Due to sharp increases in data dimensions, working on every data mining or machine
learning (ML) task requires more efficient techniques to get the desired results. Therefore, in …

Whether you deal with a real-life issue or create a software product, optimization is
constantly the ultimate goal. This goal, however, is achieved by utilizing one of the …

Machine Learning is a significant technique to realize Artificial Intelligence. The Random
Forest Algorithm can be considered as one of the Machine Learning's representative …

Machine learning and data mining have established several effective applications in gene
selection analysis. This paper review semi-supervised learning algorithms and gene …

The increase in the data available attracted the concern of clustering approaches to
integrate them coherently and to identify patterns for big data. Hence, Meta-Heuristic …

This paper proposes a watermarking method for grayscale images, in which lifting wavelet
transform and singular value decomposition are exploited based on multi-objective artificial …

The most prevalent cancer amongst women is woman breast cancer. Ultrasound imaging is
a widely employed method for identifying and diagnosing breast abnormalities. Computer …

With the increasing concern about data privacy and data explosion, some encrypted and
compressed key-value (KV) stores have been proposed. A remarkable way to combine …

Microarray data plays a major role in diagnosing and treating cancer. In several microarray
data sets, many gene fragments are not associated with the target diseases. A solution to the …

Information security and confidentiality are the prime concern of any type of communication.
Rapidly evolution of technology recently, leads to increase the intruder's ability and a main …