The Markov Chains Model was proposed to analyze stochastic events when recursive cycles occur; for example, when rework in a continuous flow production affects the overall performance.Typically, the analysis of rework and scrap is done through a wasted material cost perspective and not from the perspective of waste capacity that reduces throughput
RUGS Mortality is a main driver in zooplankton population biology but it is poorly constrained in models that describe zooplankton population dynamics, food web interactions and nutrient dynamics.Mortality due to non-predation factors is often ignored even though anecdotal evidence of non-predation mass mortality of zooplankton has been reported re
The LiDAR and photogrammetric point clouds fusion procedure for Coffee Grinders building extraction according to U-Net deep learning model segmentation is provided and tested.Firstly, an initial geo-localization process is performed for photogrammetric point clouds generated using structure-from-motion and dense-matching methods.Then, point cloud s
Pet Bowl Stands Objective: To evaluate the knowledge of dentists with regard to insalubrity in the profession, ways of prevention and legal aspects.Methods: Research was conducted in the form of questionnaires, with 15 objective questions, distributed among 225 dentists that work inthe region of Contagem, Minas Gerais, Brazil.The data collected wer
This paper introduces a new color image superresolution algorithm in an adaptive, robust M-estimation framework.Using a Soaps robust error norm in the objective function, and adapting the estimation process to each of the low-resolution frames, the proposed method effectively suppresses the outliers due to violations of the assumed observation mode