| Description |
| 1. Javid, Irfan et al. ‘Data Pre-processing for Cardiovascular Disease Classification: A Systematic Literature Review’. 1 Jan. 2022 : 1 – 21. |
| 2. Javid, Irfan et al. ‘Optimally Organized GRU-deep Learning Model with Chi 2 Feature Selection for Heart Disease Prediction’. 1 Jan. 2022 : 4083 – 4094. |
| 3. Javid, I., Ghazali, R., Zulqarnain, M., Husaini, N.A. (2022). Deep Learning GRU Model and Random Forest for Screening Out Key Attributes of Cardiovascular Disease. In: Ghazali, R., Mohd Nawi, N., Deris, M.M., Abawajy, J.H., Arbaiy, N. (eds) Recent Advances in Soft Computing and Data Mining. SCDM 2022. Lecture Notes in Networks and Systems, vol 457. Springer, Cham. https://doi.org/10.1007/978-3-031-00828-3_16. |
| 4. Jafri SIH, Ghazali R, Javid I, Mahmood Z, Hassan AAA (2022) Deep transfer learning with multimodal embedding to tackle cold-start and sparsity issues in recommendation system. PLoS ONE 17(8): e0273486. https://doi.org/10.1371/journal.pone.0273486. |
| 5. Muhammad Zulqarnain, Rozaida Ghazali, Muhammad Ghulam Ghouse, Yana Mazwin Mohmad Hassim, Irfan Javid, "Predicting Financial Prices of Stock Market using Recurrent Convolutional Neural Networks ", International Journal of Intelligent Systems and Applications(IJISA), Vol.12, No.6, pp.21-32, 2020. DOI: 10.5815/ijisa.2020.06.02. |
| 6. Irfan Javid, Ahmed Khalaf Zager Alsaedi and Rozaida Ghazali, “Enhanced Accuracy of Heart Disease Prediction using Machine Learning and Recurrent Neural Networks Ensemble Majority Voting Method” International Journal of Advanced Computer Science and Applications(IJACSA), 11(3), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110369. |
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