Ángel Luis Perales Gómez

Author

Also Known As

Angel Luis Perales Gomez, Angel Luis Perales Gómez, Gómez, Angel Luis Perales, Gómez, Ángel Luis Perales, Ángel L. Perales Gómez, Ángel Luis Perales Gómez

Publications

844

Citations

H-Index

Concepts

All Affiliations

Universidad de Murcia Waterford Institute of Technology University of Zurich

ÁL

About

Ángel Luis Perales Gómez is an author at Universidad de Murcia specializing in computer science, engineering, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	693
2	Computer Engineering	4	4	465
3	Business	1	1	108
4	Medicine	1	1	121
5	Public Health	1	1	44

Ángel Luis Perales Gómez

Publications

814

Citations

H-Index

Page 1

	Year	Citations
A Self-Adaptive Deep Learning-Based System for Anomaly Detection in 5G Networks Lorenzo Fernández Maimó, Ángel Luis Perales Gómez, Félix J. García Clemente, IEEE Access Anomaly DetectionMachine LearningEngineeringCybersecurity Defense Systems5G System	2018	295
Intelligent and Dynamic Ransomware Spread Detection and Mitigation in Integrated Clinical Environments Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Ángel Luis Perales Gómez, Sensors EngineeringMachine LearningInformation SecurityInformation ForensicsIce Medical Devices	2019	121
On the Generation of Anomaly Detection Datasets in Industrial Control Systems Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, IEEE Access Anomaly DetectionMachine LearningEngineeringIndustrial EngineeringCyber Anomalies	2019	108
MADICS: A Methodology for Anomaly Detection in Industrial Control Systems Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Symmetry Anomaly DetectionMachine LearningEngineeringIndustrial EngineeringFeature Extraction	2020	76
Fedstellar: A Platform for Decentralized Federated Learning Enrique Tomás Martínez Beltrán, Ángel Luis Perales Gómez, Chao Feng, Expert Systems with Applications	2023	66
FARMIT: continuous assessment of crop quality using machine learning and deep learning techniques for IoT-based smart farming Ángel Luis Perales Gómez, Pedro E. López-de-Teruel, Alberto Ruiz, Cluster Computing Precision AgricultureEngineeringMachine LearningMachine Learning ToolAgricultural Economics	2022	44
SUSAN: A Deep Learning based anomaly detection framework for sustainable industry Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Sustainable Computing Informatics and Systems	2023	31
SafeMan: A unified framework to manage cybersecurity and safety in manufacturing industry Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Software Practice and Experience EngineeringMachine LearningInformation SecuritySmart ManufacturingSafety Science	2020	25
Crafting Adversarial Samples for Anomaly Detectors in Industrial Control Systems Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Procedia Computer Science Anomaly DetectionMachine LearningEngineeringInformation SecurityInformation Forensics	2021	24
Behavioral fingerprinting to detect ransomware in resource-constrained devices Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Jan von der Assen, Computers & Security	2023	14

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