This paper explores the potential of generative AI in enhancing cybersecurity practices,
focusing on its ability to analyze large datasets, automate routine tasks, and predict …

The purpose of this work is to compare the ways in which relational databases—more
especially, Microsoft SQL Server—and non-relational databases—MongoDB—handle …

Advancement of unparalleled data in bioinformatics over the years is a major concern for
storage and management. Such massive data must be handled efficiently to disseminate …

While the adoption of next generation sequencing has rapidly expanded, the informatics
infrastructure used to manage the data generated by this technology has not kept pace …

The era of big data has emerged. The volume of generated data has never been greater.
Massive quantities of data are stored on a huge number of servers that are inter-connected …

The current air quality monitoring system cannot cover a large area, not real-time and has
not implemented big data analysis technology with high accuracy. The purpose of an …

Is it possible to convert highly specialized research in the field of computational
spectroscopy into robust and user-friendly aids to experiments and industrial applications …

Computer science solutions for molecular biology problems are often presented in the form
of workflows. There is a set of activities performed by different processing entities through …

Database systems play a central role in modern data-centered applications. Their
performance is thus a key factor in the efficiency of data processing pipelines. Modern …

Scientific workflows can be understood as arrangements of managed activities executed by
different processing entities. It is a regular Bioinformatics approach applying workflows to …