Publicaciones

PUBLICACIONES MAS RECIENTES Y RELEVANTES

Experimentation with Remote Laboratories within the In4Labs Open-Source Platform
Carlos Rejón, Antonio Robles-Gómez, Sergio Martin
IEEE 12th International Conference on E-Learning in Industrial Electronics (ICELIE 2025), co-located within IECON 2025. IEEE Industrial Electronics Society. Madrid, Spain
2025
Docencia práctica de IoT y cloud: Gestión en la Nube de Flotas IoT
Agustin C. Caminero, Rafael Pastor, Llanos Tobarra, Antonio Robles
IoT en educación: Hacia la industria 5.0. ISBN: 979-13-990560-1-3. IEEE; TAEE; UNIR
2025
Plataforma abierta para facilitar el desarrollo de laboratorios remotos de industria 4.0 (IN4LABS)
Carlos Rejón, Sergio Martin, Antonio Robles-Gómez, Manuel Castro, Elio San Cristóbal, Félix García, Clara Pérez, Blanca Quintana, Rosario Gil, Pedro Plaza, África López-Rey, German Carro, José A. Ruipérez, Llanos Tobarra
IoT en educación: Hacia la industria 5.0. ISBN: 979-13-990560-1-3. IEEE; TAEE; UNIR
2025
Internet of Things Platform for Assessment and Research on Cybersecurity of Smart Rural Environments
Daniel Sernández-Iglesias, Llanos Tobarra, Rafael Pastor-Vargas, Antonio Robles-Gómez, Pedro Vidal-Balboa, João Sarraipa
Future Internet, 17, 8, 351 (JCR 2024: Q2)
2025
Comprehensive AI-Driven Privacy Risk Assessment in Mobile Apps and Social Networks
Daniel Blanco-Aza, Antonio Robles-Gómez, Rafael Pastor-Vargas, Llanos Tobarra, Pedro Vidal-Balboa, Mariano Méndez-Suárez
Cluster Computing, The Journal of Networks, Software Tools and Applications, Springer (JCR 2024: Q1)
2025
Automated IoT vulnerability classification using Deep Learning
Daniel Sernández Iglesias, Enrique Fernández Morales, José Carlos García Merino, María de los Llanos Tobarra Abad, Rafael Pastor Vargas, Antonio Robles Gómez, Joao Sarraipa
Proceedings of the MadeAI 2025 Conference – Modelling, Data Analytics and AI in Engineering
2025
Dataset de caracterización de aplicaciones móviles
Enrique García Arias, Rafael Pastor Vargas, Antonio Robles-Gómez, Llanos Tobarra, Pedro Vidal Balboa, Daniel Blanco Aza, Adrián Valtuille Pacios
e-cienciaDatos, V1
2025
Anomaly Detection in Smart Rural IoT Systems
Enrique Fernández Morales, María de los Llanos Tobarra Abad, Antonio Robles Gómez, Rafael Pastor Vargas, Pedro Vidal Balboa, Joao Sarraipa
DCAI 2025 – Lecture Notes in Networks and Systems, Springer
2025
Assessing Feature Selection Techniques for AI-based IoT Network Intrusion Detection
José Carlos García Merino, María de los Llanos Tobarra Abad, Antonio Robles Gómez, Rafael Pastor Vargas, Pedro Vidal Balboa, André Dionisio Rocha, Ricardo Jardim Gonçalves
DCAI 2025 – Lecture Notes in Networks and Systems, Springer
2025
Cerebral ischemia detection using deep learning techniques
Rafael Pastor-Vargas, Cristina Antón-Munárriz, Juan M. Haut, Antonio Robles-Gómez, Mercedes E. Paoletti, José Alberto Benítez-Andrades
Health Information Science and Systems, 13, 36. Springer (JCR 2024: Q2)
2025
Dataset de política de privacidad y términos de uso de aplicaciones móviles en inglés y castellano
Enrique García Arias, Rafael Pastor Vargas, Antonio Robles-Gómez, Llanos Tobarra, Pedro Vidal Balboa, Daniel Blanco Aza, Adrián Valtuille Pacios
e-cienciaDatos, V1
2025
Python Code and Dataset for An Empirical Study of ChatGPT-4o Use in Engineering Education: Prompting and Performance
Lauren Genith Isaza Domínguez, Antonio Robles-Gómez, Rafael Pastor-Vargas
Dataset, Zenodo
2025
Trusted Wills for Digital Assets using blockchain: A Practical Case
