Multiscale Characterization of Flow Instability for Gas-Liquid Two-Phase Flow. [PDF]
Sun QM, Yu QC, Ba D, Du Y.
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Survival analysis for predicting fitness app user churn. [PDF]
Zakrzewska M +4 more
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TempODEGraphNet: predicting user churn using dynamic social graphs and neural ODEs. [PDF]
Lee M, Woo J.
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Predicting customer loyalty in omnichannel retailing using purchase behavior, socio-cultural factors, and learning techniques. [PDF]
Roosta S, Sadjadi SJ, Makui A.
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Zero knowledge verifiable, semi asynchronous federated learning for trajectory prediction on permissioned blockchain. [PDF]
Raveendra Reddy K, Muralidhar A.
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Sisyphean Task of Cardiovascular Prevention: Real Gains, Unequal Progress. [PDF]
Ziaeian B, Fonarow GC.
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Marketing analytics in banking 4.0: A two-stage explainable AI framework for high-accuracy and well-calibrated predictions. [PDF]
Nasir F +3 more
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Reimagining kidney value-based care: leveraging data science for dynamic, clinician-level risk prediction. [PDF]
Baughman DJ, Nagy P, Parikh CR.
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Finding the needle in the haystack-An interpretable sequential pattern mining method for classification problems. [PDF]
Grote A, Hariharan A, Weinhardt C.
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Predicting repurchase behavior and optimizing marketing for e-commerce users with genetic algorithms and deep learning. [PDF]
Yang S.
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