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Consideration of Wind Speed Variability in Creating a Regional Aggregate Wind Power Time Series

, , , and . Resources, 3 (1): 215--234 (Feb 27, 2014)
DOI: 10.3390/resources3010215

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Consideration of Wind Speed Variability in Creating a Regional Aggregate Wind Power Time Series, , , and . Resources, 3 (1): 215--234 (Feb 27, 2014)Change descriptors for determining nodule malignancy in national lung screening trial CT screening images., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 9785 of SPIE Proceedings, page 978535. SPIE, (2016)Lung CT Radiomics: An Overview of Using Images as Data.. University of South Florida, Tampa, USA, (2017)base-search.net (ftunisfloridatam:oai:digitalcommons.usf.edu:etd-8229).Improving malignancy prediction through feature selection informed by nodule size ranges in NLST., , , , , , and . SMC, page 1939-1944. IEEE, (2016)A Comprehensive Review of Deep Learning-Based Methods for COVID-19 Detection Using Chest X-Ray Images., , , , and . IEEE Access, (2022)A Robust Approach for Automated Lung Segmentation in Thoracic CT., , , , , , , , and . SMC, page 2267-2272. IEEE, (2015)Combining deep neural network and traditional image features to improve survival prediction accuracy for lung cancer patients from diagnostic CT., , , , and . SMC, page 2570-2575. IEEE, (2016)