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Paulo Gil
Paulo Gil
NOVA - School of Science and Technology
Verified email at fct.unl.pt
Title
Cited by
Cited by
Year
A survey on home energy management
J Leitao, P Gil, B Ribeiro, A Cardoso
IEEE Access 8, 5699-5722, 2020
1452020
A new algorithm for detection of S1 and S2 heart sounds
D Kumar, P Carvalho, M Antunes, P Gil, J Henriques, L Eugenio
2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006
782006
Gain tuning of fuzzy PID controllers for MIMO systems: A performance-driven approach
P Gil, C Lucena, A Cardoso, LB Palma
IEEE Transactions on Fuzzy Systems 23 (4), 757-768, 2014
642014
The GINSENG system for wireless monitoring and control: Design and deployment experiences
T O'donovan, J Brown, F Büsching, A Cardoso, J Cecílio, JD Ó, P Furtado, ...
ACM Transactions on Sensor Networks (TOSN) 10 (1), 1-40, 2013
632013
Low complexity algorithm for heart sound segmentation using the variance fractal dimension
P Carvalho, P Gilt, J Henriques, L Eugénio, M Antunes
IEEE International Workshop on Intelligent Signal Processing, 2005., 194-199, 2005
572005
Affine neural network-based predictive control applied to a distributed solar collector field
P Gil, J Henriques, A Cardoso, P Carvalho, A Dourado
IEEE Transactions on control systems technology 22 (2), 585-596, 2013
422013
Outliers detection methods in wireless sensor networks
P Gil, H Martins, F Januário
Artificial Intelligence Review 52, 2411-2436, 2019
392019
People-centric internet of things—challenges, approach, and enabling technologies
F Boavida, A Kliem, T Renner, J Riekki, C Jouvray, M Jacovi, S Ivanov, ...
Intelligent Distributed Computing IX: Proceedings of the 9th International …, 2016
372016
Dealing with outliers in wireless sensor networks: an oil refinery application
P Gil, A Santos, A Cardoso
IEEE transactions on control systems technology 22 (4), 1589-1596, 2013
362013
Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review
F Fernandes, I Barbalho, D Barros, R Valentim, C Teixeira, J Henriques, ...
Biomedical engineering online 20 (1), 61, 2021
352021
A distributed multi-agent framework for resilience enhancement in cyber-physical systems
F Januário, A Cardoso, P Gil
IEEE Access 7, 31342-31357, 2019
342019
A Remote and Virtual Lab with Experiments for Secondary Education, Engineering and Lifelong Learning Courses.
A Cardoso, M Vieira, P Gil
International Journal of Online Engineering 8, 2012
342012
Adaptive neural model-based predictive control of a solar power plant
P Gil, J Henriques, P Carvalho, H Duarte-Ramos, A Dourado
Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002
272002
Security challenges in SCADA systems over Wireless Sensor and Actuator Networks
F Januário, C Carvalho, A Cardoso, P Gil
2016 8th International Congress on Ultra Modern Telecommunications and …, 2016
252016
Recursive subspace system identification for parametric fault detection in nonlinear systems
P Gil, F Santos, L Palma, A Cardoso
Applied Soft Computing 37, 444-455, 2015
242015
A support vector machine based technique for online detection of outliers in transient time series
H Martins, L Palma, A Cardoso, P Gil
2015 10th Asian Control Conference (ASCC), 1-6, 2015
242015
Demonstration of a remote control laboratory to support teaching in control engineering subjects
A Cardoso, V Sousa, P Gil
IFAC-PapersOnLine 49 (6), 226-229, 2016
232016
A machine learning technique in a multi-agent framework for online outliers detection in Wireless Sensor Networks
H Martins, F Januário, L Palma, A Cardoso, P Gil
IECON 2015-41st Annual Conference of the IEEE Industrial Electronics Society …, 2015
232015
Adaptive neural output regulation control of a solar power plant
J Henriques, P Gil, A Cardoso, P Carvalho, A Dourado
Control Engineering Practice 18 (10), 1183-1196, 2010
232010
Intelligent human-computer interface for improving pointing device usability and performance
RA Antunes, LB Palma, FV Coito, H Duarteramos, P Gil
2016 12th IEEE International Conference on Control and Automation (ICCA …, 2016
212016
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