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Decomposition Methods for Machine Learning with Small, Incomplete or Noisy Datasets
(MDPI, 2021)
In many machine learning applications, measurements are sometimes incomplete or noisy resulting in missing features. In other cases, and for different reasons, the datasets are originally small, and therefore, more data ...
PSO for Minimizing Makespan of Non-Identical Parallel Batch Processing Machines
(Institute of Industrial Engineers ( IIE ), 2011-05-25)
Environmental Stress Screening (ESS) chambers are commonly used to test Printed Circuit Boards (PCBs) to detect early failures before they are used in the field. This research is motivated by our interactions with an ...
Implementação do sistema de controle e acionamento de mesa posicionadora XYZ
(Universidade Tecnológica Federal do ParanáCuritibaDepartamento Acadêmico de Eletrotécnica, 2015-07-09)
This task show the restructurin g of a Positioning Table of two axes XY model POSILIN 100, from W EG manufacturer, existing in the special machines laboratory from Federal Technological University of Parana – UTFPR, and ...
Modeling and evaluation of paper machine coater sections part 1: 1-coater section and tension setpoints
(IEEE Transactions on Industry Applications, 2020)
Comparing machine learning algorithm performance for automated trading based on fundamentals
(2019-07-05)
Aplicações recentes de machine learning em finanças têm destacado a capacidade dessas técnicas em prever retornos de ativos. Neste artigo, comparamos diferentes metodologias de machine learning na previsão de retornos de ...
Theory of machine learning based on nonrelativistic quantum mechanics
(World ScientificPE, 2021)
The goal of this paper is the presentation of the elementary procedures that normally are done in nonrelativistic Quantum Mechanics in terms of the principles of Machine Learning. In essence, this paper discusses Mitchell's ...
Spectra of generalized stochastic adding machines
(2018-01-01)
We define stochastic adding machines based on Cantor systems of numeration. We show that the spectra associated to these stochastic adding machines are fibered Julia sets, and we also compute various parts of the spectra ...
Detección de comunicaciones maliciosas a través de Machine Learning y Deep learningDetection of malicious communications through Machine Learning and Deep learning
(Barranquilla, Universidad del Norte, 2021, 2021)
GREEN MACHINING ORIENTED TO DIMINISH DENSITY GRADIENT FOR MINIMIZATION OF DISTORTION IN ADVANCED CERAMICS
(TAYLOR & FRANCIS INCPHILADELPHIA, 2012)
After sintering advanced ceramics, there are invariably distortions, caused in large part by the heterogeneous distribution of density gradients along the compacted piece. To correct distortions, machining is generally ...
GREEN MACHINING ORIENTED TO DIMINISH DENSITY GRADIENT FOR MINIMIZATION of DISTORTION IN ADVANCED CERAMICS
(Taylor & Francis Inc, 2012-01-01)
After sintering advanced ceramics, there are invariably distortions, caused in large part by the heterogeneous distribution of density gradients along the compacted piece. To correct distortions, machining is generally ...