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Microstructural aspects of the transition between two regimes in orthogonal cutting of AISI 1045 steel
(Elsevier, 2018)
In depth understanding of tool-chip friction behavior is a significant aspect for tool wear performance in steels. In the present work attention has been paid to the strain mode of the chip section in contact with the rake ...
Understanding human response to tactile stimuli: A Machine Learning approach
(VISLAB, 2018)
Whereas understanding human reaction to touch is of great interest in many medical applications, it is still a very unknown field. This research aims to clarify the nature of the relation between endogenous and exogenous ...
Dynamic DNS Request Monitoring of Android Applications via networking
(IEEE, 2018)
Smart devices are very popular and are becoming ubiquitous in the modern society, with Android OS as the most widespread operating system on current smartphones/tablets. However, malicious applications is one of the major ...
A collaborative framework for android malware detection using DNS & dynamic analysis
(IEEE, 2018)
Nowadays, with the predominance of smart devices such as smartphones, mobile malware attacks have increasingly proliferated. There is an urgent need of detecting potential malicious behaviors so as to hinder them. Furthermore, ...
Labor Induction failure prediction using Gabor filterbanks and Center Symmetric Local Binary Patterns
(IEEE, 2018)
Labor induction is defined as the artificial stimulation of uterine contractions aimed to induce vaginal birth. Occurring in about 20% of pregnancies labor induction has become one the most commonly practiced procedures ...
Identificación de factores que influyen en el compromiso de los empleados utilizando pensamiento sistemicoIdentification of the factors which influence employee commitment using system thinking
(Dyna, 2018)
In our increasingly globalised economy, managing continuous change and remaining competitive has become a central issue for organisations in the industrial sector. Building a sustainable competitive advantage through ...
Study of alternatives and experimental validation for predictions of hole-edge fatigue crack growth in 42CrMo4 steel
(Elsevier, 2018)
The objective of this work is to establish pertinent criteria allowing an optimal alternative to be chosen for calculating the inputs needed to make Run/Repair/Replace decisions and to program inspection plans for cracked ...
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 ...
Connotative meaning of travel modes and activity-travel behavior
(Elsevier Ltd, 2018)
This paper aims to present results of a study regarding how the meaning of travel modes influences on the performance of activities and trips.
Connotative meaning of travel modes was measured using semantic differential ...
Hardening prediction of diverse materials using the Digital Image Correlation technique
(Elsevier, 2018)
In recent years, due to the introduction of higher resistance materials in the automotive sector, sheet metal-forming tool-makers have been forced to deal with more challenging process designs. Therefore, the optimisation ...