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Constructing RBAC Based Security Model in u-Healthcare Service Platform
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Ileocaecal Tuberculosis Presenting with Massive Hematochezia: A Rare Clinical Manifestation
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Drone-View Haze Removal via Regional Saturation-Value Translation and Soft Segmentation
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Durability and environmental evaluation of rice husk ash sustainable concrete containing carbon nanotubes
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Traumatic Lumbosacral Dislocation: Current Concepts in Diagnosis and Management
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Sex Differences in Parent and Child Pain Ratings during an Experimental Child Pain Task
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Porphyromonas gulae and canine periodontal disease: Current understanding and future directions
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Regional Ionospheric Parameter Estimation by Assimilating the LSTM Trained Results Into the SAMI2 Model
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Potential of Regional Ionosphere Prediction Using a Long Short‐Term Memory Deep‐Learning Algorithm Specialized for Geomagnetic Storm Period
Published 2021-09-01“…Abstract In our previous study (Moon et al., 2020, https://doi.org/10.3938/jkps.77.1265), we developed a long short‐term memory (LSTM) deep‐learning model for geomagnetic quiet days (LSTM‐quiet) to perform effective long‐term predictions for the regional ionosphere. …”
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