Machine learning has shown utility in detecting patterns within large, unstructured, and
complex datasets. One of the promising applications of machine learning is in precision …

Collective behavior provides a framework for understanding how the actions and properties
of groups emerge from the way individuals generate and share information. In humans …

Simple Summary In this research, we addressed the challenging task of brain tumor
detection in MRI scans using a large collection of brain tumor images. We demonstrated that …

The rapid advancements in machine learning, graphics processing technologies and the
availability of medical imaging data have led to a rapid increase in the use of deep learning …

On global scale, the current situation of pandemic is symptomatic of increased incidences of
contagious diseases caused by pathogens. The faster spread of these diseases, in a …

This study aimed to produce a robust real-time pear fruit counter for mobile applications
using only RGB data, the variants of the state-of-the-art object detection model YOLOv4, and …

Deep learning has huge potential for accurate disease prediction with neuroimaging data,
but the prediction performance is often limited by training-dataset size and computing …

It is important to detect breast cancer as early as possible. In this manuscript, a new
methodology for classifying breast cancer using deep learning and some segmentation …

Background Overweight and obesity have now reached a state of a pandemic despite the
clinical and commercial programs available. Artificial intelligence (AI) chatbots have a strong …

During the COVID-19 crisis, customers' preference in having food delivered to their doorstep
instead of waiting in a restaurant has propelled the growth of food delivery services (FDSs) …