Bilatu
12-tik 1-10 emaitza erakusten
Técnicas de minería de datos aplicadas a series temporales bursátiles
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2007)
Analizar grandes cantidades de datos con rapidez es uno de los mayores retos a los que se enfrentan las empresas hoy en día. Los sistemas informáticos ofrecen la posibilidad de almacenar gran cantidad de datos pero es ...
Improving Waiting Time and Energy Consumption Performance of a Bi- objective Genetic Algorithm embedded in an Elevator Group Control System through passenger flow estimation
(Springer, 2022)
Passenger waiting time is a significant issue related to the quality of service of a multiple lift system; however, energy consumption reduction is also an important concern in the lift industry. In this paper, we evaluate ...
A modified genetic algorithm applied to the elevator dispatching problem
(Springer, 2016)
Reduction of passenger waiting time in a multiple elevator system is an important goal in the lift industry. Genetic algorithms (GAs) have been applied to the dispatching problem in vertical transportation. In this paper, ...
Robustness of inventory replenishment and customer selection policies for the dynamic and stochastic inventory-routing problemRobustness of inventory replenishment policies and client selection methods for the stochastic and dynamic inventory-routing problem
(Elsevier, 2016)
When inventory management, distribution and routing decisions are determined simultaneously, implementing a vendor-managed inventory strategy, a difficult combinatorial optimization problem must be solved to determine which ...
Drilling test data from new and worn bits
(2019)
This directory contains the raw data acquired by Mondragon Unibertsitatea during the execution of drilling tests. These data were used to obtain the results presented in the article "The capacity of statistical features ...
Surface roughness assessment on hole drilled through the identification and clustering of relevant external and internal signal statistical features
(Elsevier, 2022)
Drilling is a continuous cutting process where two or more cutting edges remove the material, to obtain the desired feature. During the chip evacuation, it generally rubs against the generated surface. Thus, the roughness ...
Sensor signal selection for tool wear curve estimation and subsequent tool breakage prediction in a drilling operation
(Taylor & Francis, 2021)
Tool condition monitoring have an important role in machining processes to reduce defective component and ensure quality requirements. Stopping the process before the tool breaks or an excessive tool wear is reached can ...
An optimization methodology for material databases to improve cutting force predictions when milling martensitic stainless steel JETHETE-M152
(Elsevier Ltd., 2018)
A material database for JETHETE-M152 was developed applying a novel methodology for improving the precision of cutting forces. This approach defines a variable specific edge force depending on the feed rate and cutting ...
A case study on the use of machine learning techniques for supporting technology watch
(Elsevier, 2018)
Technology Watch human agents have to read many documents in order to manually categorize and dispatch them to the correct expert, that will later add valued information to each document. In this two step process, the first ...