Saima Hassan

19 papers B 6Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Elevating recommender systems: Cutting-edge transfer learning and embedding solutions.
Appl. Soft Comput.
Aamir Fareed, Saima Hassan, Samir Brahim Belhaouari, Zahid Halim
2023 J jnl
Enhancing feature selection with GMSMFO: A global optimization algorithm for machine learning with application to intrusion detection.
J. Comput. Des. Eng.
Nazar K. Hussein, Mohammed Qaraad, Souad Amjad, M. A. Farag, Saima Hassan, Seyedali Mirjalili, Mostafa A. El-Hosseini
2021 J jnl
A Novel Approach to Generate Type-1 Fuzzy Triangular and Trapezoidal Membership Functions to Improve the Classification Accuracy.
Symmetry
Muhammad Hamza Azam, Mohd Hilmi Hasan, Saima Hassan, Said Jadid Abdulkadir
2021 J jnl
A Novel Genetic Trajectory Planning Algorithm With Variable Population Size for Multi-UAV-Assisted Mobile Edge Computing System.
IEEE Access
Muhammad Asim, Wali Khan Mashwani, Samir Brahim Belhaouari, Saima Hassan
2020 J jnl
A comparative analysis of resource allocation schemes for real-time services in high-performance computing systems.
Int. J. Distributed Sens. Networks
Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Muhammad Fayaz, Wali Khan Mashwani, Samir Brahim Belhaouari, Saima Hassan, Asadullah Shah
2020 J jnl
Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classification in Tweets of Dengue Disease.
IEEE Access
Samina Amin, Muhammad Irfan Uddin, Saima Hassan, Atif Khan, Nidal Nasser, Abdullah Alharbi, Hashem Alyami
2019 B conf
A Novel Non-Iterative Parameter Estimation Method for Interval Type-2 Fuzzy Neural Networks Based on a Dynamic Cost Function.
FUZZ-IEEE
Mojtaba Ahmadieh Khanesar, Saima Hassan, Erik Cambria, Erdal Kayacan
2018 J jnl
Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm.
Neural Comput. Appl.
Saima Hassan, Mojtaba Ahmadieh Khanesar, Jafreezal Jaafar, Abbas Khosravi
2017 J jnl
Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS.
Appl. Soft Comput.
Saima Hassan, Mojtaba Ahmadieh Khanesar, Jafreezal Jaafar, Abbas Khosravi
2017 B conf
Hybrid multi-objective forecasting of solar photovoltaic output using Kalman filter based interval type-2 fuzzy logic system.
FUZZ-IEEE
Saima Hassan, Mojtaba Ahmadieh Khanesar, Amin Hajizadeh, Abbas Khosravi
2016 B conf
A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems.
SMC
Saima Hassan, Mojtaba Ahmadieh Khanesar, Jafreezal Jaafar, Abbas Khosravi
2016 J jnl
Optimal design of adaptive type-2 neuro-fuzzy systems: A review.
Appl. Soft Comput.
Saima Hassan, Mojtaba Ahmadieh Khanesar, Erdal Kayacan, Jafreezal Jaafar, Abbas Khosravi
2015 — conf
Hybrid Model for the Training of Interval Type-2 Fuzzy Logic System.
ICONIP (1)
Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Mojtaba Ahmadieh Khanesar
2015 — conf
Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting.
IMCOM
Saima Hassan, Abbas Khosravi, Jafreezal Jaafar
2014 — conf
Electricity load and price forecasting with influential factors in a deregulated power industry.
SoSE
Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Muhammad Qamar Raza
2013 B conf
Bayesian Model Averaging of Load Demand Forecasts from Neural Network Models.
SMC
Saima Hassan, Abbas Khosravi, Jafreezal Jaafar
2013 B conf
Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting.
IJCNN
Saima Hassan, Abbas Khosravi, Jafreezal Jaafar
2013 B conf
Variance-Covariance Based Weighing for Neural Network Ensembles.
SMC
Saima Hassan, Abbas Khosravi, Jafreezal Jaafar
2012 — conf
Load Forecasting Accuracy through Combination of Trimmed Forecasts.
ICONIP (1)
Saima Hassan, Abbas Khosravi, Jafreezal Jaafar, Samir B. Belhaouari