Sign Up to like & get
recommendations!
0
Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2018.0889
Abstract: A novel residual-error prediction method based on deep learning with application in lossless image compression is introduced. The proposed method employs machine learning tools to minimise the residual error of the employed prediction tools. Experimental…
read more here.
Keywords:
error;
error prediction;
residual error;
deep learning ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3008872
Abstract: In this paper, a new approach is introduced to reduce bit stuffing and consequently residual error probability in the controller area network (CAN). The proposed method is based on XOR masking. Unlike the XOR method,…
read more here.
Keywords:
controller area;
area network;
residual error;
error ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2017 at "Educational and Psychological Measurement"
DOI: 10.1177/0013164416652441
Abstract: In behavioral sciences broadly, estimating growth models with Bayesian methods is becoming increasingly common, especially to combat small samples common with longitudinal data. Although Mplus is becoming an increasingly common program for applied research employing…
read more here.
Keywords:
error structures;
proc mcmc;
sas proc;
residual error ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "Biosensors"
DOI: 10.3390/bios12070524
Abstract: In the past few years, deep learning-based electrocardiogram (ECG) compression methods have achieved high-ratio compression by reducing hidden nodes. However, this reduction can result in severe information loss, which will lead to poor quality of…
read more here.
Keywords:
compression method;
residual error;
ecg compression;
method ... See more keywords