Robustness Study of an Embedded Operating System for Industrial Applications. - Juan Pardo; José Carlos Campelo; Juan José Serrano (COMPSAC Workshops, 2004)

Reliability study of an embedded operating system for industrial applications. - Juan Pardo; José Carlos Campelo; Juan José Serrano (GI Jahrestagung (1), 2004)

On-chip Debugging-based Fault Emulation for Robustness Evaluation of Embedded Software Components. - Juan-Carlos Ruiz-Garcia 001; José Carlos Campelo; Pedro J. Gil; Juan Pardo (PRDC, 2005)

Temporal Characterization of Embedded Systems Using Nexus. - Juan Pardo; José Carlos Campelo; Juan-Carlos Ruiz-Garcia 001; Pedro J. Gil (EDCC, 2006)

Technologies for the Development of Dependable and Secure Component-based Embedded Systems: TecnoSeC Project. - Juan Pardo; David de Andrés; Juan Carlos Ruiz 001; José Carlos Campelo (ESA, 2009)

NEXUS Capabilities for Embedded Software and Hardware Validation. - Juan Pardo; José Carlos Campelo; Juan José Serrano (ESA, 2009)

Non-intrusive Tool for Verifying COTS Components in Embedded Systems. - Juan Pardo; José Carlos Campelo; Juan José Serrano (ESA, 2009)

WiSNetCoL: A Wireless Sensors Network based Architecture to Monitor and Control Residential Electrical Loads. - José Carlos Campelo; Juan Pardo; Angel Molina; Juan José Serrano (ICWN, 2009)

Some Empirical Evaluations of a Temperature Forecasting Module based on Artificial Neural Networks for a Domotic Home Environment. - Francisco Zamora-Martínez; Pablo Romeu; Juan Pardo; Daniel Tormo (KDIR, 2012)

Time-Series Forecasting of Indoor Temperature Using Pre-trained Deep Neural Networks. - Pablo Romeu; Francisco Zamora-Martínez; Paloma Botella-Rocamora; Juan Pardo (ICANN, 2013)

Towards Energy Efficiency: Forecasting Indoor Temperature via Multivariate Analysis. - Francisco Zamora-Martínez; Pablo Romeu; Paloma Botella-Rocamora; Juan Pardo (CoRR, 2013)

Online Learning Algorithm for Time Series Forecasting Suitable for Low Cost Wireless Sensor Networks Nodes. - Juan Pardo; Francisco Zamora-Martínez; Paloma Botella-Rocamora (Sensors, 2015)

Addendum: Pardo, J.; Zamora-Martínez, F.; Botella-Rocamora, P. Online Learning Algorithm for Time Series Forecasting Suitable for Low Cost Wireless Sensor Networks Nodes. Sensors 2015, 15, 9277-9304. - Juan Pardo; Francisco Zamora-Martínez; Paloma Botella-Rocamora (Sensors, 2015)

Integration of Unsupervised and Supervised Criteria for Deep Neural Networks Training. - Francisco Zamora-Martínez; Javier Muñoz-Almaraz; Juan Pardo (ICANN (2), 2016)

A Technical Approach to Achieve Zero Defects Manufacturing Process in the ZDMP Project. - Víctor Anaya; Daniela Kirchberger; Juan Pardo; Óscar Salgado; Francisco Fraile (I-ESA Workshops, 2020)

Modelling, Predicting, Inspecting and Supervising Product Quality for Zero Defects Manufacturing in ZDMP Project. - Mauro Fabrizioli; Juan Pardo; Oscar Salgado; Pedro Villalba (I-ESA Workshops, 2020)