Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
Abstract: The access control state of a system is complex, and Machine Learning (ML) based access control decision engines have demonstrated advantages of policies. However, struggle to effectively ...
Background: Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging ...
Salesforce has cut 4,000 customer support jobs and replaced them with artificial intelligence (AI) agents, CEO Marc Benioff said recently. Benioff made the comments while discussing how the new ...
SAN FRANCISCO — A federal judge on Tuesday blocked President Donald Trump's administration from using the military to fight crime in California, as the Republican president threatens to send troops to ...
This project implements advanced machine learning approaches for brain tumor classification using MRI images from the PMRAM Bangladeshi Brain Cancer MRI Dataset. The project includes two comprehensive ...
Especially the smallest model with 270m parameters might be an interesting replacement for older model architectures like DistilBERT in resource-constrained environments. We have seen reasonable ...
TITLE: Optimizing Lung Cancer Detection in CT Imaging: A Wavelet Multi-Layer Perceptron (WMLP) Approach Enhanced by Dragonfly Algorithm (DA) ...
If you've installed the big Windows 11 update that Microsoft pushed out in August (which also includes the new Black Screen of Death), you'll notice a brand new entry in Settings: Quick Machine ...
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