In mining or construction projects, for exploitation of hard rock with high strength properties,
blasting is frequently applied to breaking or moving them using high explosive energy …

Imbalanced data is an important problem for medical data analysis. Medical datasets are
often not balanced in their class labels. The traditional classifiers can be seriously affected …

Microarrays are applications of electrical engineering and technology in biology that allow
simultaneous measurement of expression of numerous genes, and they can be used to …

It is widely known that the decisions being made concern objects representing a set of
characteristics whose importance is unique for every decision-maker. However, including …

The COVID-19 virus had easily affected people worldwide through direct contact. Individuals
diagnosed with positive COVID-19 virus may be affected with many symptoms, such as …

The data generated by medical equipment is huge and humongous in size loaded with
valuable information. This data set requires an effective classification for accurate prediction …

Two important performance indicators for data mining algorithms are accuracy of
classification/prediction and time taken for training. These indicators are useful for selecting …

Sunscald in kiwifruit, an environmental stress caused by solar radiation during the summer,
reduces fruit quality and yields and causes economic losses. The efficient and timely …

ABSTRACT Connected Vehicles (CVs) could enhance traffic management systems by
providing detailed and real-time information. Theoretically, such information can be …

For the data classification task back propagation (BP) is the most common used model to
trained artificial neural network (ANN). Various parameters were used to enhance the …