Jesús Hernando-Corrochano, Rafael Pastor-Vargas, Roberto Hernández-Berlinches
Blockchain: Research and Applications, Elsevier (JCR 2024: Q1)100289, ISSN 2096-7209
2025
Inheritance of Digital Assets Using Blockchain
Jesús Hernando-Corrochano, Rafael Pastor-Vargas, Roberto Hernández-Berlinches
Blockchain and Applications, 6th International Congress. BLOCKCHAIN 2024. Lecture Notes in Networks and Systems, vol 1256. Springer, Cham
2025
Massive open online courses
Llanos Tobarra
Desafíos y nuevas oportunidades de la educación en la sociedad digital; María García-Pérez Calabuig (dir.), 101-127. Dykinson
2025
A Data-Driven Approach to Engineering Instruction: Exploring Learning Styles, Study Habits, and Machine Learning
Lauren Genith Isaza Domínguez, Antonio Robles-Gómez, Rafael Pastor-Vargas
IEEE Access (JCR 2024: Q2)
2025
Análisis de Vulnerabilidades en Entornos IoT basado en datos en abierto (CVEs)
Llanos Tobarra Abad, Enrique Fernández Morales, José Carlos García Merino, Daniel Sernández Iglesias, Jesús María Juárez Ferreras, Pedro Vidal Balboa, Antonio Robles-Gómez, Rafael Pastor Vargas
e-cienciaDatos, V1
2024
Machine learning models and dimensionality reduction for improving the Android malware detection
Pablo Morán, Antonio Robles-Gómez, Andrés Duque, Llanos Tobarra, Rafael Pastor-Vargas
PeerJ Computer Science, 10 (JCR 2024: Q2)
2024
Decentralized Mechanism for Edge Node Allocation in Access Network: An Experimental Evaluation
Jesus Calle-Cancho, Carlos Cañada, Rafael Pastor-Vargas, Mercedes E Paoletti, Juan M Haut
Future Internet, 16(9), 342 (JCR 2024: Q2)
2024
Privacy Analysis in Mobile Apps and Social Networks using AI Techniques
Daniel Blanco-Aza, Antonio Robles-Gómez, Rafael Pastor-Vargas, Llanos Tobarra, Pedro Vidal-Balboa, Mariano Méndez-Suárez
The Fourth Intelligent Cybersecurity Conference (ICSC 2024)
2024
A Sustainable Educational Tool for Engineering Education Based on Learning Styles, AI, and Neural Networks Aligning with the UN 2030 Agenda for Sustainable Development
Lauren Genith Isaza Domínguez, Fabian Velasquez Clavijo, Antonio Robles-Gómez, Rafael Pastor-Vargas
Sustainability, 16(20) (JCR 2024: Q2)
2024
A Novel Analysis of the Index of Learning Styles of Undergraduate Engineering Students
Lauren Genith Isaza Domínguez, Antonio Robles-Gómez, Rafael Pastor-Vargas
Proceedings of the 22nd LACCEI International Multi-Conference for Engineering, Education and Technology: Sustainable Engineering for a Diverse, Equitable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0., LACCEI 2024
2024
Interactive and Accessible Content for Learning Cybersecurity
Llanos Tobarra, Antonio Robles-Gómez, Rafael Pastor-Vargas, Roberto Hernández
2024 XVI Congreso de Tecnología, Aprendizaje y Enseñanza de la Electrónica (TAEE)
2024
Analysis and Detection of Melanoma through Collective Intelligence with AI
Enrique Fernández-Morales, Carlos L Sanchez-Bocanegra, Rafael Pastor-Vargas, José-Juan Pereyra-Rodriguez, Juan M Haut, José Alberto Benítez-Andrades
2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS)
2024
Hash-based Remote Sensing Image Retrieval
Lirong Han, Mercedes E Paoletti, Xuanwen Tao, Zhaoyue Wu, Juan M Haut, Peng Li, R Pastor-Vargas, Antonio Plaza
IEEE Transactions on Geoscience and Remote Sensing (JCR 2024: Q1)
2024
Easy Development of Industry 4.0 Remote Labs
Carlos Rejón, Sergio Martin, Antonio Robles-Gómez
Electronics, 13(8), 1508 (JCR 2024: Q2)
2024
Hashing for Retrieving Long-tailed Distributed Remote Sensing Images
L Han, ME Paoletti, S Moreno-Álvarez, JM Haut, R Pastor-Vargas, A Plaza
