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MyJournals.org - Science - 'Algorithms, Vol. 16, Pages 288: An Adaptive Deep Learning Neural Network Model to Enhance Machine-Learning-Based Classifiers for Intrusion Detection in Smart Grids' (Algorithms) - Vimarsana News

MyJournals.org - Science - 'Algorithms, Vol. 16, Pages 288: An Adaptive Deep Learning Neural Network Model to Enhance Machine-Learning-Based Classifiers for Intrusion Detection in Smart Grids' (Algorithms)

MyJournals.org - Science - 'Algorithms, Vol. 16, Pages 288: An Adaptive Deep Learning Neural Network Model to Enhance Machine-Learning-Based Classifiers for Intrusion Detection in Smart Grids' (Algorithms)

Instagram Chief Explains How Reels And Photos Are Ranked - Vimarsana News

Instagram Chief Explains How Reels And Photos Are Ranked

Instagram has unveiled new information about its ranking algorithms, with new details in a blog post about the unique algorithms behind the Feed, Stories, Explore, Reels, and Search features. Instagram also described what is shadowbanning and cleared the misconceptions surrounding it.

Source: news18.com
MyJournals.org - Science - 'Prediction of disease-related miRNAs by voting with multiple classifiers' (BMC Bioinformatics) - Vimarsana News

MyJournals.org - Science - 'Prediction of disease-related miRNAs by voting with multiple classifiers' (BMC Bioinformatics)

MyJournals.org - Science - 'Prediction of disease-related miRNAs by voting with multiple classifiers' (BMC Bioinformatics)

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Disease Related
Ultrafine selection at your fingertips - Vimarsana News

Ultrafine selection at your fingertips

Loïc Pottier and Philippe Niel, Fives, detail the development of a new generation of classifiers designed to work with ultrafine mineral loads.

"Machine learning models for classification and identification of signi" by Koushik Chandra Howlader, Md Shahriare Satu et al. - Vimarsana News

"Machine learning models for classification and identification of signi" by Koushik Chandra Howlader, Md Shahriare Satu et al.

Type 2 Diabetes (T2D) is a chronic disease characterized by abnormally high blood glucose levels due to insulin resistance and reduced pancreatic insulin production. The challenge of this work is to identify T2D-associated features that can distinguish T2D sub-types for prognosis and treatment purposes. We thus employed machine learning (ML) techniques to categorize T2D patients using data from the Pima Indian Diabetes Dataset from the Kaggle ML repository. After data preprocessing, several feature selection techniques were used to extract feature subsets, and a range of classification techniq...

Source: uow.edu.au