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Python and MATLAB integration reshapes digital circuit simulation

New integrations between Python and MATLAB’s Simulink platform are enabling engineers to coexecute Python models, automate VLSI workflows, and bridge AI-driven design with traditional simulation.
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Level up your data analysis game with Python and R

Python and R each shine in different areas of data science—Python in machine learning and automation, R in statistical analysis and visualization. By integrating them, you can combine their strengths ...
Scientific Research Publishing

Hayes, A. F. (2022). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (3rd ed.). The Guilford Press.

ABSTRACT: The purpose of this study was to establish the mediating role of job satisfaction (JS) in the relationship between job involvement (JI) and psychological well-being (PWB). A cross-sectional ...
IEEE

Comparative Analysis of the Efficiency of Synthetic Data Generation Methods in Classification and Regression Problems

Abstract: The use of synthetic data has become an increasingly relevant approach in machine learning, especially in situations involving limited, imbalanced, or sensitive datasets. This study presents ...
IEEE

A Comparative Analysis of Logistic Regression and Random Forest Algorithm for Cyber Attacks Classification

Abstract: This research aims to compare the performance of Logistic Regression and Random Forest algorithms in classifying cyber-attack types. Using a data set consisting of 494,021 data points with ...