The pandemic caused by COVID-19 impacted the entire world, but technological progress
led to the appearance of new and innovative emerging technologies (ETs). These …

Seismic activity prediction has been a challenging research domain: in this regard, accurate
prediction using historical data is an intricate task. Numerous machine learning and …

The integration of computational intelligence and augmented reality has become
increasingly prevalent in dental practices. Three-dimensional (3D) printing techniques have …

Motion pattern analysis uses a variety of methods to recognise physical activities recorded
by wearable sensors, video-cameras, and global navigation satellite systems. This paper …

With the research of machine learning technology and big data intelligent processing
technology in engineering application becoming more and more mature, people gradually …

Medical image segmentation is crucial for deep learning (DL) applications in clinical
settings. Ensuring accurate segmentation is challenging due to diverse image sources and …

Speeding up and improving the diagnosis process exactly where and when events occur is
the goal of actual point of care (PoC) diagnostics. Besides progress in sensing technologies …

Computer simulations are used to assess the impact of thermal insulation on the transfer of
heat and moisture in the exterior walls of residential buildings. The effects of internal and …

The recognition of stomatological disorders and the classification of dental caries are
important areas of biomedicine that can hugely benefit from machine learning tools for the …

Physics and engineering combine various subjects and disciplines into one single umbrella.
Technology and computer engineers working in electronic instrumentation aim at making …