With the rapid development of biotechnology, the number of biological sequences has
grown exponentially. The continuous expansion of biological sequence data promotes the …

Studying the pathways of ligand–receptor binding is essential to understand the mechanism
of target recognition by small molecules. The binding free energy and kinetics of protein …

Background Although software tools abound for the comparison, analysis, identification, and
classification of genomic sequences, taxonomic classification remains challenging due to …

Models based on neural networks and machine learning are seeing a rise in popularity in
space physics. In particular, the forecasting of geomagnetic indices with neural network …

Testing plays an essential role in ensuring the safety and quality of cyberphysical systems
(CPSs). One of the main challenges in automated and software-in-the-loop simulation …

Accurate forecasting of the solar wind has grown in importance as society becomes
increasingly dependent on technology susceptible to space weather events. This work …

This paper presents a new approach for breast cancer classification using time series
analysis. In particular, the region of interest (ROI) in mammogram images is classified as …

Dynamic time warping (DTW) is the most widely used method to evaluate the similarity
between time series. However, the DTW distance only takes into account the difference in …

We developed a simple linear stochastic model for Dalbulus maidis dependent exclusively
on temperature, whose parameters were determined from published field and laboratory …

Sequences similarity analysis is one of the major topics in bioinformatics. It helps
researchers to reveal evolution relationships of different species. In this paper, we outline a …