Emerging technologies such as computer vision and Artificial Intelligence (AI) are estimated
to leverage the accessibility of big data for active training and yielding operational real time …

Objective The aim of this study was to evaluate the correlations between T2 value, T2* value,
and histological grades of degenerated human articular cartilage. Materials and methods …

Magnetic resonance (MR) imaging plays a highly important role in radiotherapy treatment
planning for the segmentation of tumor volumes and organs. However, the use of MR is limited…

Real-time detection of fire flame in video scenes from a surveillance camera offers early
warning to ensure prompt reaction to devastating fire hazards. Many existing fire detection …

Nitrogen-doped multiwalled carbon nanotubes (N-MWCNTs) have been used to fabricate
nanostructured materials for various energy devices, such as supercapacitors, sensors, …

Online action detection in surveillance scenarios presents considerable challenges, particularly
due to the dynamically changing environments and real-time processing requirements. …

Composite material based supercapacitors have attracted interest as promising green and
efficient candidates in energy storage application. In the present work, the copper oxide/…

Ever since introduction of automated fingerprint recognition in law enforcement in the 1970s
it has been utilized in applications ranging from personal authentication to civilian border …

This work describes the development of a vision-based tactile sensor system that utilizes
the image-based information of the tactile sensor in conjunction with input loads at various …

Developing a self-driving system is a challenging task that requires a high level of scene
comprehension with real-time inference, and it is safety-critical. This study proposes a real-time …