Increasing availability of industrial systems through data stream mining. - Ahmad Alzghoul; Magnus Löfstrand (Comput. Ind. Eng., 2011)

Data stream forecasting for system fault prediction. - Ahmad Alzghoul; Magnus Löfstrand; Björn Backe (Comput. Ind. Eng., 2012)

Mining data streams to increase industrial product availability. - Ahmad Alzghoul (2013)

Comparing a knowledge-based and a data-driven method in querying data streams for system fault detection: A hydraulic drive system application. - Ahmad Alzghoul; Björn Backe; Magnus Löfstrand; Arne Byström; Bengt Liljedahl (Comput. Ind., 2014)

Experimental and Computational Prediction of Glass Transition Temperature of Drugs. - Ahmad Alzghoul; Amjad Alhalaweh; Denny Mahlin; Christel A. S. Bergström (J. Chem. Inf. Model., 2014)

Addressing concept drift to improve system availability by updating one-class data-driven models. - Ahmad Alzghoul; Magnus Löfstrand (Evol. Syst., 2015)

Driver Drowsiness Detection System Using Deep Learning Based on Visual Facial Features. - Mahamad Salah Mahmoud; Anwar Jarndal; Ahmad Alzghoul; Hossam Almahasneh; Imad Alsyouf; Abdul Kadir Hamid (DeSE, 2021)

Monitoring Big Data Streams Using Data Stream Management Systems: Industrial Needs, Challenges, and Improvements. - Ahmad Alzghoul (Adv. Oper. Res., 2023)

Analyzing Factors Associated with Taxi Driver Accidents in the UAE: A Comprehensive Study. - Imad Alsyouf; Khaled Obaideen; Amir Moued Shikhli; Fakhariya Ibrahim; Meera Almaazmi; Ali Cheaitou; Alaa Al Hawari; Ahmad Alzghoul; Salah Haridy (ICSRS, 2024)