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 ...
Students doing certain degrees may no longer receive the same amount of reimbursement for their studies now that the Department of Education is implementing various measures from President Donald ...
In this project, We build a Support Vector Machines classifier to classify a Pulsar star. We have used the Predicting a Pulsar Star dataset for this project. We have downloaded this dataset from the ...
On November 4, 2025, amidst a period of subdued economic growth and international trade friction, the Minister of Finance and National Revenue François-Philippe Champagne tabled the federal budget ...
Syracuse, N.Y. — The New York State Public High School Athletic Association (NYSPHSAA) on Tuesday approved a proposal that would set up a statewide, standardized process for classifying non-public ...
Section 1. Purpose. The Congress has recognized that effective Government administration requires excepting some positions from the competitive service based on their confidential, policy-determining, ...
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 ...
Epilepsy detection using artificial intelligence (AI) networks has gained significant attention. However, existing methods face challenges in accuracy, computational cost, and speed. CNN excel in ...
ABSTRACT: In this paper, a class of Choquard equation with Hardy potential in the whole space ℝ N will be considered, where the parameters p , q and α in the convolution-nonlinearity term are under a ...
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