Accurate runoff estimation is crucial for optimal reservoir operation and irrigation purposes.
In this study, a novel hybrid method is proposed for monthly runoff prediction in Mangla …

The intensive care unit (ICU) admits the most seriously ill patients requiring extensive
monitoring. Early ICU mortality prediction is crucial for identifying patients who are at great …

The electroencephalogram (EEG) has been commonly used to identify epileptic seizures,
but identification of seizures from EEG remains a challenging task that requires qualified …

This work dissects the application of big data and artificial intelligence (AI) technology in
environmental protection monitoring. The application principle of big data in environmental …

Robust and rabid mortality prediction is crucial in intensive care units because it is
considered one of the critical steps for treating patients with serious conditions. Combining …

Abstract Extreme Learning Machine (ELM) is widely known to train feed forward network
with high speed and good generalization performance. The only problem associated with …

The application of artificial neural network (ANN) models in magnetorheological (MR)
damper has gained interest in various studies because of the high accuracy in predicting the …

In hospitals, caregivers are trained to chronicle the subtle changes in the clinical conditions
of a patient at regular intervals, for enabling decision-making. Caregivers' text-based clinical …

Chronic renal failure (CRF) is a symptom of kidney damage in the terminal stages. If a
patient is not treated, then CRF will progress to uremia, which greatly reduces the lifespan of …

In order to increase the accuracy and robustness of the calibration model, a feature selection
method MIC-SPA (maximal information coefficient-successive projections algorithm) …