5 Result(s)
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Article
NestEn_SmVn: boosted nested ensemble multiplexing to diagnose coronary artery disease
Coronary artery disease (CAD) is the most prominent disease that is responsible for increasing mortality and morbidity rate from past few decades. Early and accurate detection of CAD (a type of cardiovascular ...
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Article
Deep-LSTM ensemble framework to forecast Covid-19: an insight to the global pandemic
The pandemic of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is spreading all over the world. Medical health care systems are in urgent need to diagnose this pandemic with the support of new em...
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Article
GBoost: A novel Grading-AdaBoost ensemble approach for automatic identification of erythemato-squamous disease
Ensemble learning is one of the powerful machine learning approaches that is generally used to strengthen models by combining the performances of several weak learners. It holds a great potential for solving u...
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Article
A nested stacking ensemble model for predicting districts with high and low maternal mortality ratio (MMR) in India
The ensemble is an efficacious machine learning framework that combines variety of algorithms for better performance and effective prediction. Over the past few years, numerous researchers proposed wide variet...
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Article
Estimation of critical dimensions for a trapezoidal-shaped steel fin using hybrid differential evolution algorithm
This paper deals with the inverse prediction of parameters in a trapezoidal fin with temperature-dependent thermal conductivity and heat transfer coefficient. Three critical dimensions along with the relevant ...
