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Application of Artificial Neural Networks to Chest Image Classification.

, , , , , and . IWANN, volume 686 of Lecture Notes in Computer Science, page 542-549. Springer, (1993)

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Application of Artificial Neural Networks to Chest Image Classification., , , , , and . IWANN, volume 686 of Lecture Notes in Computer Science, page 542-549. Springer, (1993)Natural Security Games in the Regenerative Economy: A Review., , , , , , and . ISAGA, volume 13219 of Lecture Notes in Computer Science, page 280-287. Springer, (2021)Global Estimation of Surface Soil Moisture Using Neural Networks Trained by In-Situ Measurements and Passive L-Band Telemetry., , , and . IGARSS, page 6996-6999. IEEE, (2021)Preliminary System Studies on a High-Resolution SMOS Follow-On: SMOS-HR., , , , , , , , , and 8 other author(s). IGARSS, page 8451-8454. IEEE, (2019)Connected and Unconnected Synthetic Aperture Imaging Radiometry: A Preliminary Design for SMOS-Next Array., , , , , , and . IGARSS, page 8081-8083. IEEE, (2021)SMOS-HR: A High Resolution L-Band Passive Radiometer for Earth Science and Applications., , , , , , , , , and 12 other author(s). IGARSS, page 8392-8395. IEEE, (2019)L-Band Soil Moisture Retrievals Using Microwave Based Temperature and Filtering. Towards Model-Independent Climate Data Records., , , , , , , and . Remote. Sens., 13 (13): 2480 (2021)SMOS Neural Network Soil Moisture Data Assimilation., , , , , , , and . IGARSS, page 5548-5551. IEEE, (2018)Global retrieval of soil moisture using neural networks trained with synthetic radiometric data., , , , , and . IGARSS, page 1581-1584. IEEE, (2017)SMOS-IC Vegetation Optical Depth Index in Monitoring Aboveground Carbon Changes in the Tropical Continents During 2010-2016., , , , , , , and . IGARSS, page 2825-2828. IEEE, (2018)