Abstract: Currently, deep learning algorithms are widely used in automatic classification and detection problems in the biomedical field. Implementing these algorithms on digital platforms presents ...

Abstract: Machine learning (ML) algorithms take help of different activation functions to calculate probabilities for classification problem. Over the past few years researchers are trying to ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

Activation functions are fundamental to the representational power of deep neural networks, introducing non-linearity that enables the modelling of complex patterns beyond linear relationships. Early ...

ABSTRACT: Delirium is a common yet critical condition among Intensive Care Unit (ICU) patients, characterized by acute cognitive disturbances that can lead to severe complications, prolonged hospital ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...