These are my go-to libraries for Python data crunching.

Abstract: The diesel generators sets (DGs) and battery storage systems (BSS) are the essential energy sources in a modern high-rise buildings. In this paper DG, BSS and Photovoltaic system (PV) has ...

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 ...

The Color Performance Review (CPR) Tool for Endoscopy Devices is a software program written in Matlab for analyzing color performance testing data in endoscopy device. The tool accepts the testing ...

Data of methylene blue number and iodine number of activated carbons samples were calibrated against the respective surface area, micropore volume and total pore volume using multiple regression. The ...

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.

mSINDy - modular Sparse Identification of Nonlinear Dynamics is a modular MATLAB framework for data-driven discovery of governing equations in nonlinear dynamical systems based on sparse regression ...