Fire detection is a critical safety issue due to the major and irreversible consequences of fire,
from economic prejudices to loss of life. It is therefore of utmost importance to design …

Researchers commonly use continuous noninvasive blood-pressure measurement (cNIBP)
based on photoplethysmography (PPG) signals to monitor blood pressure conveniently …

Resource recycling is considered necessary for sustainable development, especially in
smart cities where increased urbanization and the variety of waste generated require the …

Brain tumor classification is a significant issue in computer aided diagnosis to make a
convenient treatment. Deep learning techniques are surpassing traditional brain tumor …

Applying deep learning (DL) algorithms for image classification tasks becomes more
challenging with insufficient training data. Transfer learning (TL) has been proposed to …

Background Accurately diagnosing brain tumors from MRI scans is crucial for effective
treatment planning. While traditional methods heavily rely on radiologist expertise, the …

One of the diseases that attacks the lungs is pneumonia. Pneumonia is inflammation and
fluid in the lungs making it difficult to breathe. This disease is diagnosed using X-Ray …

There are many “hyperparameters” that dictate the performance of Artificial Neural Network
(ANN) models in tasks such as classification and object detection. This study proposes an …

Precise delineation of brain glioblastoma or tumor through segmentation is pivotal in the
diagnosis, formulating treatment strategies, and evaluating therapeutic progress in patients …

Accurate and precise glaucoma screening is crucial for early assessment to prevent
blindness, particularly in communities where access to ophthalmologists' services is limited …