Load Forecasting Accuracy through Combination of Trimmed Forecasts. - Saima Hassan; Abbas Khosravi; Jafreezal Jaafar; Samir B. Belhaouari (ICONIP (1), 2012)

Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting. - Saima Hassan; Abbas Khosravi; Jafreezal Jaafar (IJCNN, 2013)

Bayesian Model Averaging of Load Demand Forecasts from Neural Network Models. - Saima Hassan; Abbas Khosravi; Jafreezal Jaafar (SMC, 2013)

Variance-Covariance Based Weighing for Neural Network Ensembles. - Saima Hassan; Abbas Khosravi; Jafreezal Jaafar (SMC, 2013)

Electricity load and price forecasting with influential factors in a deregulated power industry. - Saima Hassan; Abbas Khosravi; Jafreezal Jaafar; Muhammad Qamar Raza (SoSE, 2014)

Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System. - Saima Hassan; Abbas Khosravi; Jafreezal Jaafar; Mojtaba Ahmadieh Khanesar (ICONIP (1), 2015)

Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting. - Saima Hassan; Abbas Khosravi; Jafreezal Jaafar (IMCOM, 2015)

A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems. - Saima Hassan; Mojtaba Ahmadieh Khanesar; Jafreezal Jaafar; Abbas Khosravi (SMC, 2016)

Optimal design of adaptive type-2 neuro-fuzzy systems: A review. - Saima Hassan; Mojtaba Ahmadieh Khanesar; Erdal Kayacan; Jafreezal Jaafar; Abbas Khosravi (Appl. Soft Comput., 2016)

Hybrid multi-objective forecasting of solar photovoltaic output using Kalman filter based interval type-2 fuzzy logic system. - Saima Hassan; Mojtaba Ahmadieh Khanesar; Amin Hajizadeh; Abbas Khosravi (FUZZ-IEEE, 2017)

Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS. - Saima Hassan; Mojtaba Ahmadieh Khanesar; Jafreezal Jaafar; Abbas Khosravi (Appl. Soft Comput., 2017)

Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm. - Saima Hassan; Mojtaba Ahmadieh Khanesar; Jafreezal Jaafar; Abbas Khosravi (Neural Comput. Appl., 2018)

A Novel Non-Iterative Parameter Estimation Method for Interval Type-2 Fuzzy Neural Networks Based on a Dynamic Cost Function. - Mojtaba Ahmadieh Khanesar; Saima Hassan; Erik Cambria; Erdal Kayacan (FUZZ-IEEE, 2019)

Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classification in Tweets of Dengue Disease. - Samina Amin; Muhammad Irfan Uddin; Saima Hassan; Atif Khan 002; Nidal Nasser; Abdullah Alharbi; Hashem Alyami (IEEE Access, 2020)

A comparative analysis of resource allocation schemes for real-time services in high-performance computing systems. - Muhammad Shuaib Qureshi; Muhammad Bilal Qureshi; Muhammad Fayaz; Wali Khan Mashwani; Samir Brahim Belhaouari; Saima Hassan; Asadullah Shah (Int. J. Distributed Sens. Networks, 2020)

A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System. - Muhammad Asim 002; Wali Khan Mashwani; Samir Brahim Belhaouari; Saima Hassan (IEEE Access, 2021)

A Novel Approach to Generate Type-1 Fuzzy Triangular and Trapezoidal Membership Functions to Improve the Classification Accuracy. - Muhammad Hamza Azam; Mohd Hilmi Hasan; Saima Hassan; Said Jadid Abdulkadir (Symmetry, 2021)

Enhancing feature selection with GMSMFO: A global optimization algorithm for machine learning with application to intrusion detection. - Nazar K. Hussein; Mohammed Qaraad; Souad Amjad; M. A. Farag; Saima Hassan; Seyedali Mirjalili; Mostafa A. El-Hosseini (J. Comput. Des. Eng., 2023)

Elevating recommender systems: Cutting-edge transfer learning and embedding solutions. - Aamir Fareed; Saima Hassan; Samir Brahim Belhaouari; Zahid Halim (Appl. Soft Comput., 2024)