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Multi-objective optimization under positivity constraints, with a meteorological example., , , , и . FUZZ-IEEE, стр. 1-7. IEEE, (2010)Improving environmental sensor data quality using a categorization of data properties., , и . ICIQ, MIT Information Quality Program, (2010)Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches., , , , , и . Remote. Sens., 13 (22): 4572 (2021)DaProS: A Data Property Specification Tool to Capture Scientific Sensor Data Properties., , и . ER Workshops, том 6413 из Lecture Notes in Computer Science, стр. 232-241. Springer, (2010)How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing., , , и . WCSC, том 361 из Studies in Fuzziness and Soft Computing, стр. 595-604. Springer, (2016)Phenocams Bridge the Gap between Field and Satellite Observations in an Arid Grassland Ecosystem., , , , и . Remote Sensing, 9 (10): 1071 (2017)Arctic Tundra Vegetation Functional Types Based on Photosynthetic Physiology and Optical Properties., , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (2-1): 265-275 (2013)Can Plot-Level Photographs Accurately Estimate Tundra Vegetation Cover in Northern Alaska?, , , , , , , и . Remote. Sens., 15 (8): 1972 (апреля 2023)Image inpainting in micrometeorological analysis., , , и . ICIP, стр. 1725-1728. IEEE, (2012)Which bio-diversity indices are most adequate., , и . FUZZ-IEEE, стр. 1-7. IEEE, (2015)