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MUHAMMAD NAUFAL RACHMATULLAH

Teknik Informatika

NIDN/NIDK : 0001129204

MUHAMMAD NAUFAL RACHMATULLAH

Teknik Informatika

NIDN/NIDK : 0001129204

H-INDEX

WoS H-Index : 0

Scopus H-Index : 14

Google H-Index : 17

H-INDEX

WoS H-Index : 0

Scopus H-Index : 14

Google H-Index : 17

Scopus Documents

Total : 50

Q1
An improved semantic segmentation with region proposal network for cardiac defect interpretation
Authors : MUHAMMAD NAUFAL RACHMATULLAH
Citation : 8
Cover Date : 2022-08-01
Type Doc : Journal
Publication Name : Neural Computing and Applications
ISSN : 09410643
DOI : 10.1007/s00521-022-07217-1
Q1
A novel approach in determining neural networks architecture to classify data with large number of attributes
Authors : MUHAMMAD NAUFAL RACHMATULLAH
Citation : 6
Cover Date : 2020-01-01
Type Doc : Journal
Publication Name : IEEE Access
ISSN :
DOI : 10.1109/ACCESS.2020.3036853
Q2
Machine Learning Techniques with LowDimensional Feature Extraction for Improving the Generalizability of Cardiac Arrhythmia
Authors : MUHAMMAD NAUFAL RACHMATULLAH
Citation : 6
Cover Date : 2021-01-01
Type Doc : Journal
Publication Name : IAENG International Journal of Computer Science
ISSN : 1819656X
DOI :
Q2
Segmentation atrioventricular septal defect by using convolutional neural networks based on U-NET architecture
Authors : MUHAMMAD NAUFAL RACHMATULLAH
Citation : 5
Cover Date : 2021-09-01
Type Doc : Journal
Publication Name : IAES International Journal of Artificial Intelligence
ISSN : 20894872
DOI : 10.11591/ijai.v10.i3.pp553-562
Q4
Deep classifier on the electrocardiogram interpretation system
Authors : MUHAMMAD NAUFAL RACHMATULLAH
Citation : 4
Cover Date : 2019-07-15
Type Doc : Conference Proceeding
Publication Name : Journal of Physics: Conference Series
ISSN : 17426588
DOI : 10.1088/1742-6596/1246/1/012030
Q2
Author identification in bibliographic data using deep neural networks
Authors : MUHAMMAD NAUFAL RACHMATULLAH
Citation : 4
Cover Date : 2021-06-01
Type Doc : Journal
Publication Name : Telkomnika (Telecommunication Computing Electronics and Control)
ISSN : 16936930
DOI : 10.12928/TELKOMNIKA.v19i3.18877
Q1
DAE-ConvBiLSTM: End-to-end learning single-lead electrocardiogram signal for heart abnormalities detection
Authors : MUHAMMAD NAUFAL RACHMATULLAH
Citation : 4
Cover Date : 2022-12-01
Type Doc : Journal
Publication Name : PLoS ONE
ISSN :
DOI : 10.1371/journal.pone.0277932
Q3
Delineation of electrocardiogram morphologies by using discrete wavelet transforms
Authors : MUHAMMAD NAUFAL RACHMATULLAH
Citation : 3
Cover Date : 2021-01-01
Type Doc : Journal
Publication Name : Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752
DOI : 10.11591/ijeecs.v21.i4.pp159-167
Q3
Automatic detection of background diabetic retinopathy disease using hybrid multilevel thresholding and convolutional neural network
Authors : MUHAMMAD NAUFAL RACHMATULLAH
Citation : 2
Cover Date : 2019-01-01
Type Doc : Journal
Publication Name : Journal of Engineering Science and Technology
ISSN : 18234690
DOI :
Q1
Automated Precancerous Lesion Screening Using an Instance Segmentation Technique for Improving Accuracy
Authors : MUHAMMAD NAUFAL RACHMATULLAH
Citation : 2
Cover Date : 2022-08-01
Type Doc : Journal
Publication Name : Sensors
ISSN : 14248220
DOI : 10.3390/s22155489