Positional accuracy of cartographic products is typically evaluated using positional discrepancies and point-based techniques. However, using linear features has some advantages over the point-based ...

Abstract: Locomotion gaits are fundamental for control of soft terrestrial robots. However, synthesis of these gaits is challenging due to modeling of robot-environment interaction and lack of a ...

Asphalt is a complex multi-component material widely used in road engineering, waterproofing and other applications 1,2. Based on its compositional characteristics, asphalt is typically divided into ...

This paper deals with the use of multiple linear regression to predict the viscosity of engine oil at 100 °C based on the analysis of selected parameters obtained by Fourier transform infrared ...

August 16, 2012 Jeff Breidenbach This software supports the linear book scanner. It has been tested on MacOS and Ubuntu 12.04. Instructions for Ubuntu follow. If you have complete and working hardware ...

Modeling marketing and pricing decisions based on historical data is one of the most efficient ways to guide business strategies. This article shows how statistics and programming work together to ...

An interesting recent development in emotion research and clinical psychology is the discovery that affective states can be modeled as a network of temporally interacting moods or emotions.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Nowadays, frontiers among different sciences are revealed as diffuse, and as a ...

Many complex data analysis problems within and beyond the scientific domain involve discovering graphical structures and functional relationships within data. Nonlinear variance decomposition with ...

Abstract: This paper presents a tabu search-based heuristic solver for general integer linear programming (ILP) problems as a dependable alternative to branch-and-bound (B&B) solvers. It aims to ...

In today’s fast-paced, data-driven world, the role of a data analyst has become more crucial than ever. Organizations across industries rely on these professionals to make sense of the vast amounts of ...