The low potential of agricultural productivity in the majority of central Iran is mainly attributed
to high levels of soil salinity. To increase agricultural productivity, while preventing any …

Insect outbreaks affect forests, causing the deaths of trees and high economic loss. In this
study, we explored the detection of European spruce bark beetle (Ips typographus, L.) …

The curse of dimensionality problem occurs when the data are high-dimensional. It affects
the learning process and reduces the accuracy. Feature selection is one of the …

Objective. The development of radiation-induced fibrosis after stereotactic ablative
radiotherapy (SABR) can obscure follow-up images and delay detection of a local …

When there is a need to make an ultimate decision about the unique features of big data
platforms, one should note that they have configurable parameters. Apache Spark is an …

A data-driven method is presented for improving sampling designs from times series (1D
approach) or spatial arrays (2D approach) of digital information. We present the …

Background Differentiating between solitary spinal metastasis (SSM) and solitary primary
spinal tumor (SPST) is essential for treatment decisions and prognosis. The aim of this study …

In our work, we examine the classification methods where the positive and unlabeled data
are considered and where the conditional distribution of the true class label given the …

The automatic identification of emotions from speech holds significance in facilitating
interactions between humans and machines. To improve the recognition accuracy of speech …

Abstract Information and communication technologies have been fulfilling a highly relevant
role in the different fields of knowledge, addressing problems in various disciplines; there is …