A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting S Hassan, A Khosravi, J Jaafar, MA Khanesar International Journal of Electrical Power & Energy Systems 82, 1-10, 2016 | 70 | 2016 |
Examining performance of aggregation algorithms for neural network-based electricity demand forecasting S Hassan, A Khosravi, J Jaafar International Journal of Electrical Power & Energy Systems 64, 1098-1105, 2015 | 49 | 2015 |
Optimal design of adaptive type-2 neuro-fuzzy systems: A review S Hassan, MA Khanesar, E Kayacan, J Jaafar, A Khosravi Applied Soft Computing 44, 134-143, 2016 | 35 | 2016 |
Intelligent methods for weather forecasting: A review H Saima, J Jaafar, S Belhaouari, TA Jillani 2011 National Postgraduate Conference, 1-6, 2011 | 29 | 2011 |
ARIMA based Interval Type-2 Fuzzy Model for Forecasting S Hassan, J Jaafar, BB Samir, TA Jillani International Journal of Computer Applications 28 (3), 17-21, 2011 | 27 | 2011 |
Recurrent neural networks with TF-IDF embedding technique for detection and classification in tweets of dengue disease S Amin, MI Uddin, S Hassan, A Khan, N Nasser, A Alharbi, H Alyami Ieee Access 8, 131522-131533, 2020 | 23 | 2020 |
Electricity load and price forecasting with influential factors in a deregulated power industry S Hassan, A Khosravi, J Jaafar, MQ Raza 2014 9th International Conference on System of Systems Engineering (SOSE), 79-84, 2014 | 16 | 2014 |
A Hybrid Fuzzy Time Series Model for Forecasting. S Hassan, J Jaafar, BB Samir, TA Jilani Engineering Letters 20 (1), 2012 | 13 | 2012 |
Identical performance from distinct conventional electromagnetic bandgap structures SMS Hassan, MN Mollah IET Microwaves, Antennas & Propagation 10 (12), 1251-1258, 2016 | 12 | 2016 |
Fuzzy type-1 triangular membership function approximation using fuzzy C-means MH Azam, MH Hasan, S Hassan, SJ Abdulkadir 2020 International Conference on Computational Intelligence (ICCI), 115-120, 2020 | 10 | 2020 |
Load forecasting accuracy through combination of trimmed forecasts S Hassan, A Khosravi, J Jaafar, SB Belhaouari International Conference on Neural Information Processing, 152-159, 2012 | 9 | 2012 |
A novel genetic trajectory planning algorithm with variable population size for multi-UAV-assisted mobile edge computing system M Asim, WK Mashwani, SB Belhaouari, S Hassan IEEE Access 9, 125569-125579, 2021 | 8 | 2021 |
Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting S Hassan, A Khosravi, J Jaafar The 2013 International Joint Conference on Neural Networks (IJCNN), 1-6, 2013 | 8 | 2013 |
An improved heuristic-based fuzzy time series forecasting model using genetic algorithm TA Jilani, U Amjad, J Jaafar, S Hassan 2012 International Conference on Computer & Information Science (ICCIS) 1 …, 2012 | 8 | 2012 |
Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS S Hassan, MA Khanesar, J Jaafar, A Khosravi Applied Soft Computing 51, 130-144, 2017 | 7 | 2017 |
Hybrid model for the training of interval type-2 fuzzy logic system S Hassan, A Khosravi, J Jaafar, MA Khanesar International Conference on Neural Information Processing, 644-653, 2015 | 7 | 2015 |
Improving load forecasting accuracy through combination of best forecasts S Hassan, A Khosravi, J Jaafar 2012 IEEE international conference on power system technology (POWERCON), 1-6, 2012 | 7 | 2012 |
A Novel approach to generate type-1 fuzzy triangular and trapezoidal membership functions to improve the classification accuracy MH Azam, MH Hasan, S Hassan, SJ Abdulkadir Symmetry 13 (10), 1932, 2021 | 6 | 2021 |
A comparative analysis of resource allocation schemes for real-time services in high-performance computing systems MS Qureshi, MB Qureshi, M Fayaz, WK Mashwani, SB Belhaouari, ... International Journal of Distributed Sensor Networks 16 (8), 1550147720932750, 2020 | 6 | 2020 |
Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm S Hassan, MA Khanesar, J Jaafar, A Khosravi Neural Computing and Applications 29 (4), 1001-1014, 2018 | 6 | 2018 |