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Saima Hassan
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2020 – today
- 2024
- [j9]Aamir Fareed, Saima Hassan, Samir Brahim Belhaouari
, Zahid Halim
Elevating recommender systems: Cutting-edge transfer learning and embedding solutions. Appl. Soft Comput. 166: 112140 (2024) - 2023
- [j8]Nazar K. Hussein, Mohammed Qaraad
Enhancing feature selection with GMSMFO: A global optimization algorithm for machine learning with application to intrusion detection. J. Comput. Des. Eng. 10(4): 1363-1389 (2023) - 2021
- [j7]Muhammad Asim
A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System. IEEE Access 9: 125569-125579 (2021) - [j6]Muhammad Hamza Azam
A Novel Approach to Generate Type-1 Fuzzy Triangular and Trapezoidal Membership Functions to Improve the Classification Accuracy. Symmetry 13(10): 1932 (2021) - 2020
- [j5]Samina Amin, Muhammad Irfan Uddin
Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classification in Tweets of Dengue Disease. IEEE Access 8: 131522-131533 (2020) - [j4]Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Muhammad Fayaz, Wali Khan Mashwani
A comparative analysis of resource allocation schemes for real-time services in high-performance computing systems. Int. J. Distributed Sens. Networks 16(8): 155014772093275 (2020)
2010 – 2019
- 2019
- [c10]Mojtaba Ahmadieh Khanesar
A Novel Non-Iterative Parameter Estimation Method for Interval Type-2 Fuzzy Neural Networks Based on a Dynamic Cost Function. FUZZ-IEEE 2019: 1-6 - 2018
- [j3]Saima Hassan
Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm. Neural Comput. Appl. 29(4): 1001-1014 (2018) - 2017
- [j2]Saima Hassan
Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS. Appl. Soft Comput. 51: 130-144 (2017) - [c9]Saima Hassan, Mojtaba Ahmadieh Khanesar
Hybrid multi-objective forecasting of solar photovoltaic output using Kalman filter based interval type-2 fuzzy logic system. FUZZ-IEEE 2017: 1-6 - 2016
- [j1]Saima Hassan
Optimal design of adaptive type-2 neuro-fuzzy systems: A review. Appl. Soft Comput. 44: 134-143 (2016) - [c8]Saima Hassan, Mojtaba Ahmadieh Khanesar
A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems. SMC 2016: 155-160 - 2015
- [c7]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Mojtaba Ahmadieh Khanesar
Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System. ICONIP (1) 2015: 644-653 - [c6]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar:
Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting. IMCOM 2015: 87:1-87:5 - 2014
- [c5]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Muhammad Qamar Raza:
Electricity load and price forecasting with influential factors in a deregulated power industry. SoSE 2014: 79-84 - 2013
- [c4]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar:
Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting. IJCNN 2013: 1-6 - [c3]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar:
Bayesian Model Averaging of Load Demand Forecasts from Neural Network Models. SMC 2013: 3192-3197 - [c2]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar:
Variance-Covariance Based Weighing for Neural Network Ensembles. SMC 2013: 3214-3219 - 2012
- [c1]Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Samir B. Belhaouari
Load Forecasting Accuracy through Combination of Trimmed Forecasts. ICONIP (1) 2012: 152-159
Coauthor Index
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