BASIC STATISTICAL ESTIMATION OUTPERFORMS MACHINE LEARNING IN MONTHLY PREDICTION OF SEASONAL CLIMATIC PARAMETERS

Basic Statistical Estimation Outperforms Machine Learning in Monthly Prediction of Seasonal Climatic Parameters

Machine learning (ML) has been utilized to predict climatic parameters, and many successes have been reported in the literature.In this paper, we scrutinize the effectiveness of five widely used ML algorithms in the monthly prediction of seasonal climatic parameters using monthly image data.Specifically, we quantify the predictive performance of th

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An Efficient Numerical Model for the Evaluation of the Productivity Considering Depletion-Induced Plastic Behaviors in Weakly Consolidated Reservoirs

Efficient and accurate modeling of rock deformation and well production in weakly consolidated reservoirs requires reliable and accurate reservoir modeling techniques.During hydrocarbon production, the reservoir pressure is dropped, and rock compaction is induced.In such depletion-induced reservoir rock deformation, both elastic and plastic deforma

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