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Fault Diagnosis Strategies for SOFC-Based Power Generation Plants., , , , , , and . Sensors, 16 (8): 1336 (2016)Multiresolution Supervised Classification of Panchromatic and Multispectral Images by Markov Random Fields and Graph Cuts., , and . IEEE Trans. Geosci. Remote. Sens., 54 (9): 5054-5070 (2016)Supervised classification of thermal infrared hyperspectral images through Bayesian, Markovian, and region-based approaches., , , , and . IGARSS, page 937-940. IEEE, (2016)Very High Resolution Optical Image Classification Using Watershed Segmentation and a Region-Based Kernel., , , , and . IGARSS, page 1312-1315. IEEE, (2018)Monitoring the Recovery after 2016 Hurricane Matthew in Haiti via Markovian Multitemporal Region-Based Modeling., , , , , , , , , and 1 other author(s). Remote. Sens., 13 (17): 3509 (2021)Kernel-based Learning for Fault Detection and identification in fuel cell Systems., , , , , and . Handbook of Pattern Recognition and Computer Vision, World Scientific, (2016)Parameter optimization for Markov random field models for remote sensing image classification through sequential minimal optimization., , and . IGARSS, page 2346-2349. IEEE, (2015)Contextual remote-sensing image classification through support vector machines, Markov random fields and graph cuts., , and . IGARSS, page 3722-3725. IEEE, (2014)Recovery Monitoring in Haiti After Hurricane Matthew Through Markov Random Fields and A Region-Based Approach., , , , , , and . IGARSS, page 9357-9360. IEEE, (2019)