Have you ever seen a hibiscus flower? Although its petals have a range of colors, what makes the trumpet-shaped flower more ...
High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...
Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.
A new study published in Conservation Biology shows that geotagged social media photos can significantly improve biodiversity datasets, especially in regions underrepresented in global monitoring ...
The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and ...
Abstract: Climate change, urbanization, and industrialization have all contributed to an increase in fire-related incidents, which has raised the need for efficient fire detection systems. Traditional ...
A viral AI caricature trend may be exposing sensitive enterprise data, fueling shadow AI risks, social engineering attacks, ...
Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...
Researchers have developed a new artificial intelligence-based approach for detecting fatty deposits inside coronary arteries using optical coherence tomography (OCT) images. Because these lipid-rich ...
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