| Comparison of prediction methods of PV/T nanofluid and nano-PCM system using a measured dataset and artificial neural network AHA Al-Waeli, K Sopian, HA Kazem, JH Yousif, MT Chaichan, A Ibrahim, ... Solar Energy 162, 378-396, 2018 | 190 | 2018 |
| Artificial neural network modeling and analysis of photovoltaic/thermal system based on the experimental study JH Yousif, C M.T., AWA H.A., S K., HA Kazem, J Boland Energy Conversion and Management 186, 368-379, 2019 | 132 | 2019 |
| Mathematical and neural network modeling for predicting and analyzing of nanofluid-nano PCM photovoltaic thermal systems performance AHA Al-Waeli, HA Kazem, JH Yousif, MT Chaichan, K Sopian Renewable Energy 145, 963-980, 2020 | 115 | 2020 |
| Modeling of daily solar energy system prediction using support vector machine for Oman HA Kazem, JH Yousif, MT Chaichan International Journal of Applied Engineering Research 11 (20), 10166-10172, 2016 | 96 | 2016 |
| Comparison of prediction methods of photovoltaic power system production using a measured dataset HA Kazem, JH Yousif Energy conversion and management 148, 1070-1081, 2017 | 90 | 2017 |
| Cloud computing and enterprise resource planning systems SL Saini, DK Saini, JH Yousif, SV Khandage Proceedings of the world Congress on Engineering 1, 681-684, 2011 | 82 | 2011 |
| A comparison study based on artificial neural network for assessing PV/T solar energy production JH Yousif, HA Kazem, NN Alattar, II Elhassan Case Studies in Thermal Engineering, 2019 | 79 | 2019 |
| Experimental and deep learning artificial neural network approach for evaluating grid‐connected photovoltaic systems. HA Kazem, JH Yousif, MT Chaichan, AHA Al‐Waeli Int J Energy Res 43 (14), 8572-8591, 2019 | 53 | 2019 |
| Predictive models for photovoltaic electricity production in hot weather conditions JH Yousif, HA Kazem, J Boland Energies 10 (7), 971, 2017 | 49 | 2017 |
| Analysis and forecasting of weather conditions in Oman for renewable energy applications JH Yousif, HA Al-Balushi, HA Kazem, MT Chaichan Case Studies in Thermal Engineering 13, 100355, 2019 | 45 | 2019 |
| Mathematical and neural network models for predicting the electrical performance of a PV/T system AHA Al‐Waeli, HA Kazem, JH Yousif, MT Chaichan, K Sopian International Journal of Energy Research 43 (14), 8100-8117, 2019 | 37 | 2019 |
| INFORMATION TECHNOLOGY DEVELOPMENT JH Yousif LAP LAMBERT Academic Publishing, Germany, 2011 | 33 | 2011 |
| Evaluation implementation of humanoid robot for autistic children: a review JH Yousif, HA Kazem, MT Chaichan International Journal of Computation and Applied Sciences 6 (1), 412-420, 2019 | 27 | 2019 |
| Social and Telepresence Robots a future of teaching JH Yousif Artificial Intelligence & Robotics Development journal 1 (1), 58-65, 2021 | 26 | 2021 |
| Wind resource assessment for nine locations in Oman using weather data‖ K Hussein A, C Miqdam T, JH Yousif, AWK H A International Journal of Computation and Applied Sciences 3 (1), 185-191, 2017 | 25 | 2017 |
| Natural Language Processing based Soft Computing Techniques JH Yousif International Journal of Computer Applications 77 (8), 43-49, 2013 | 25 | 2013 |
| IMAGE ENHANCEMENT USING NONLINEAR FILTERING BASED NEURAL NETWORK FN Hasoon, JH Yousif, NN Alttar, AR Ramli Journal of Computing 3 (5), 171-176, 2011 | 25 | 2011 |
| Arabic part-of-speech tagger based Support Vectors Machines JH Yousif, TMT Sembok 2008 International Symposium on Information Technology 3, 1-7, 2008 | 25 | 2008 |
| Prediction and evaluation of photovoltaic-thermal energy systems production using artificial neural network and experimental dataset JH Yousif, HA Kazem Case Studies in Thermal Engineering 27, 101297, 2021 | 24 | 2021 |
| A review of Image Enhancement Systems and a case study of Salt &pepper noise removing MO Al-Hatmi, JH Yousif International Journal of Computation and Applied Sciences (IJOCAAS) 2 (3 …, 2017 | 23 | 2017 |
Hussein A KazemProfessor, Sohar University, Oman, https://orcid.org/0000-0002-5034-2485Verified email at su.edu.om
