Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...
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Abstract: Machine learning models are being increasingly deployed in sensitive applications where data privacy and model security are of paramount importance. This paper introduces a novel ...
ABSTRACT: Earned Value Management (EVM) has emerged as an effective project monitoring and control method while the construction industry has lagged other industries, such as defense and aerospace, in ...
A comprehensive machine learning web application that predicts disease risk based on patient medical parameters using Logistic Regression and Random Forest algorithms. This project provides an ...
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Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.
Gov. Gavin Newsom signs SB 243, the first US law setting child-safety rules for AI chatbots, from crisis redirects to transparency requirements. Hollywood pushes back against OpenAI’s Sora 2 as ...
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