WAVELET SHRINKAGE-BASED COEFFICIENT FOR ARRHYTHMIA DETECTION IN ECG DATA

This research explores the application of wavelet shrinkage for denoising electrocardiography (ECG) data and detecting arrhythmias. Wavelet shrinkage is a nonparametric regression technique used to reduce noise in signals by performing wavelet transformations and attenuating high-frequency components. The focus of this study is on RR time series, which represents the interval between

Authors: Raquel Romes Linhares
Pages: 16-20
HANDWRITTEN DIGIT RECOGNITION USING MULTILAYER PERCEPTRONS AND BACKPROPAGATION LEARNING

Handwriting recognition has long posed a significant challenge in the realm of computer applications. However, the advent of neural networks has ushered in a new era, opening the door to a myriad of applications, including handwriting recognition, voice recognition, and complex decision-making through machine learning. In this project, we present a Java application that leverages neural

Authors: Michael David Johnson , Jessica Maria Rodriguez
Pages: 1-8
THE FOUNDATIONS OF PROGRAMMING: A DIVE INTO OPERATIONAL SEMANTICSComputer Programming

Computer programming is a fundamental tool in the world of computerization, and a solid grasp of its foundational aspects, including syntax, semantics, and their implications, is essential. Syntax addresses the grammatical structure of a program, while semantics delves into the meaning of programs that adhere to grammatical correctness. Consider, for instance, the statement: "c:=a; a:=b; b:=c"

Authors: Abdullahi Ahmed Yusuf
Pages: 9-15