Recently, a new paradigm of building general-purpose language models (eg, Google's Bert
and OpenAI's GPT-2) in Natural Language Processing (NLP) for text feature extraction, a …

Genomic sequence processing has been an active area of research for the past two
decades and has increasingly attracted the attention of digital signal processing researchers …

Background Detection of splice sites plays a key role for predicting the gene structure and
thus development of efficient analytical methods for splice site prediction is vital. This paper …

Splice sites prediction and interpretation are crucial to the understanding of complicated
mechanisms underlying gene transcriptional regulation. Although existing computational …

Background Identification of splice sites is essential for annotation of genes. Though existing
approaches have achieved an acceptable level of accuracy, still there is a need for further …

We present a novel classification method for splice sites prediction using support vector
machine (SVM). The method first represents input sequences by sequence-based features …

Background The huge quantity of data produced in Biomedical research needs
sophisticated algorithmic methodologies for its storage, analysis, and processing. High …

We present MaWi-a smart phone based scalable indoor localization system. Central to
MaWi is a novel framework combining two self-contained but complementary localization …

Background Most of the approaches for splice site prediction are based on machine learning
techniques. Though, these approaches provide high prediction accuracy, the window …

The Human Genome Project has generated a large amount of sequence data. A number of
works are currently concerned with analyzing these data. One of the analyses carried out is …