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Russification and Russianization in Modern Historiography: Recent Developments and Future Directions
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Perceptions of Biosimilars Among Healthcare Providers in Saudi Arabia
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324
Spatiotemporal Traffic Flow Prediction with KNN and LSTM
Published 2019-01-01“…The prediction performance is evaluated with real-time traffic flow data provided by the Transportation Research Data Lab (TDRL) at the University of Minnesota Duluth (UMD) Data Center. Experimental results indicate that the proposed model can achieve a better performance compared with well-known prediction models including autoregressive integrated moving average (ARIMA), support vector regression (SVR), wavelet neural network (WNN), deep belief networks combined with support vector regression (DBN-SVR), and LSTM models, and the proposed model can achieve on average 12.59% accuracy improvement.…”
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DNA promoter task-oriented dictionary mining and prediction model based on natural language technology
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Evaluating the ability of large language models to emulate personality
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Management of Delayed Onset Postoperative Hemorrhage after Anastomotic Urethroplasty
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Oral Verruciform Xanthoma within Lichen Planus: A Case Report and Literature Review
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Choosing the Right Visual for Social Media: Comparing the Engagement of Stock Photos Versus Natural Photos
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Russification and Russianization in Modern Historiography: Recent Developments and Future Directions
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Examining funders’ roles in responsible research and innovation of medical neurotechnology
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Practice Patterns for N-acetylcysteine Dosing for Acetaminophen Toxicity in the United States
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