A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...
Abstract: The manual diagnosis of diabetic retinopathy (DR) is often invasive, time-consuming, expensive, and prone to human error. Additionally, it can be subjective ...
Silvercorp Metals Inc. is upgraded to Buy (from previous Hold), driven by robust production, improving margins, and strong silver price tailwinds. SVM's operational improvements, increased ore ...
Abstract: This paper presents a comprehensive fault classification framework for three-phase Induction Motors (IMs) using a novel Grey Wolf Optimization-enhanced Support Vector Machine (GWO-SVM) ...
Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!
Primary immunodeficiency disorders (PIDs) are a heterogeneous group of disorders characterized, as the name suggests, by deficiencies (abnormal, poor or absent function) in the immune system. As ...
Silvercorp Metals has surged with silver prices but faces rising costs and jurisdictional risks due to its China-focused operations. SVM's latest earnings showed a 12% production increase but a 17% ...
Momentum investing is all about the idea of following a stock's recent trend, which can be in either direction. In the "long context," investors will essentially be "buying high, but hoping to sell ...
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 ...
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