Deoxyribonucleic acid (DNA) is a biological macromolecule. Its main function is information
storage. At present, the advancement of sequencing technology had caused DNA sequence …

The re-kindled fascination in machine learning (ML), observed over the last few decades,
has also percolated into natural sciences and engineering. ML algorithms are now used in …

In a general computational context for biomedical data analysis, DNA sequence
classification is a crucial challenge. Several machine learning techniques have used to …

Ransomware, a malware designed to encrypt data for ransom payments, is a potential threat
to fog layer nodes as such nodes typically contain considerably amount of sensitive data …

Machine learning algorithms are becoming very efficient in intrusion detection systems with
their real time response and adaptive learning process. A robust machine learning model …

Training a deep neural network with a large number of parameters often leads to overfitting
problem. Recently, Dropout has been introduced as a simple, yet effective regularization …

Motivation During the last decade, improvements in high-throughput sequencing have
generated a wealth of genomic data. Functionally interpreting these sequences and finding …

In this paper, deep learning is coupled with explainable artificial intelligence techniques for
the discovery of representative genomic sequences in SARS-CoV-2. A convolutional neural …

Abstract Motivation Transposable elements (TEs) classification is an essential step to
decode their roles in genome evolution. With a large number of genomes from non-model …

Since the rapid onset of the COVID‐19 or SARS‐CoV‐2 pandemic in the world in 2019,
extensive studies have been conducted to unveil the behavior and emission pattern of the …