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Delving into Android Malware Families with a Novel Neural Projection Method
(Willey-Hindawi, 2019)
[Abstract] Present research proposes the application of unsupervised and supervised machine-learning techniques to characterize Android malware families. More precisely, a novel unsupervised neural-projection method for ...
A hybrid one-class approach for detecting anomalies in industrial systems
(John Wiley & Sons Ltd, 2022-03-08)
[Abstract]: The significant advance of Internet of Things in industrial environments has provided the possibility of monitoring the different variables that come into play in an industrial process. This circumstance allows ...
A novel ensemble Beta-scale invariant map algorithm
(Institute of Electrical and Electronics Engineers Inc., 2020-06-11)
[Abstract]: This research presents a novel topology preserving map (TPM) called Weighted Voting Supervision -Beta-Scale Invariant Map (WeVoS-Beta-SIM), based on the application of the Weighted Voting Supervision (WeVoS) ...
Bioinspired hybrid model to predict the hydrogen inlet fuel cell flow change of an energy storage system
(MDPI, 2019-11-07)
[Abstract]: The present research work deals with prediction of hydrogen consumption of a fuel cell in an energy storage system. Due to the fact that these kind of systems have a very nonlinear behaviour, the use of traditional ...
Intrusion Detection With Unsupervised Techniques for Network Management Protocols Over Smart Grids
(MDPI AG, 2020-03-27)
[Abstract] The present research work focuses on overcoming cybersecurity problems in the Smart Grid. Smart Grids must have feasible data capture and communications infrastructure to be able to manage the huge amounts of ...
Editorial: Special issue HAIS20
(Oxford University Press, 2023-04)
A new method for anomaly detection based on non-convex boundaries with random two-dimensional projections
(Elsevier, 2020-08-19)
[Abstract] The implementation of anomaly detection systems represents a key problem that has been focusing the efforts of scientific community. In this context, the use one-class techniques to model a training set of ...
Hydrogen consumption prediction of a fuel cell based system with a hybrid intelligent approach
(Elsevier, 2020-08-15)
[Abstract] Energy storage is one of the challenges of the electric sector. There are several different technologies available for facing it, from the traditional ones to the most advanced. With the current trend, it is ...
Gaining deep knowledge of Android malware families through dimensionality reduction techniques
(Oxford University Press, 2019-04)
[Abstract] This research proposes the analysis and subsequent characterisation of Android malware families by means of low dimensional visualisations using dimensional reduction techniques. The well-known Malgenome data ...