Objectives: This review aims to evaluate several convolutional neural network (CNN)
models applied to breast cancer detection, to identify and categorize CNN variants in recent …

Brain tumors, resulting from uncontrolled and rapid cell growth, pose significant health risks
if not treated early. Despite numerous advancements, accurate segmentation and …

The microwave brain imaging (MBI) system is an emerging technology used to detect brain
tumors in their early stages. Multi-class microwave-based brain tumor (MBT) identification …

Abstract Recently, Soil Organic Carbon (SOC) content has declined across global Mollisols
region due to erosion, intensive agriculture, and other factors, weakening the soil's capacity …

Computer vision, a vital facet of deep learning, seamlessly integrates object localization and
classification techniques to attain precise outcomes. Deep learning, nestled within the …

In this study, a low latent edge-based fire and smoke detection and alert system was
designed to detect and prevent indoor fires caused by human or machine faults, or lack of …

The brain is one of the most important organs in the human body. It governs all actions
whether one is aware of the action or not. Brain tumors occur when the system of cell …

Dance poses represent a complex human body-part movement, and express emotions and
gesture. Dance pose classification is a challenging problem in computer vision …

The fact that heart disease is still a health concern emphasizes the necessity of precise and
effective techniques for early identification and diagnosis. The aim of this work is to …

Deepfakes refer to the visual media where the faces, bodily movements have been digitally
altered using some software or program, this has proven to be more of a double edged …