Abstract Background Every year, around 1.5 million women worldwide receive a breast
cancer diagnosis, which is why the mortality rate for women is rising. Scientists have …

Due to its fantastic performance in the quality of the images created, Generator Adversarial
Networks have recently become a viable option for image reconstruction. The main problem …

Real-world deployment of Automatic Target Recognition (ATR) in Synthetic Aperture Radar
(SAR) often faces challenges due to the computational demands of Convolutional Neural …

The rapid development of technology requires several technological fields to keep pace to
increase work effectiveness and efficiency. One focus that is widely used is image …

This paper introduces a parallel architecture designed for real-time image processing
applications, utilizing a combination of digital signal processor (DSP) and field …

For non-destructive evaluation, the segmentation of infrared thermographic images of
carbon fibre composites is a critical task in material characterisation and quality assessment …

Smart contactless airport baggage management and handling system is a problem solver
that fits in maximum aspects of airport luggage security and management system. Thus …

Currently, many object detection systems still use devices with large sizes, such as using
PCs, as supporting devices, for object detection. This makes these devices challenging to …

In academia and business, deep-learning-based models have exhibited extraordinary
performance over the last decade. The learning potential of Convolutional Neural Networks …

Analog meters are extensively utilized in contemporary sectors, including HVAC systems,
pharmaceutical labs, manufacturing plants, and water treatment facilities. The present study …