Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Research shows that non-linear periodization is superior for building muscle and strength compared to traditional programming: A 2009 study found that non-linear periodization led to increased ...

ABSTRACT: The article is devoted to decision making regarding controlling the operation of tubular gas heaters (TGH) on wood pellets. Experimental results of the study of the operation of TGH on ...

ABSTRACT: The article is devoted to decision making regarding controlling the operation of tubular gas heaters (TGH) on wood pellets. Experimental results of the study of the operation of TGH on ...

the directed transfer function (DTF), estimated by a linear multivariate autoregressive modelling of ECG, respiratory and skin perfusion signals, and a nonlinear method, the dynamical Bayesian ...

LPFramework is an abstraction to programmatically formulate mixed-integer linear optimization (MILP) problems, which can then be solved using open-source/commercial ...

This paper introduces a mixed-integer non-linear programming (MINLP) model that optimizes these aspects by considering three-dimensional spatial configurations and diverse battery types. The model ...

Abstract: This article investigates the nonlinear model predictive control (NMPC) for electric bus operations (EBOs) under dynamic environments, based on the generalized disjunctive programming (GDP) ...

PyAutoFit is a Python based probabilistic programming language for model fitting and Bayesian ... model and fit it to data via a log likelihood function, using a range of non-linear search algorithms ...