Saima Hassan

According to our database, Saima Hassan authored at least 18 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

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., July, 2023

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

A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System.

Muhammad Asim, Wali Khan Mashwani, Samir Brahim Belhaouari, Saima Hassan

IEEE Access, 2021

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

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, Nidal Nasser, Abdullah Alharbi, Hashem Alyami

IEEE Access, 2020

2019

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

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018

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

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

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

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

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

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

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015

Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting.

Saima Hassan, Abbas Khosravi, Jafreezal Jaafar

Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication, 2015

Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System.

Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Mojtaba Ahmadieh Khanesar

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

Electricity load and price forecasting with influential factors in a deregulated power industry.

Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Muhammad Qamar Raza

Proceedings of the 9th International Conference on System of Systems Engineering, 2014

2013

Variance-Covariance Based Weighing for Neural Network Ensembles.

Saima Hassan, Abbas Khosravi, Jafreezal Jaafar

Proceedings of the IEEE International Conference on Systems, 2013

Bayesian Model Averaging of Load Demand Forecasts from Neural Network Models.

Saima Hassan, Abbas Khosravi, Jafreezal Jaafar

Proceedings of the IEEE International Conference on Systems, 2013

Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting.

Saima Hassan, Abbas Khosravi, Jafreezal Jaafar

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Load Forecasting Accuracy through Combination of Trimmed Forecasts.

Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Samir B. Belhaouari

Proceedings of the Neural Information Processing - 19th International Conference, 2012