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17 hours ago · This study systematically reviews the existing literature to evaluate the performance of machine learning ... machine learning regression, forecasting and ...
21 hours ago · Abstract. Deep learning models possess the capacity to accurately forecast various hydrological variables, encompassing flow, temperature, and runoff, notably ...
21 hours ago · [12] proposed a deep learning model that fuses time series, text, and meta-features. Experimental results show that the multi-feature fusion approach can ...
16 hours ago · In this work, we explore these data analysis challenges using two real-world datasets (mBrain21 and ETRI lifelog2020). We introduce practical countermeasures, ...
7 hours ago · Courses taken for the concentration and senior work allow students to go deeper into a topic and develop their skills in interpretation and constructive ...
19 hours ago · Bayesian modeling choices play an important role in the context of forecasting and decision support through statistical learning applied to costly or rare data.
11 hours ago · Global macroeconomic time series content, historical coverage including ... Trend forecasting, analysis and research service providing creative and ...
4 hours ago · A Multilevel Interrupted Time Series analysis of diet, physical activity and sleep changes among young adults starting work for the first time. Oxenham ...
8 hours ago · Network of Practicing Monitoring and Evaluation officers in the field of public health. A forum of practical discuss and effective management of project...
23 hours ago · In this review, we examine the current literature on ... Survival outcome prediction in cervical cancer: Cox models versus deep-learning model.