EFFICIENT BIG DATA ASSIMILATION THROUGH SPARSE REPRESENTATION: A 3D BENCHMARK CASE STUDY IN PETROLEUM ENGINEERING.

Efficient big data assimilation through sparse representation: A 3D benchmark case study in petroleum engineering.

Data assimilation is an important discipline in geosciences that aims to combine the information contents from both prior geophysical models and observational data (observations) to obtain improved model estimates.Ensemble-based methods are among the state-of-the-art assimilation algorithms in the data assimilation community.When applying ensemble-

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Cognitive Science and Technology Applications in the Rehabilitative Care of Children with Intellectual and Developmental Disabilities

The aim of this study is to investigate the application of cognitive science and technology in the field of intellectual and developmental disabilities.The research design consisted of a systematic review.The PRISMA model will be used to examine research findings regarding the variables of science and cognitive technologies in the rehabilitation of

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