Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
1d
Automating microfluidic chip design: Hybrid approach combines machine learning with fluid mechanics
Researchers led by Assoc. Prof. Dr. Savaş Taşoğlu from the Department of Mechanical Engineering at Koç University have developed a new, open-access and machine learning-assisted design tool aimed at ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Traditional processes used to discover new materials are complex, time-consuming, and costly, often requiring years of ...
Almost five million people in Australia fall ill each year from unsafe or contaminated food. Australian technology is helping ...
XRP extended its weekly rally on Friday, November 28, climbing another 1.5% on the daily chart as a number of bullish developments renewed the momentum. Notably, the token pushed above its 20-day ...
The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
Amazon has threatened legal action against AI startup Perplexity. Perplexity called the move "a threat to all internet users." The fight could impact the future of AI-powered shopping. The battle over ...
XRP is back above the $3 mark after a shaky few weeks, regaining momentum and breathing new hope into the market. Hovering at around $3.04 at the time of writing, the cryptocurrency is up over 1.72% ...
Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...
This illustration draws a parallel between quantum state tomography and natural language modeling. In quantum tomography, structured measurements yield probability outcomes that are aggregated to ...
Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...
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