Brain tumor classification is a very important and the most prominent step for assessing life‐
threatening abnormal tissues and providing an efficient treatment in patient recovery. To …

The field of machine learning has proven to be a powerful approach in smart manufacturing
and processing in the chemical and process industries. This review provides a systematic …

During the current post-epidemic period, hygiene requirements and health needs in the
hospitality industry keep increasing, and consumers become more concerned about the …

The automatic scoring of English composition is an inevitable trend of the rapid development
of computer technology and artificial intelligence technology. This makes the research on …

In this study, we aimed to facilitate the current diagnostic assessment of glaucoma by
analyzing multiple features and introducing a new cross-sectional optic nerve head (ONH) …

During the last years, many research efforts have been devoted to the definition of Fall
Detection Systems (FDSs) that benefit from the inherent computing, communication and …

This paper represents the efficiency of machine learning tool, ie, artificial neural network
(ANN), for the prediction of functional properties of nano titanium dioxide coated cotton …

MRI image segmentation is widely used in clinical practice as a prerequisite and a key for
diagnosing brain tumors. The quest for an accurate automated segmentation method for …

Artificial intelligence techniques have been used in the industry to control complex systems;
among these proposals, adaptive Proportional, Integrative, Derivative (PID) controllers are …

Feeding the growing world population is a scientific and economic challenge. The target
variables to be optimised are the yield that can be produced on a given area and the …