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 rock cliff reservoir 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 wh

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Laboratory Investigation of Geobag Revetment Performance in Rivers

Geobag (sand-filled geotextile bags) revetments have recently emerged as long-term riverbank protection measures in developing rock cliff reservoir countries; however, their performance is still not well understood.The hydraulic stability of geobag revetments used for riverbank protection has been studied within an extensive laboratory programme to

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How displaced migratory birds could use volatile atmospheric compounds to find their migratory corridor? A test using a particle dispersion model.

Olfaction represents an important sensory modality for navigation of game of thrones jon snow poster both homing pigeons and wild birds.Experimental evidence in homing pigeons showed that airborne volatile compounds carried by the winds at the home area are learned in association with wind directions.When displaced, pigeons obtain information on th

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