CESAREAN SECTION CLASSIFICATION USING MACHINE LEARNING WITH FEATURE SELECTION, DATA BALANCING, AND EXPLAINABILITY

Cesarean Section Classification Using Machine Learning With Feature Selection, Data Balancing, and Explainability

Disease samples are naturally fewer than healthy samples which introduces bias in the training of machine learning (ML) models.Current study focuses in learning discriminating patterns between cesarean and non-cesarean phenomena based on a dataset consisting of 161 features of total 692 cesarean and 5465 non-cesarean samples which comes as four fol

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Thermodynamic second law analysis of magneto-micropolar fluid flow past nonlinear porous media with non-uniform heat source

This study analyzes the second law of thermodynamic for entropy generation in an irreversible hydromagneto-micropolar flow system with non-homogenous heat generation.The non-symmetric microstructure fluid flow past a stretching sheet with saturated porous non-linear media under magnetic field influence.Ignoring the fluid particle TRUFFLES deformati

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Dynamic trans interactions in yeast chromosomes.

Three-dimensional organization of the genome is important for regulation of gene expression and maintenance of genomic stability.It also defines, and is defined by, contacts between different chromosomal loci.Interactions between loci positioned on different chromosomes, i.e."trans" interactions are one type of such contacts.Here, we describe a cas

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