Abstract: All the symptoms have been analyzed using several machine learning algorithms for diagnosing breast cancer. This paper utilizes the Breast Cancer Wisconsin (Diagnostic) data set to show how ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Abstract: Vision transformers (ViTs) and convolutional neural networks (CNNs) have demonstrated remarkable performance in classifying complicated hyperspectral images (HSIs). However, these models ...
A deepfake image of President Donald Trump that received millions of views on social media is the latest large-scale example of how generative artificial intelligence can be used to create falsehoods ...
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