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Saima Hassan
Saima Hassan
Assistant Professor at the Institute of Computing Kohat University of Science
Verified email at kust.edu.pk
Title
Cited by
Cited by
Year
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
842016
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
612015
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
512020
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
412016
Intelligent methods for weather forecasting: A review
H Saima, J Jaafar, S Belhaouari, TA Jillani
2011 national postgraduate conference, 1-6, 2011
382011
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
332011
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
262021
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
262020
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
172014
A Hybrid Fuzzy Time Series Model for Forecasting.
S Hassan, J Jaafar, BB Samir, TA Jilani
Engineering Letters 20 (1), 2012
132012
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
122021
Application of texture-based features for text non-text classification in printed document images with novel feature selection algorithm
S Ghosh, SKK Hassan, AH Khan, A Manna, S Bhowmik, R Sarkar
Soft Computing, 1-19, 2022
112022
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
112020
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
102012
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
92018
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
92013
Load forecasting accuracy through combination of trimmed forecasts
S Hassan, A Khosravi, J Jaafar, SB Belhaouari
Neural Information Processing: 19th International Conference, ICONIP 2012 …, 2012
92012
Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS
S Hassan, MA Khanesar, J Jaafar, A Khosravi
Applied Soft Computing 51, 130-144, 2017
82017
Bayesian model averaging of load demand forecasts from neural network models
S Hassan, A Khosravi, J Jaafar
2013 IEEE International Conference on Systems, Man, and Cybernetics, 3192-3197, 2013
72013
Improving load forecasting accuracy through combination of best forecasts
S Hassan, A Khosravi, J Jaafar
2012 IEEE international conference on power system technology (POWERCON), 1-6, 2012
72012
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Articles 1–20