Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...

With A.I. transforming just about every industry on our planet, engineers developing this technology are arguably the most ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

Objectives To derive sex-specific peak oxygen uptake (VO 2peak) reference equations for cycle ergometer cardiopulmonary exercise testing (CPET) that integrate estimations of lean body mass (eLBM) and ...

Monday, Nov 3 Language models, attention mechanisms, transformers (Zico Kolter) Wednesday, Nov 5 Language models, attention mechanisms, transformers (Zico Kolter) Friday, Nov 7 Language models, ...

Multiple Linear Regression: This project presents the implementation of a Multiple Linear Regression model to predict company profit based on multiple business-related factors. The model is developed ...