Forecasting drought and determining relevant data to predict drought are an important topic
for decision-makers and planners. It is critical to predicting drought in the south of Fars …

Feature selection is an important preprocessing task in classification that eliminates the
irrelevant, redundant, and noisy features. Improving the performance of model, decreasing …

This paper focus on a neural network classification model to estimate the association among
gender, race, BMI, age, smoking, kidney disease and diabetes in hypertensive patients. It …

Microarray data play a huge role in recognizing a proper cancer diagnosis and
classification. In most microarray data set consist of thousands of genes, but the majority …

Software metrics are widely-used indicators of software quality and several studies have
shown that such metrics can be used to estimate the presence of vulnerabilities in the code …

This research presents a prediction model to evaluate the association between gender,
race, BMI, age, smoking, kidney disease and diabetes using logistic regression. Data …

Background The demand for effective use of water resources has increased because of
ongoing global climate transformations in the agriculture science sector. Cost-effective and …

Medical images contain the Region of Interest (ROI) from the affected area in human body
and provide useful information to support clinical decision-making for diagnostics as well as …

Metal Oxide sensors, thanks to their low cost, small size and wide recovery, are increasingly
used in various industrial applications for the detection of gases and gas mixtures. However …

Considering the ongoing climate transformations, the appropriate and reliable phenotyping
information of plant leaves is quite significant for early detection of disease, yield …