Learning curves provide insight into the dependence of a learner's generalization
performance on the training set size. This important tool can be used for model selection, to …

Deep learning (DL) approaches to medical image analysis tasks have recently become
popular; however, they suffer from a lack of human interpretability critical for both increasing …

A wafer map contains a graphical representation of the locations about defect pattern on the
semiconductor wafer, which can provide useful information for quality engineers. Various …

This paper proposes a methodology to detect early signs of Parkinson's disease (PD)
through free-speech in uncontrolled background conditions. The early detection mechanism …

Microbial and mammalian cells are widely used in the food, pharmaceutical, and medical
industries. Developing or optimizing culture media is essential to improve cell culture …

Artificial intelligence (AI) and machine learning (ML) are increasingly used in radiology
research to deal with large and complex imaging data sets. Nowadays, ML tools have …

Core Ideas Sample size is the major driving factor of prediction accuracy of soil carbon. The
prediction accuracy increases at a decreasing rate with increasing sample sizes. Larger …

This paper presents a novel framework for intrusion detection specially designed for
cyberattacks, such as Denial-of-Service, Distributed Denial-of-Service, Distributed Reflection …

Background Acute kidney injury (AKI) is a serve and harmful syndrome in the intensive care
unit. Comparing to the patients with AKI stage 1/2, the patients with AKI stage 3 have higher …

An early warning flood forecasting system that uses machine-learning models can be
utilized for saving lives from floods, which are now exacerbated due to climate change …