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Waddah Waheeb Hassan Saeed

Postdoktor

Postdoctoral Research Fellow

 
Kontor:
A2099 ( Jon Lilletuns vei 9, Grimstad )

Forskning

Time series, Forecasting, Data Science, Artificial Intelligence

Arbeidserfaring

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.

Utvalgte publikasjoner

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. IJIMAI5(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 Intelligence48(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 Sistemas21(4), 771-785.

Waheeb, W., Ghazali, R., & Herawan, T. (2016). Ridge polynomial neural network with error feedback for time series forecasting. PloS one11(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.

Vitenskapelige publikasjoner

  • Saeed, Waddah; Ghazali, Rozaida; Deris, Mustafa (2015). Content-based SMS spam filtering based on the Scaled Conjugate Gradient backpropagation algorithm. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2015). ISBN: 978-1-4673-7682-2. IEEE.

Sist endret: 29.10.2020 12:10