In last years, computer vision has shown important advances, mainly using the application of
supervised machine learning (ML) and deep learning (DL) techniques. The objective of this …

Lung carcinoma is one of the main causes of deaths over the whole world, causing a global
burden of morbidity and mortality. Detecting lung tumors at their early stages can help …

Surface-enhanced Raman spectroscopy (SERS) is a powerful technique for molecular
sensing and has gained significant attention due to its high sensitivity and selectivity. SERS …

Prostate cancer is a prevalent form of malignancy impacting a substantial male population
and ranks among the primary contributors to cancer-related fatalities globally. The utilization …

Accurately predicting student performance remains a significant challenge in the
educational sector. Identifying students who need additional support early can significantly …

The Internet of Things (loT) has been regarded as the most critical technology due to its
resource-constrained sensors transmitted via low-power wireless technologies beneath low …

Communication, social interaction, behavior, and sensory processing are all negatively
impacted by the neurodevelopmental disease known as autism spectrum disorder (ASD) …

The prediction of proton energy shows a key part in various scientific and technological
studies including particle physics, medical imaging, and radiation therapy. In the last years …

Technology and artificial intelligence play a significant role in improving healthcare and
enable tasks to be automated. In addition, the diseases can be better understood and …

The aim of this study is to improve the performance of detection Birds Species by proposed a
hybrid model using a combination of MobileNetV2 for feature extraction, an Autoencoder for …