IEEE Transactions on Geoscience and Remote Sensing (JCR 2024: Q1)
2024
Cloud-Based Analysis of Large-Scale Hyperspectral Imagery for Oil Spill Detection
Juan Mario Haut, Sergio Moreno-Alvarez, Rafael Pastor-Vargas, Ambar Perez-Garcia, Mercedes Eugenia Paoletti
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JCR 2024: Q1)
2023
Desarrollo de laboratorios remotos de industria 4.0 (IN4LABS)
Sergio Martín Gutiérrez, Antonio Robles Gómez, Manuel Alonso Castro Gil, Elio SanCristóbal, Gabriel Díaz Orueta, Félix García Loro, Clara Pérez Molina, Blanca Quintana Galera, Rosario Gil Ortego, Pedro Plaza Merino, Africa López-Rey, Germán Carro Fernández, Llanos Tobarra, José A. Ruipérez Valiente
XX encuentro regional AIESAD: Sin límites ni fronteras. Nuevos desafíos de la educación superior en la era digital, 229-238. ISBN 978-958-651-967-0
2023
Dataset Generation and Study of Deepfake Techniques
Sergio A. Falcón-López, Antonio Robles-Gómez, Llanos Tobarra, Rafael Pastor-Vargas
International Conference on Ubiquitous Computing and Ambient Intelligence
2023
Deep Unrolling Network with Active Dictionary Learning for Hyperspectral Anomaly Detection
Z Wu, X Tao, ME Paoletti, JM Haut, R Pastor-Vargas, A Plaza
2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)
2023
Consumption–Production Profile Categorization in Energy Communities
W Rozas, R Pastor-Vargas, AM García-Vico, J Carpio
Energies, 16(19), 6996 (JCR 2023: Q2)
2023
Cloud Implementation of Extreme Learning Machine for Hyperspectral Image Classification
JM Haut, S Moreno-Álvarez, E Moreno-Ávila, VA Ayma, R Pastor-Vargas, Mercedes E Paoletti
IEEE Geoscience and Remote Sensing Letters (JCR 2023: Q1)
2023
Detection of cerebral ischaemia using transfer learning techniques
C Antón-Munárriz, R Pastor-Vargas, JM Haut, A Robles-Gómez, Mercedes E Paoletti, JA Benítez-Andrades
2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS)
2023
Forensic Analysis Laboratory for Sport Devices: A Practical Use Case
P Donaire-Calleja, A Robles-Gómez, L Tobarra, R Pastor-Vargas
Electronics, 12(12), 2710  (JCR 2023: Q2)
2023
Vulnerability Assessment of Learning Management Systems
ESC Ruiz, RP Vargas, RG Ortego, R Meier, H Saliah-Hassane, M Castro
IT Professional, 25 (1), 60-67  (JCR 2023: Q3)
2023
Smart contracts for managing the chain-of-custody of digital evidence: A practical case of study
P Santamaría, L Tobarra, R Pastor-Vargas, A Robles-Gómez
Smart Cities 6(2), 709-727 (JCR 2023: Q1)
2023
Automatización de la adquisición de evidencias para el análisis forense
D García, AR Gómez, L Tobarra, RP Vargas
VIII Jornadas Nacionales de Investigación en Ciberseguridad
2023
Exploring IoT Vulnerabilities in a Comprehensive Remote Cybersecurity Laboratory
I Delgado, E Sancristobal, S Martin, A Robles-Gómez
Sensors 23(22), 9279 (JCR 2023: Q2)
2023
Designing the chain of custody process for blockchain-based digital evidences
P Santamaría, L Tobarra, R Pastor-Vargas, A Robles-Gómez
International Congress on Blockchain and Applications, 225-236
2023
Forensic Technologies to Automate the Acquisition of Digital Evidences
D García, L Tobarra, A Robles-Gómez, R Pastor-Vargas
2022 International Conference on Computational Science and Computational Intelligence (CSCI)
2022
Avoiding e-protoring, ensuring trust: UNED’s AvEx
Jose Luis Aznarte Mellado, Ángeles Sánchez-Elvira Paniagua, Miguel Santamaría Lancho, Llanos Tobarra, Jesús G. Boticario
Designing online assessment. Solutions that are rigorous, trusted, flexible and scalable. European Association of Distance Teaching Universities (EADTU), 75-77
