Adequate airflow is needed for workers to survive in the tunnels and shafts far below the surface. Additionally, water that percolates down from rainfall or flows in at any intersections with aquifers ...
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The MATPOWER Optimal Scheduling Tool (MOST) is framework for solving generalized steady-state electric power scheduling problems. MOST can be used to solve problems as simple as a deterministic, ...
Heat transfer, encompassing conduction, convection, and radiation, is a fundamental physical process critical to engineering, environmental science, and materials development. Modeling heat transfer ...
Solving combinatorial optimization problems is essential in scientific, technological, and engineering applications, but can be very time and energy-consuming using classical algorithms executed on ...
The reliable operation of power systems while integrating renewable energy systems depends on Optimal Power Flow (OPF). Power systems meet the operational demands by efficiently managing the OPF.
Abstract: This paper presents an approach for solving the Economic Dispatch Problem (EDP) in power systems considering transmission losses in a recursive manner via a Holomorphic Embedding Method (HEM ...
Department of Chemical Engineering, State University of Maringá, Maringá 87020-900, Brazil ...
As a complex cognitive activity, knowledge transfer is mostly correlated to cognitive processes such as working memory, behavior control, and decision-making in the human brain while engineering ...
In this paper, we demonstrate a closed-loop EEG-based learning environment, that adapts instructional learning material online, to improve learning success in students during arithmetic learning. The ...
Whereas superhydrophobic surfaces (SHSs) have long promised large drag reductions, experiments have provided inconsistent results, with many textures yielding little or no benefit. Given the vast ...
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