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Jahmunah, V.
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Jahmunah, V.
Showing
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Jahmunah, V.
'
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1
Development of advanced artificial intelligence techniques for the detection of myocardial infarction ECG signals in clinical settings
by
Jahmunah
,
V
.
Published 2023
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Thesis-Doctor of Philosophy
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2
Automated detection of coronary artery disease, myocardial infarction and congestive heart failure using GaborCNN model with ECG signals
by
Jahmunah
,
V
.
,
Ng, Eddie Yin Kwee
,
San, Tan Ru
,
Acharya, U. Rajendra
Published 2022
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3
Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals
by
Jahmunah
,
V
.
,
Ng, Eddie Yin Kwee
,
Tan, Ru-San
,
Oh, Shu Lih
,
Acharya, U. Rajendra
Published 2022
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4
Uncertainty quantification in DenseNet model using myocardial infarction ECG signals
by
Jahmunah
,
V
,
Ng, Eddie Yin Kwee
,
Tan, Ru-San
,
Oh, Shu Lih
,
Acharya, U. Rajendra
Published 2023
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5
A computational intelligence tool for the detection of hypertension using empirical mode decomposition
by
Soh, Desmond Chuang Kiat
,
Ng, Eddie Yin Kwee
,
Jahmunah
,
V
.
,
Oh, Shu Lih
,
San, Tan Ru
,
Acharya, U. Rajendra
Published 2021
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Automated diagnostic tool for hypertension using convolutional neural network
by
Soh, Desmond Chuang Kiat
,
Ng, Eddie Yin Kwee
,
Jahmunah
,
V
.
,
Oh, Shu Lih
,
Tan, Ru San
,
Acharya, U. Rajendra
Published 2021
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7
A novel automated autism spectrum disorder detection system
by
Oh, Shu Lih
,
Jahmunah
,
V
.
,
Arunkumar, N.
,
Abdulhay, Enas W.
,
Gururajan, Raj
,
Nahrizul Adib, Kadri
,
Ciaccio, Edward J.
,
Cheong, Kang Hao
,
Acharya, U. Rajendra
Published 2021
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