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 Collections 161 features of total 692 cesarean and 5465 non-cesarean samples which comes

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The Auger@TA Project: Phase II Progress and Plans

The Auger@TA project is a combined effort involving members of both the Pierre Auger Observatory and the Telescope Array experiment (TA) to cross-calibrate detectors and compare results on air showers detected Freezer Handle Mount at one location.We have recently reported results from Phase I of the project, during which we collected and presented

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Operationalising soil security by making soil data useful: Digital soil mapping, assessment and return-on-investment

Farmer decision making about soil constraint management in eastern Australia has not changed greatly since the 1970s and ORG COCONUT NECTAR major yield gaps exist.Limited capital tended to be used for purchase and clearing of native vegetation on new land, rather than improvement of land already cleared.Incentives did not exist for natural capital

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