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 | 85 | 2016 |
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 | 65 | 2020 |
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 | 63 | 2015 |
Intelligent methods for weather forecasting: A review H Saima, J Jaafar, S Belhaouari, TA Jillani 2011 national postgraduate conference, 1-6, 2011 | 47 | 2011 |
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 | 43 | 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 | 42 | 2020 |
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 | 37 | 2021 |
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 | 36 | 2011 |
A collaborative filtering recommendation framework utilizing social networks A Fareed, S Hassan, SB Belhaouari, Z Halim Machine Learning with Applications 14, 100495, 2023 | 25 | 2023 |
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 | 18 | 2021 |
Enhancing feature selection with GMSMFO: A global optimization algorithm for machine learning with application to intrusion detection NK Hussein, M Qaraad, S Amjad, MA Farag, S Hassan, S Mirjalili, ... Journal of Computational Design and Engineering 10 (4), 1363-1389, 2023 | 17 | 2023 |
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 | 17 | 2014 |
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 | 16 | 2020 |
Data diversity in convolutional neural network based ensemble model for diabetic retinopathy Inamullah, S Hassan, NA Alrajeh, EA Mohammed, S Khan Biomimetics 8 (2), 187, 2023 | 13 | 2023 |
A Hybrid Fuzzy Time Series Model for Forecasting. S Hassan, J Jaafar, BB Samir, TA Jilani Engineering Letters 20 (1), 2012 | 13 | 2012 |
Prediction of sunspots using fuzzy logic: A triangular membership function-based fuzzy C-means approach MH Azam, MH Hasan, SJA Kadir, S Hassan International Journal of Advanced Computer Science and Applications 12 (2), 2021 | 11 | 2021 |
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 | 11 | 2012 |
Pft: A novel time-frequency decomposition of bold fMRI signals for autism spectrum disorder detection SB Belhaouari, A Talbi, S Hassan, D Al-Thani, M Qaraqe Sustainability 15 (5), 4094, 2023 | 10 | 2023 |
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 | 10 | 2013 |
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, 1001-1014, 2018 | 9 | 2018 |