Exploració per tema "Anomaly detection"
Ara es mostren els items 1-20 de 21
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A fuzzy anomaly detection system based on hybrid PSO-Kmeans algorithm in content-centric networks
(2015-02-03)
Article
Accés obertIn Content-Centric Networks (CCNs) as a possible future Internet, new kinds of attacks and security challenges – from Denial of Service (DoS) to privacy attacks – will arise. An efficient and effective security mechanism ... -
Anomaly detection in electromechanical systems by means of deep-autoencoder
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Text en actes de congrés
Accés obertAnomaly detection in manufacturing processes is one of the main concerns in the new era of the Industry 4.0 framework. The detection of uncharacterized events represents a major challenge within the operation monitoring ... -
Anomaly detection in gas turbines using outlet energy analysis with cluster-based matrix profile
(2024-01-30)
Article
Accés obertGas turbines play a key role in generating power. It is really important that they work efficiently, safely, and reliably. However, their performance can be adversely affected by factors such as component wear, vibrations, ... -
Anomaly detection model selection using minimum description length
(Universitat Politècnica de Catalunya, 2020-07)
Projecte Final de Màster Oficial
Accés restringit per acord de confidencialitat
Realitzat a/amb: University of Edinburgh. School of InformaticsDetecting objects that deviate significantly from the rest of a dataset is a complex process which requires advanced techniques. A great variety of algorithms to detect anomalies have been presented over the last years, ... -
Anomaly detection of satellite systems via Machine Learning
(Universitat Politècnica de Catalunya, 2020-07-03)
Treball Final de Grau
Accés restringit per acord de confidencialitat -
Big data-driven automated anomaly detection and performance forecasting in mobile networks
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés restringit per política de l'editorialThe massive amount of data available in operational mobile networks offers an invaluable opportunity for operators to detect and analyze possible anomalies and predict network performance. In particular, application of ... -
Deep learning based methodologies applied to industrial electromechanical systems monitoring
(Universitat Politècnica de Catalunya, 2023-10-10)
Tesi
Accés obert(English) In recent years, there has been significant attention from both the academic and industry sectors towards condition-based maintenance of rotating systems. This attention stems from the high relevance of these ... -
Deep learning-based adaptive compression and anomaly detection for smart B5G use cases operation
(2023-01-16)
Article
Accés obertThe evolution towards next-generation Beyond 5G (B5G) networks will require not only innovation in transport technologies but also the adoption of smarter, more efficient operations of the use cases that are foreseen to ... -
Deep-compact-clustering based anomaly detection applied to electromechanical industrial systems
(Multidisciplinary Digital Publishing Institute (MDPI), 2021-08-30)
Article
Accés obertThe rapid growth in the industrial sector has required the development of more productive and reliable machinery, and therefore, leads to complex systems. In this regard, the automatic detection of unknown events in machinery ... -
Detection of anomalous patterns in water consumption: an overview of approaches
(Springer, Cham, 2020-08-25)
Capítol de llibre
Accés obertThe water distribution system constantly aims at improving and efficiently distributing water to the city. Thus, understanding the nature of irregularities that may interrupt or exacerbate the service is at the core of ... -
Early fault detection in the main bearing of wind turbines based on Gated Recurrent Unit (GRU) neural networks and SCADA data
(Institute of Electrical and Electronics Engineers (IEEE), 2022)
Article
Accés obertFailures in the main bearings of wind turbines are critical in terms of downtime and replacement cost. Early diagnosis of their faults would lower the levelized cost of wind energy. Thus, this work discusses a gated recurrent ... -
Early fault diagnosis strategy for WT main bearings based on SCADA data and one-class SVM
(2022-06-16)
Article
Accés obertTo reduce the levelized cost of wind energy, through the reduction in operation and maintenance costs, it is imperative that the wind turbine downtime is reduced through maintenance strategies based on condition monitoring. ... -
Event detection in location-based social networks
(Springer, 2017)
Capítol de llibre
Accés obertWith the advent of social networks and the rise of mobile technologies, users have become ubiquitous sensors capable of monitoring various real-world events in a crowd-sourced manner. Location-based social networks have ... -
Leveraging network data analytics function and machine learning for data collection, resource optimization, security and privacy in 6G networks
(Institute of Electrical and Electronics Engineers (IEEE), 2024-01-30)
Article
Accés obertThe full deployment of sixth-generation (6G) networks is inextricably connected with a holistic network redesign able to deal with various emerging challenges, such as integration of heterogeneous technologies and devices, ... -
Machine Learning applied to Kubernetes security in AWS
(Universitat Politècnica de Catalunya, 2019-05-30)
Treball Final de Grau
Accés restringit per decisió de l'autor
Realitzat a/amb: SkyscannerThe purpose of this work is to create a way to detect new attacks in Kubernetes by implementing an anomaly detection and alerting framework that targets the logs generated by the Kubernetes apiserver. The framework will ... -
New Innovations in eIDAS-compliant Trust Services: Anomaly detection on log data
(Universitat Politécnica de Catalunya, 2020-06)
Projecte Final de Màster Oficial
Accés obertTrustedX is a product that provides electronic signatures, it has been on the market for several years now, in result of that, market tendencies have changed and technologies too which made this product be on the same level ... -
On anomaly-aware structural health monitoring at the extreme edge
(Institute of Electrical and Electronics Engineers (IEEE), 2023-01-01)
Article
Accés obertSelf-awareness has been successfully utilized to create adaptive behaviors in wireless sensor nodes. However, its adoption can be daunting in scenarios, such as structural health monitoring, where the monitored environment ... -
Outlier mining in high-dimensional data using the Jensen-Shannon divergence and graph structure analysis
(2022-12-15)
Article
Accés obertReliable anomaly/outlier detection algorithms have practical applications in many fields. For instance, anomaly detection allows to filter and clean the data used to train machine learning algorithms, improving their ... -
Semantic stream computing for large data-set analytics
(Universitat Politécnica de Catalunya, 2017-12)
Projecte Final de Màster Oficial
Accés obertOne of the most interesting research fields in IT industries is the quest of software able to deal efficiently with Big Data. In this thesis, we have studied Big Data especially about their spread in healthcare, where data ... -
Unveiling the potential of graph neural networks for BGP anomaly detection
(Association for Computing Machinery (ACM), 2022)
Text en actes de congrés
Accés obertThe Border Gateway Protocol (BGP) is central to the global connectivity of the Internet, enabling fast and efficient dissemination of routing information. Hence, detecting any anomaly concerning BGP announcements is of ...
