Osteoporosis and its clinical consequence, bone fracture, is a multifactorial disease that has
been the object of extensive research. Recent advances in machine learning (ML) have …

The search for powerful optimizers has led to the development of a multitude of
metaheuristic algorithms inspired from all areas. This work focuses on the animal kingdom …

Feature selection (FS) is considered to be a hard optimization problem in data mining and
some artificial intelligence fields. It is a process where rather than studying all of the features …

The evolution of intelligent and data‐driven systems has pushed for the tectonic transition
from ancient medication to human‐centric Healthcare 4.0. The rise of Internet of Things …

In silico design of single guide RNA (sgRNA) plays a critical role in clustered regularly
interspaced, short palindromic repeats/CRISPR-associated protein 9 (CRISPR/Cas9) …

Soil texture and particle size fractions (PSFs) are a critical characteristic of soil that
influences most physical, chemical, and biological properties of soil; furthermore, reliable …

There are several meta-heuristic optimization algorithms developed on inspiration from
nature. Artificial neural network proves to be efficient among other machine learning …

Many optimization problems have become increasingly complex, which promotes
researches on the improvement of different optimization algorithms. The monarch butterfly …

Feature selection (FS) is used to solve hard optimization problems in artificial intelligence
and data mining. In the FS process, some, rather than all of the features of a dataset are …

CRISPR/Cas9 is a preferred genome editing tool and has been widely adapted to ranges of
disciplines, from molecular biology to gene therapy. A key prerequisite for the success of …