2022
Deep Reinforcement Learning in Agents’ Training: Unity ML-Agents
Laura Almón-Manzano, Rafael Pastor-Vargas, José Manuel Cuadra Troncoso
In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds) Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022. Lecture Notes in Computer Science, vol 13259. Springer, Cham
2022
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study
José Alberto Benítez-Andrades, José-Manuel Alija-Pérez, Maria-Esther Vidal, Rafael Pastor-Vargas, María Teresa García-Ordás
JMIR Medical Informatics, 10(2) (JCR 2022: Q3)
2022
Analyzing the users’ acceptance of an IoT cloud platform using the UTAUT/TAM model
A Robles-Gómez, L Tobarra, R Pastor-Vargas, R Hernández, JM Haut
IEEE Access, 9, 150004-150020 (JCR 2021: Q2)
2021
SiCoDeF² Net: Siamese Convolution Deconvolution Feature Fusion Network for One-Shot Classification
SK Roy, P Kar, ME Paoletti, JM Haut, R Pastor-Vargas, A Robles-Gómez
IEEE Access, 9, 118419-118434 (JCR 2021: Q2)
2021
Adapting Kernels for Hyperspectral Image Classification
JM Haut, ME Paoletti, R Pastor-Vargas, L Tobarra, A Robles-Gómez, R Hernández, E MT Hendrix, J Li
2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
2021
A Recommendation System for Electronic Health Records in the Context of the HOPE Project
RV González, A Robles-Gómez, R Pastor-Vargas, JM Haut, NA Passadore, ME Paoletti, C L Sánchez Bocanegra, L Tobarra, K A Chacón-Vargas, R Hernández Berlinches, F Saigí Rubió
2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)
2021
Studying the Students’ learning in LoT@ UNED
L Tobarra, A Robles-Gómez, R Pastor-Vargas, R Hernández, JM Haut
2021 IEEE Global Engineering Education Conference (EDUCON), 1475-1479
2021
Quality of service provision in fog computing: Network-aware scheduling of containers
AC Caminero, R Muñoz-Mansilla
Sensors 21 (12), 3978 (JCR 2021: Q2)
2021
A cloud game-based educative platform architecture: The cyberscratch project
L Tobarra, A Utrilla, A Robles-Gómez, R Pastor-Vargas, R Hernández
Applied Sciences, 11(2), 807 (JCR 2021: Q2)
2021
A wot platform for supporting full-cycle iot solutions from edge to cloud infrastructures: A practical case
R Pastor-Vargas, L Tobarra, A Robles-Gómez, S Martin, R Hernández, J Cano
Sensors, 20(13), 3770 (JCR 2020: Q1)
2020
Emulating and evaluating virtual remote laboratories for cybersecurity
A Robles-Gómez, L Tobarra, R Pastor-Vargas, R Hernández, J Cano
Sensors, 20(11), 3011 (JCR 2020: Q1)
2020
Game-based learning approach to cybersecurity
L Tobarra, AP Trapero, R Pastor, A Robles-Gómez, R Hernández, A Duque, J Cano
2020 IEEE Global Engineering Education Conference (EDUCON), 1125-1132
2020
Renewable energy remote online laboratories in Jordan universities: Tools for training students in Jordan
R Pastor, L Tobarra, A Robles-Gómez, J Cano, B Hammad, A Al-Zoubi, R Hernández, M Castro
Renewable Energy, 149, 749-759 (JCR 2020: Q1)
2020
Students’ acceptance and tracking of a new container-based virtual laboratory
L Tobarra, A Robles-Gomez, R Pastor, R Hernandez, A Duque, J Cano
Applied Sciences, 10(3), 1091 (JCR 2020: Q2)
2020
Tracking the students’ learning behavior for cybersecurity scenarios.
A Uzal, L Tobarra, A Utrilla, A Robles-Gómez, RP Vargas, R Hernández
LASI-SPAIN, 143-155
2020
Analyzing students’ self-perception of success and learning effectiveness using gamification in an online cybersecurity course
Salvador Ros, Sergio Gonzlez, Antonio Robles, Llanos Tobarra, Agustín Caminero, Jesús Cano
IEEE Access, 8, 97718-97728  (JCR 2020: Q2)
2020