Conformable electronics are regarded as the next generation of personal healthcare
monitoring and remote diagnosis devices. In recent years, piezoelectric‐based conformable …

Convolutional neural network (CNN) has shown dissuasive accomplishment on different
areas especially Object Detection, Segmentation, Reconstruction (2D and 3D), Information …

As healthcare systems around the world face challenges such as escalating costs, limited
access, and growing demand for personalized care, artificial intelligence (AI) is emerging as …

Online fault detection in industrial machinery, such as induction motors or their components
(eg, bearings), continues to be a priority. Most commercial equipment provides general …

Emerging communication technologies, such as 5G and beyond, have introduced diverse
requirements that demand high performance and energy efficiency at all levels …

The healthcare industry is a part of contemporary civilization that deals with a significant
volume of confidential information. The integration of an increased number of digital systems …

Semantic segmentation and classification are pivotal in many clinical applications, such as
radiation dose quantification and surgery planning. While manually labeling images is …

In computed tomography imaging, the computationally intensive tasks are the pre-
processing of 2D detector data to generate total attenuation or line integral projections and …

Medical imaging plays a pivotal role in diagnostic medicine with technologies like Magnetic
Resonance Imagining (MRI), Computed Tomography (CT), Positron Emission Tomography …

Computational requirements for data processing at different stages of the radiology value
chain are increasing. Cone beam computed tomography (CBCT) is a diagnostic imaging …