Background The development of fast, efficient, accurate, and reliable techniques and
methods for food authenticity identification is crucial for food quality assurance. Traditional …

Background As same as the priority and importance of food for being alive for humans, its
science play also a significant role in the world. So, food science, food technology, food …

Deep convolutional neural networks (DCNNs) have exhibited excellent feature extraction
and detail reconstruction capabilities for single image super-resolution (SISR) …

This manuscript proposes a self-attention based progressive generative adversarial network
optimized with momentum search optimization algorithm for brain tumor classification on …

In modern healthcare, the precision of medical image segmentation holds immense
significance for diagnosis and treatment planning. Deep learning techniques, such as …

Breast Cancer (BC) is one of the top reasons for fatality in women worldwide. As a result,
timely identification is critical for successful therapy and excellent survival rates. Transfer …

This study addresses the critical challenge of accurately classifying brain tumors using
artificial intelligence. Early detection is crucial, as untreated tumors can be fatal. Despite …

To address the low-light image (LLI) problem in train driving scenarios, this paper proposes
a progressive and lightweight network called BrightsightNet for LLI enhancement. First, to …

Segmentation of brain tumors is of great importance for patients in clinical diagnosis and
treatment. For this reason, experts try to identify border regions of special importance using …

Encountering unexpected events with different levels of danger can cause different levels of
emotional changes in the driver, and identifying the driver's mental state can assist in …