Solar energy offers a promising solution for clean cooling, particularly through absorption refrigeration systems (ARS). However, the intermittent nature of solar radiation and the limited ...

Abstract: The transportation problem is one of the most important applications of linear programming that has contributed to supporting decision-making. Its use began to facilitate the flow of goods ...

A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc ...

SIFT-MS provides real-time, sensitive quantification of diverse odorants, offering an alternative to costly, limited human sensory panels. It demonstrates high correlation with sensory evaluations in ...

This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...

Computational models have made great process toward simulating complex physical phenomena. With this progress has come a significant increase in the computational cost and software complexity of the ...

Sign up for the daily CJR newsletter. Objectivity hasn’t always been a cornerstone of journalism. American publishers first turned to objectivity in the early ...

ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...

O.A.Pavlov,M.Y.Kyselov,B.P.Palekha, AGGREGATED VOLUMETRIC-TEMPORARY PLANNING MODELS FOR ONE CLASS OF DISCREET PRODUCTION SYSTEMS. Optimization of schedules for discrete production systems with time ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The techniques of computational photodynamics are increasingly employed to unravel ...