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Pre-trained Deep Learning Models for COVID19 Classification: CNNs vs. Vision Transformer.

M. Sufian, E. Moung, J. Dargham, F. Yahya, and S. Omatu. IICAIET, page 1-6. IEEE, (2022)

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Ervin Bejdakic

Feynman integrals, hypergeometric functions and nested sumsE. Bejdakic. Uni Bielefeld, (2009)

Olga ervínková

NULL Ervinna

Ervin Ramollari

Ervin Wolfram

Other publications of authors with the same name

Estimating the Number of Cameras Required for a Given Classroom for Face-based Smart Attendance System.J. Dargham, A. Chekima, E. Moung, H. Wong, and S. Chung. IICAIET, page 1-5. IEEE, (2020)Cooperative Network Coding for International Mobile Telecommunications.A. Farzamnia, S. Yit, M. Haldar, and E. Moung. IICAIET, page 1-5. IEEE, (2018)An Overview for Computer-Assisted Automated Spinal Scoliosis Measurement.A. Xie, and E. Moung. ICEITSA, page 331-336. ACM, (2023)COVID-19 Classification through Deep Learning Models with Three-Channel Grayscale CT Images.M. Sufian, E. Moung, M. Hijazi, F. Yahya, J. Dargham, A. Farzamnia, F. Sia, and N. Naim. Big Data Cogn. Comput., 7 (1): 36 (March 2023)Indigenous Food Recognition Model Based on Various Convolutional Neural Network Architectures for Gastronomic Tourism Business Analytics.M. Razali, E. Moung, F. Yahya, C. Hou, R. Hanapi, R. Mohamed, and I. Hashem. Inf., 12 (8): 322 (2021)Comparison of Bit Error Rate Performance for CDMA Systems in Different Fading and AWGN Channels.A. Farzamnia, M. Mariappan, R. Thangasalvam, and E. Moung. IICAIET, page 1-5. IEEE, (2018)Internet-of-Things for Smart Dryers: Enablers, State of the arts, Challenges, and Solutions.M. Rizalman, E. Moung, J. Dargham, Z. Jamain, N. Yaakub, and S. Omatu. IICAIET, page 1-6. IEEE, (2022)Network Coded MIMO Cooperative Communications for the Emergency Area.A. Farzamnia, L. Hua, and E. Moung. Wirel. Pers. Commun., 109 (2): 1001-1019 (2019)Efficient Cellular Network with Network Coding in Disaster Area.A. Farzamnia, L. Zhen, and E. Moung. Wirel. Pers. Commun., 106 (2): 701-718 (2019)Fusion of Moment Invariant Method and Deep Learning Algorithm for COVID-19 Classification.E. Moung, C. Hou, M. Sufian, M. Hijazi, J. Dargham, and S. Omatu. Big Data Cogn. Comput., 5 (4): 74 (2021)

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Disambiguation of "Moung, Ervin Gubin"

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Pre-trained Deep Learning Models for COVID19 Classification: CNNs vs. Vision Transformer.

Please choose a person to relate this publication to

Ervin Bejdakic

Olga ervínková

NULL Ervinna

Ervin Ramollari

Ervin Wolfram

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Moung, Ervin Gubin"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Pre-trained Deep Learning Models for COVID19 Classification: CNNs vs. Vision Transformer.

Please choose a person to relate this publication to

Ervin Bejdakic

Olga ervínková

NULL Ervinna

Ervin Ramollari

Ervin Wolfram

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Pre-trained Deep Learning Models for COVID19 Classification: CNNs vs. Vision Transformer.