Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...
If you’ve ever felt frustrated by Spotify‘s algorithm recommending songs that don’t match your taste, there’s some good news. The streaming giant is finally giving you a way to take control of its ...
With the rapid expansion of digital image repositories, fast and accurate Content-Based Image Retrieval (CBIR) systems have become increasingly essential. However, the high-dimensional nature of image ...
Is there a way you could add the selection of different algorithms? This old obsidian-recall plugin allowed this. Another person in this topic #51 asked if a newer algorithm is possible to implement, ...
Tuberculosis, caused by Mycobacterium tuberculosis, is a severe and persistent global public health issue, particularly exacerbated by the emergence of multidrug-resistant and extensively ...
Abstract: The increasing demand for responsive and intuitive assistive walking devices, driven by an aging population, underscores the need for intelligent systems powered by emerging machine learning ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study explores the development of two predictive models for the yield sooting ...
Cancer machine learning research is often limited by overparameterization and overfitting, which arise because cancer ‘omic’ variables significantly outnumber patient samples. Traditional feature ...
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