Deep neural networks represent, nowadays, the most effective machine learning technology
in biomedical domain. In this domain, the different areas of interest concern the Omics (study …

Manufacturing is undergoing transformation driven by the developments in process
technology, information technology, and data science. A future manufacturing enterprise will …

A capsule is a group of neurons whose activity vector represents the instantiation
parameters of a specific type of entity such as an object or object part. We use the length of …

The plant disease classification based on using digital images is very challenging. In the last
decade, machine learning techniques and plant images classification tools such as deep …

Traffic accidents are usually unique events with unpredictable geographical and temporal
dimensions; thus, accident injury severity level (INJ-SL) analysis presents formidable …

In traffic accident, an accurate and timely severity prediction method is necessary for the
successful deployment of an intelligent transportation system to provide corresponding …

In recent decades, automatic vehicle classification plays a vital role in intelligent
transportation systems and visual traffic surveillance systems. Especially in countries that …

In order to solve the problem of low detection accuracy of small targets in the SSD detection
algorithm, a pipeline magnetic flux leakage image detection algorithm based on multiscale …

Background PRISMA-based literature reviews require meticulous scrutiny of extensive
textual data by multiple reviewers, which is associated with considerable human effort …

Current developments in object tracking and detection techniques have directed remarkable
improvements in distinguishing attacks and adversaries. Nevertheless, adversarial attacks …