In pharmaceutical research and development, pursuing novel therapeutics and optimizing
existing drugs have been revolutionized by the fusion of cutting-edge technologies and …

Speech signal processing is a cornerstone of modern communication technologies, tasked
with improving the clarity and comprehensibility of audio data in noisy environments. The …

The increasing demand for credit applications to banks has motivated the banking world to
switch to more sophisticated techniques for analyzing the level of credit risk. One technique …

Classification is a technique in data mining that is used to predict the value of a categorical
variable and to produce input data and datasets of varying values. The classification …

There are lots of biochemical reactions in the biosynthetic pathway without associated
enzymes. Reactions predicted by retro-biosynthetic tools are not assigned gene sequences …

Presently, machine learning (ML) techniques have gained considerable attention, with
growing interest in various areas and applications. Healthcare, agriculture, and …

Deoxyribonucleic acid (DNA) motif finding (discovery/mining) in biological chains is the most
recent challenging and interesting trend in bioinformatics. It represents a crucial phase in …

Artificial Intelligence (AI) techniques have gained considerable attention, with growing
interest in various areas and applications. The backbone of an AI-based application is its …

Accepted: 01 Jun. 2024 Protein analysis has been completely transformed by the swift
growth of bioinformatics, which has improved protein structure prediction, simulated …

In the realm of data mining and medical diagnostics, the integration of the Apriori algorithm
with data mining classification techniques is a promising approach aimed at improving the …