The success of construction projects is a fundamental issue for most governments, users
and communities. In the literature that deals with construction project success and causes of …

Advancements in genome sequencing technologies have significantly increased the
availability of genomic data. The use of machine learning models to predict the …

The reduction of crop yield losses caused by pests is a major challenge to productive and
sustainable food production for preventing food insecurity and emergencies, and for …

Eliminating the negative effect of adverse environmental noise has been an intriguing and
challenging task for speech technology. Neural networks (NNs)-based denoising techniques …

Artificial Neural Networks (ANNs) play an important role in the field of medical science in
solving health problems and diagnosing diseases both in critical illnesses and in common …

Rapid advancements in genome sequencing have led to the collection of vast amounts of
genomics data. Researchers may be interested in using machine learning models on such …

The competition between sellers of e-commerce in Indonesia are getting more intense. One
of the ways for the sellers to stay competing in the industry is by managing their product …

The accuracy-transparency trade-off is one of the most notable challenges when applying
machine learning tools in the medical domain. Nefclass is a popular neuro-fuzzy classifier in …

This paper presents a model for treatment of skewness effect on accuracy of the Nefclass
classifier by changing embedded discretization method within the classifier. Nefclass is a …

Nefclass is a common example of the construction of a neuro-fuzzy system. The popular
Nefclass classifier exhibits surprising behaviour when the feature values of the training and …