Shahzad Ali

Dottorando

Dipartimento di Farmacia e Biotecnologie

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Pubblicazioni

Shahzad Ali, Muhammad Shahbaz (2020). “Streamflow forecasting by modeling the rainfall–streamflow relationship using artificial neural networks”, Modeling Earth Systems and Environment. 6, 1645–1656 (2020). https://link.springer.com/article/10.1007%2Fs40808-020-00780-3
Shahzad Ali, Muhammad Shahbaz, and Kashif Jamil (2019). “Entropy-Based Feature Selection Classification Approach for Detecting Phishing Websites”, In Proceedings of the 13th IEEE International Conference on Open Source System and Technologies 2019 (ICOSST’19). https://ieeexplore.ieee.org/abstract/document/9044042
Muhammad Shahbaz, Shahzad Ali, Aziz Guergachi, Aneeta Niazi, Amina Umer (2019). “Classification of Alzheimer’s Disease using Machine Learning Techniques”, In Proceedings of the 8th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-377-3, pages 296-303. DOI: 10.5220/0007949902960303. https://www.scitepress.org/Papers/2019/79499/79499.pdf
Shahzad Ali, Muhammad Usman, Dawood Saddique, Umair Maqbool, Muhammad Usman Aslam, Shoaib Ejaz, “Prediction of Diabetes Disease using Data Mining Classification Techniques,” Proceeding of Al Yamamah University Engineering Forum (YUENG), Riyadh, KSA, 10-11 March 2019. https://yueng.yu.edu.sa/wp-content/uploads/2019/02/YUENG2019_paper_21.pdf