Discovery and development of biopeptides are time‐consuming, laborious, and dependent
on various factors. Data‐driven computational methods, especially machine learning (ML) …

Antimicrobial peptides (AMPs) are a diverse class of well-studied membrane-permeating
peptides with important functions in innate host defense. In this short review, we provide a …

In general, pneumonia affects children under 5 years and adults over 65 years of age which
targets the lungs and fills the alveoli (air sacs) with liquid. In this paper, we employ …

Student attendance is essential in the learning process. To record student attendance,
several ways can be done; one of them is through student signatures. The process has …

A new method for Modular Neural Network optimization based on a Multi-objective
Hierarchical Genetic Algorithm is proposed in this paper. The modular neural network using …

Face is a complex multidimensional visual model and develo** a computational model for
face recognition is difficult. The paper presents a methodology for face recognition based on …

Face recognition has gained a significant position among most commonly used applications
of image processing furthermore availability of viable technologies in this field have …

Face recognition has become more significant and relevant in recent years owing to it
potential applications. Since the faces are highly dynamic and pose more issues and …

The face is the identity of a person. The methods to exploit this physical feature have seen a
great change since the advent of image processing techniques. The attendance is taken in …

Style transfer has been well studied in recent years with excellent performance processed.
While existing methods usually choose CNNs as the powerful tool to accomplish superb …