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 …

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 …

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 …

In general, most of the existing convolutional neural network (CNN)-based deep-learning
models suffer from spatial-information loss and inadequate feature-representation issues …

The use of Augmented Reality (AR) to achieve educational inclusion has been not deeply
explored. This systematic review describes the current state of using AR as an educational …

Background: Technology has multiple potential applications to dementia from diagnosis and
assessment to care delivery and supporting ageing in place. Objectives: To summarise key …

Social media have become a common way for people to express their personal viewpoints,
including sentiments about health topics. We present the results of an opinion mining …

Information about limb movements can be used for monitoring physical activities or for
human-machine-interface applications. In recent years, a technique called Force Myography …

Accelerating the drug discovery process requires predictive computational protocols
capable of reducing or simplifying the synthetic and/or combinatorial challenge. Docking …