate critical temperatures as it is extremely challenging to determine.
Atmospheric Influence on the Path Loss at High Frequencies for Deployment of 5G Cellular Communication Networks
However, because 5G-NR operates at a high frequency and has significant propagation, atmospheric fluctuations like temperature, humidity, and rain rate might result in poorer signal reception, and higher path loss effects unlike the prior generation, which employed frequencies below 6 GHz.
Survival Prediction of Children Undergoing Hematopoietic Stem Cell Transplantation Using Different Machine Learning Classifiers by Performing Chi-squared Test and Hyper-parameter Optimization: A Retrospective Analysis
A synthetic dataset is generated by imputing the missing values, transforming the data using dummy variable encoding, and compressing the dataset from 59 features to the 11 most correlated features using Chi-squared feature selection.
Design, Simulation and Feasibility Analysis of Bifacial Solar PV System in Marine Drive Road, Cox's Bazar
A model road of 200 meters is reconnoitered for energy harvesting by solar power using three prominent software namely PVSOL, PVsyst, and SAM where a promising mean annual yield of 70492. 9 kWh is obtained, and the bifacial gain is calculated to be 12. 26%.
