Time series, Forecasting, Data Science, Artificial Intelligence
Lecturer / Assistant Professor, Asia Pacific University of Technology and Innovation (APU), Malaysia, Oct 2019 - Sep 2020.
Graduate Research Assistant, Universiti Tun Hussein Onn Malaysia, Malaysia, Aug 2016 - Jan 2019.
Computer Programmer, Yemen Dairy & Juice Industries (S.Y.C), Yemen, Nov 2008 - Dec 2012.
Teaching Assistant, Hodeidah University, Yemen, 2007 - 2012.
Waheeb, W., Shah, H., Jabreel, M., & Puig, D. (2020). Bitcoin Price Forecasting: A Comparative Study Between Statistical and Machine Learning Methods.
Waheeb, W., Shah, H., Jabreel, M., Robotics, I. I., & Puig, D. (2020). Ridge Polynomial Neural Network with Error Feedback for Recursive Multi-step Forecast Strategy: A Case Study of Carbon Dioxide Emissions Forecasting.
Waheeb, W., & Ghazali, R. (2019). A new genetically optimized tensor product functional link neural network: an application to the daily exchange rate forecasting. Evolutionary Intelligence, 12(4), 593-608.
Waheeb, W., & Ghazali, R. (2019). A novel error-output recurrent neural network model for time series forecasting. Neural Computing and Applications, 1-27.
Waheeb, W., & Ghazali, R. (2019). Forecasting the Behavior of Gas Furnace Multivariate Time Series Using Ridge Polynomial Based Neural Network Models. IJIMAI, 5(5), 126-133.
Waheeb, W., Ghazali, R., & Shah, H. (2019). Nonlinear Autoregressive Moving-average (NARMA) Time Series Forecasting Using Neural Networks. In 2019 International Conference on Computer and Information Sciences (ICCIS) (pp. 1-5). IEEE.
Waheeb, W., Ghazali, R., & Hussain, A. J. (2018). Dynamic ridge polynomial neural network with Lyapunov function for time series forecasting. Applied Intelligence, 48(7), 1721-1738.
Waheeb, W., Ghazali, R., Ismail, L. H., & Abd Kadir, A. (2018). Modelling and Forecasting Indoor Illumination Time Series Data from Light Pipe System. In International Conference of Reliable Information and Communication Technology (pp. 57-64). Springer, Cham.
Waheeb, W., & Ghazali, R. (2017). Content-based SMS Classification: Statistical Analysis for the Relationship between Number of Features and Classification Performance. Computación y Sistemas, 21(4), 771-785.
Waheeb, W., Ghazali, R., & Herawan, T. (2016). Ridge polynomial neural network with error feedback for time series forecasting. PloS one, 11(12), e0167248.
Waheeb, W., & Ghazali, R. (2016). Chaotic time series forecasting using higher order neural networks. International Journal on Advanced Science, Engineering and Information Technology, 6(5), 624-629.
Waheeb, W., Ghazali, R., & Herawan, T. (2016). Time series forecasting using ridge polynomial neural network with error feedback. In International Conference on Soft Computing and Data Mining (pp. 189-200). Springer, Cham.
Waheeb, W., Ghazali, R., & Herawan, T. (2016). Time series forecasting using ridge polynomial neural network with error feedback. In International Conference on Soft Computing and Data Mining (pp. 189-200). Springer, Cham.
Waheeb, W., Ghazali, R., & Deris, M. M. (2015). Content-based sms spam filtering based on the scaled conjugate gradient backpropagation algorithm. In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) (pp. 675-680). IEEE.
Last changed: 29.10.2020 12:10