Developing digital transformation strategy for manufacturing S Albukhitan Procedia computer science 170, 664-671, 2020 | 275 | 2020 |
Support vector machines framework for predicting the PVT properties of crude-oil systems E El-Sebakhy, T Sheltami, S Al-Bokhitan, Y Shaaban, I Raharja, ... SPE Middle East oil and gas show and conference, SPE-105698-MS, 2007 | 100 | 2007 |
Arabic ontology learning using deep learning S Albukhitan, T Helmy, A Alnazer Proceedings of the international conference on web intelligence, 1138-1142, 2017 | 35 | 2017 |
Health, food and user's profile ontologies for personalized information retrieval T Helmy, A Al-Nazer, S Al-Bukhitan, A Iqbal Procedia Computer Science 52, 1071-1076, 2015 | 35 | 2015 |
Automatic ontology-based annotation of food, nutrition and health Arabic web content S Albukhitan, T Helmy Procedia Computer Science 19, 461-469, 2013 | 26 | 2013 |
Semantic Annotation Tool for Annotating Arabic Web Documents S Al-Bukhitan, T Helmy, M Al-Mulhem The 5th International Conference on Ambient Systems, Networks and …, 2014 | 25 | 2014 |
PVT properties prediction using hybrid genetic-neuro-fuzzy systems A Khoukhi, S Albukhitan International Journal of Oil, Gas and Coal Technology 4 (1), 47-63, 2011 | 20 | 2011 |
On disk-based and diskless checkpointing for parallel and distributed systems: An empirical analysis NA Kofahi, S Al-Bokhitan, A Al-Nazer Information Technology Journal 4 (4), 367-376, 2005 | 17 | 2005 |
Semantic annotation of arabic web documents using deep learning S Albukhitan, A Alnazer, T Helmy Procedia computer science 130, 589-596, 2018 | 15 | 2018 |
Framework of semantic annotation of Arabic document using deep learning S Albukhitan, A Alnazer, T Helmy Procedia Computer Science 170, 989-994, 2020 | 11 | 2020 |
Arabic ontology learning from un-structured text S Albukhitan, T Helmy 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 492-496, 2016 | 10 | 2016 |
Semantic annotation of Arabic web resources using semantic web services S Albukhitan, A Alnazer, T Helmy Procedia Computer Science 83, 504-511, 2016 | 9 | 2016 |
A data-driven genetic neuro-fuzzy system to PVT properties prediction A Khoukhi, S Alboukhitan 2010 Annual Meeting of the North American Fuzzy Information Processing …, 2010 | 9 | 2010 |
Semantic web annotation using deep learning with Arabic morphology S Albukhitan, A Alnazer, T Helmy Procedia Computer Science 151, 385-392, 2019 | 8 | 2019 |
Cross-domain semantic web model for understanding multilingual natural language queries: English/arabic health/food domain use case A Al-Nazer, S Albukhitan, T Helmy Procedia Computer Science 83, 607-614, 2016 | 8 | 2016 |
Multi-agent Based System for Multilingual Ontologies Maintenance S Albukhitan, T Helmy 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2014 | 4 | 2014 |
Multilingual food and health ontology learning using semi-structured and structured Web data sources S Albukhitan, T Helmy 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2012 | 2 | 2012 |
Hybrid Soft Computing for PVT Properties Prediction L Ghouti, S Al-Bukhitan ESANN 2010 proceedings, European Symposium on Artificial Neural Networks …, 2010 | 2 | 2010 |
Estimating PVT Properties of Crude Oil System Based on Functional Networks EA El-Sebakhy, SY Al-Bokhitan Petroleum science and engineering-2008, 2008 | 2* | 2008 |
Framework for Automatic Semantic Annotation of Arabic Websites T Helmy, S Al-Bukhitan International Journal of Cooperative Information Systems 25 (01), 1650001, 2016 | | 2016 |