Penerbitan WOS

Nur Syafiqah Charim, Nadiah Ruza, Mohd Hafiz Arzmi, Saiful Izzuan Hussain.  (2024).  Binary and Multi-Classification Models for Breast Cancer Diagnosis Using Automated Deep Learning and Mammography Images with Different Augmentation Cases.  - Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería.  1 - 15. 

Nabilah Ruza, Saiful Izzuan Hussain, Siti Kamariah Che Mohamed, Mohd Hafiz Arzmi.  (2023).  Early detection of breast cancer in mammograms using the lightweight modification of efficientNet B3.  - International Journal of Numerical Methods for Calculation and Design in Engineering.  1-11. 

Balqis Mohd Azman, Saiful Izzuan Hussain, Nor Aniza Azmi, Muhammad Zahin Athir Abd Ghani, Nor Irfan Danial Norlen.  (2022).  Prediction of distant recurrence in breast cancer using a deep neural network.  - Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería / International Journal of Numerical Methods for Calculation and Design in Engineering (RIMNI).  1-11. 

Saiful Izzuan Hussain, Nadiah Ruza.  (2022).  Automated Deep Learning of COVID-19 and Pneumonia Detection Using Google AutoML.  - Intelligent Automation & Soft Computing.  1143-1156. 

Saiful Izzuan Hussain, Steven Li.  (2021).  Dependence structure between oil and other commodity futures in China based on extreme value theory and copulas.  - The World Economy.  317-335. 

Mazmira Adan, Saiful Izzuan Hussain.  (2021).  The relationship between economic growth, small and medium enterprises and the number of employees in Malaysia using vine copula approach.  - Sains Malaysiana.  2455-2468.