Objectives Delays in cancer diagnosis for patients with non-specific symptoms (NSSs) lead to poorer outcomes. Rapid ...

An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Abstract: Strength system optimization is a challenging trouble, because it entails a couple of objectives, constraints, records, and variables. Historically, linear regression fashions including ...

NTT Research, Inc. and NTT R&D, divisions of NTT (TYO:9432), and NTT DATA, Inc. announced that NTT scientists and researchers have contributed to fifteen presentations at this year’s Conference on ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Abstract: In this article, the robust state estimation for discrete-time systems subject to non-Gaussian process and measurement noises (PMNs) is considered. Employing the ability of mixture ...

Their study presents a new combination of computational tools that merges the Chinese Pangolin Optimizer (CPO) with the ...