Surrogate modeling has been popularized as an alternative to full-scale models in complex
engineering processes such as manufacturing and computer-assisted engineering. The …

Software defect prediction aims to identify the potential defects of new software modules in
advance by constructing an effective prediction model. However, the model performance is …

Recently unique spans of genetic data are produced by researchers, there is a trend in
genetic exploration using machine learning integrated analysis and virtual combination of …

Network analysis opens new horizons for data analysis methods, as the results of ever-
develo** network science can be integrated into classical data analysis techniques. This …

World widely, cancer is considered a fatal disease and remains the major cause of death.
Conventional medication approaches using therapies and anticancer drugs are deemed …

Land use and Land cover (LULC) map** is one of the most important application areas of
remote sensing which requires both spectral and spatial resolutions in order to decrease the …

ABSTRACT The Hyperspectral Image (HSI) is a great source of information for observing the
earth's elements due to its numerous narrow and continuous spectral wavelength bands …

In the field of data science, there are a variety of datasets that suffer from the high-
dimensional, low-sample-size (HDLSS) problem; however, only a few dimensionality …

Smart farms are integral to agriculture, evolving with technology while increasing energy
consumption. Addressing issues like data scarcity is vital for smart farm-market growth. This …

Edge computing (EC) gets the Internet of Things (IoT)-based face recognition systems out of
trouble caused by limited storage and computing resources of local or mobile terminals …