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Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data
(MDPI, 2021)
Predictive maintenance (PdM) has the potential to reduce industrial costs by anticipating failures and extending the work life of components. Nowadays, factories are monitoring their assets and most collected data belong ...
Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
(Springer Science+Business Media, LLC, 2022)
Given the growing amount of industrial data in the 4th industrial revolution, deep learning solutions have become popular for predictive maintenance (PdM) tasks, which involve monitoring assets to anticipate their requirements ...
The MANTIS Book. Cyber Physical System Based Proactive Collaborative Maintenance
(River Publishers, 2018)
The Way Cyber Physical Systems Will Revolutionise Maintenance
(CISTER Research Center, 2017)
The way maintenance is carried out is altering rapidly. The introduction of Cyber Physical Systems (CPS) and cloud technologies are providing new technological possibilities that change dramatically the way it is possible ...
A study of the personalization of spam content using Facebook public information
(Oxford University Press, 2017)
Millions of users per day are affected by unsolicited email campaigns. Spam filters are capable of detecting and avoiding an increasing number of messages, but researchers have quantified a response rate of a 0.006% [1], ...
SDRS: A new lossless dimensionality reduction for text corpora
(Elsevier Ltd., 2020)
In recent years, most content-based spam filters have been implemented using Machine Learning (ML) approaches by means of token-based representations of textual contents. After introducing multiple performance enhancements, ...
Introduction
(River Publishers, 2018)
Data minig approaches for analysis of worm activity toward automatic signature generation
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2007)
En esta tesis se propone un marco para el análisis de tráfico no solicitado (como intentos de propagación de gusanos informáticos) recopilados por un sistema de monitorización de red. El análisis de esta información puede ...
Providing Proactiveness: Data Analysis Techniques Portfolios
(River Publishers, 2018)
Short Messages Spam Filtering Using Sentiment Analysis
(Springer International Publishing, 2016)
In the same way that short instant messages are more and more used, spam and non-legitimate campaigns through this type of communication systems are growing up. Those campaigns, besides being an illegal online activity, ...
