Infinite numbers of real-world applications use Machine Learning (ML) techniques to
develop potentially the best data available for the users. Transfer learning (TL), one of the …

Cancer is a term that denotes a group of diseases caused by the abnormal growth of cells
that can spread in different parts of the body. According to the World Health Organization …

With the rapid growth in the amount of video data, efficient video indexing and retrieval
methods have become one of the most critical challenges in multimedia management. For …

In Populus, drought is a major problem affecting plant growth and development which can
be closely reflected by corresponding transcriptomic changes. Nevertheless, how these …

In the last decade, transcriptome research adopting next-generation sequencing (NGS)
technologies has gathered incredible momentum amongst functional genomics scientists …

In recent malaria research, the complexity of the disease has been explored using machine
learning models via blood smear images, environmental, and even RNA-Seq data …

The surfaces produced by the machining process are sensitive to the type of machining
process and the conditions under which it is performed. Thus, surface texture identification is …

Early disease detection using microarray data is vital for prompt and efficient treatment.
However, the intricate nature of these data and the ongoing need for more precise …

The ever-growing number of methods for the generation of synthetic bulk and single cell
RNA-seq data have multiple and diverse applications. They are often aimed at …

Recent progress in gene expression data research makes it possible to quantify and identify
several thousand genes' expressions simultaneously. For malaria infection and …