Deep Learning with Yacine on MSN

Sleep Stage Classification with Python: EEG, Scikit-Learn & MNE

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like ...
IEEE

EffNet-SVM: A Hybrid Model for Diabetic Retinopathy Classification Using Retinal Fundus Images

Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...
GitHub

Bittensor Subnet for Image Classification and Object Detection

This documentation assumes basic familiarity with Bittensor concepts. For an introduction, please check out the docs: https://docs.bittensor.com/learn/bittensor ...
Frontiers

Advanced ECG feature extraction and SVM classification for predicting defibrillation success in OHCA

Out-of-hospital cardiac arrest (OHCA) represents a critical challenge for emergency medical services, with the necessity for rapid and accurate prediction of defibrillation outcomes to enhance patient ...
GitHub

[GR-65207] [Native Image] [Tool SVM:WASM]

bug native-image wasm-backendIssues related to the Wasm backend of GraalVM.Issues related to the Wasm backend of GraalVM. Java(TM) SE Runtime Environment Oracle GraalVM 24+36.1 (build 24+36-jvmci-b01) ...
IEEE

Performance analysis of Brain Tumour Image Classification using CNN and SVM

Abstract: Tumour is the undesired mass in the body. Brain tumour is the significant growth of brain cells. Manual method of classifying is time consuming and can be done at selective diagnostic ...