Deep learning models are efficient in learning the features that assist in understanding
complex patterns precisely. This study proposed a computerized process of classifying skin …

Medical information systems such as Internet of Medical Things (IoMT) are gained special
attention over recent years. X-ray and MRI images are important sources of information to be …

The support vector classifier (SVC) is one of the most powerful machine learning algorithms.
This algorithm has been accepted as an effective method in three-dimensional geological …

With the development of vehicle intelligence technology, the combination of network and
vehicle becomes inevitable, which brings much convenience to people. At the same time …

Abstract Back-propagation Neural Network (BPNN) algorithm is one of the most widely used
and a popular technique to optimize the feed forward neural network training. Traditional BP …

Traditional experimental approaches to evaluate the Blood-Brain Barrier (BBB) permeability
of a drug are expensive and time consuming. Hence, several computational models have …

Accurate diagnosis and effective treatment of thyroid conditions, such as hypothyroidism and
hyperthyroidism, are crucial due to their wide-ranging symptoms and consequences …

Deep learning has emerged as a new area of machine learning research. It is an approach
that can learn features and hierarchical representation purely from data and has been …

Scanning images and converting the scanned information into digital format is an active
research area. Scanning is an automated, fast and efficient process as compared to the …

(1) Background: Fetal growth restriction is a relatively common disorder in pregnant patients
with thrombophilia. New artificial intelligence algorithms are a promising option for the …