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Redutor para retrofitting CNC de uma fresadora manual
(Universidade Tecnológica Federal do ParanáPonta GrossaBrasilDepartamento Acadêmico de MecânicaEngenharia MecânicaUTFPR, 2018-06-28)
A machine of milling belong of Federal University of Technology - Câmpus Ponta Grossa was been parked. A student group mentored by professor Doctor Marcelo Vasconcelos de Carvalho determined to carry out a retrofitting in ...
HOW FAR do WE GET USING MACHINE LEARNING BLACK-BOXES?
(World Scientific Publ Co Pte Ltd, 2012-03-01)
With several good research groups actively working in machine learning (ML) approaches, we have now the concept of self-containing machine learning solutions that oftentimes work out-of-the-box leading to the concept of ...
Obtaining Anti-Missile Decoy Launch Solution from a Ship Using Machine Learning Techniques
One of the most dangerous situations a warship may face is a missile attack launched from other ships, aircrafts, submarines or land. In addition, given the current scenario, it is not ruled out that a terrorist group may ...
Hard machining, glaze firing and hydrofluoric acid etching: Do these procedures affect the flexural strength of a leucite glass-ceramic?
(Elsevier B.V., 2015-07-01)
Objective. To evaluate the effects of hard machining, glaze firing and hydrofluoric acid etching on the biaxial flexural strength and roughness of a CAD/CAM leucite glass-ceramic; to investigate if ceramic post-machining ...
A snoring classifier based on heart rate variability analysis
(2011-12-01)
The effect of snoring on the cardiovascular system is not well-known. In this study we analyzed the Heart Rate Variability (HRV) differences between light and heavy snorers. The experiments are done on the full-whole-night ...
A snoring classifier based on heart rate variability analysis
(2011-12-01)
The effect of snoring on the cardiovascular system is not well-known. In this study we analyzed the Heart Rate Variability (HRV) differences between light and heavy snorers. The experiments are done on the full-whole-night ...
Topology-aware Virtual Machine Placement In Data Centers
(SPRINGERDORDRECHT, 2016)
Topology-aware Virtual Machine Placement In Data Centers
(SpringerDordrecht, 2016)
Predicting EHL film thickness parameters by machine learning approaches
(2022)
Non-dimensional similarity groups and analytically solvable proximity equations can be used to estimate integral fluid film parameters of elastohydrodynamically lubricated (EHL) contacts. In this contribution, we demonstrate ...