Heterogeneous platforms composed of multiple different types of computing devices (such
as CPUs, GPUs, and Intel MICs) have been widely used recently. However, most of parallel …

Sequence alignment is a critical computational problem in various domains, including
genomics, proteomics, and natural language processing. The Needleman‐Wunsch (NW) …

In bioinformatics, sequence alignment is very important task to compare and find similarity
between biological sequences. Smith Waterman algorithm is most widely used for alignment …

COVID-19 is a global pandemic that aroused the interest of scientists to prevent it and
design a drug for it. Nowadays, presenting intelligent biological data analysis tools at a low …

An All-to-All Comparison problem is where every element of a data set is compared with
every other element. This is analogous to projective planes and affine planes where every …

Sensor data that is often collected in the Internet of Things (IoT) or any smart city
environment should be protected against security and privacy concerns. Often, sensor data …

Genome sequencing projects are rapidly contributing to the rise of high-dimensional protein
sequence datasets. Extracting features from a high-dimensional protein sequence dataset …

Abstract Multiple Sequence Alignment (MSA) is a fundamental process that involves
aligning a set of sequences based on their identical form and structure through dynamic …

Quaternion moments are widely used in several applications, such as image classification,
object recognition, and multimedia security. The computation of these moments requires a …

Genome sequencing projects are rapidly increasing the number of high-dimensional protein
sequence datasets. Clustering a high-dimensional protein sequence dataset using …