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 …

Breast cancer is a health concern of importance, and it is crucial to detect it early for effective
treatment. Recently there has been increasing interest in using artificial intelligence (AI) for …

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 …

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 …

Skin cancer is considered one of the most fatal illnesses in the human population. Within the
current healthcare system, the procedure of identifying skin cancer is time-consuming and …

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 …

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 …

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 …

Educational Data Mining (EDM) applies advanced data mining techniques to analyse data
from educational settings, traditionally aimed at improving student performance. However …

Toxic metals have a serious impact on the ecological environment. The determination of
these metal concentrations provides more information about their toxicity. In this study, a …