We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Abstract: This work aims to develop an effective flower classification approach using machine learning algorithms. Eight flower categories were analyzed in order to extract their features. Scale ...
Abstract: Detection and prediction of the onset of seizures are among the most challenging problems in epilepsy diagnostics and treatment. Small electronic devices capable of doing that will improve ...
This project focuses on developing a machine learning model to classify various electrical fault types in a transmission line. The model utilizes voltage and current measurements as inputs to identify ...
AI model suggests deep vein thrombosis may be identified more accurately using gut microbiome profiles. Read more.
Most working professionals already understand that AI skills are no longer optional they are a career necessity.
We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
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STK2100 gives an introduction to different methods for supervised learning (regression and classification). The course contains both model and algorithm based approaches. The main focus is supervised ...
A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...
Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
Astronomers in Arizona turned to artificial intelligence to test out a new method of classifying meteors based on their ...
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