The increasing demand for Android mobile devices and blockchain has motivated malware
creators to develop mobile malware to compromise the blockchain. Although the blockchain …

Sperm Morphology is the key step in the assessment of sperm quality. Due to the effect of
misleading human factors in manual assessments, computer-based techniques should be …

Purpose Customer churn prediction is one of the most well-known approaches to manage
and improve customer retention. Machine learning techniques, especially classification …

Machine learning algorithms play an important role in the detection of toxic, flammable and
explosive gases, and they are extremely important for the study of mixed gas classification …

Automatic data processing represents the future for the development of any system,
especially in scientific research. In this paper, we describe one of the automatic classification …

Efficient hashing techniques have attracted extensive research interests in both storage and
retrieval of high-dimensional data, such as images and videos. In existing hashing methods …

Concept drift is prevalent in non-stationary data environments but is rarely researched in
image retrieval. Therefore, more research is needed on image retrieval in non-stationary …

In classification tasks, unlabeled data bring the uncertainty in the learning process, which
may result in the degradation of the performance. In this paper, we propose a novel semi …

Optical fiber pre-warning systems (OFPS) based on Φ-OTDR are applied to many different
scenarios such as oil and gas pipeline protection. The recognition of fiber vibration signals is …

An attractive method for image retrieval is binary hashing, which aims to reduce the
dimensionality and generate similarity-preserving binary codes. To map the high …