| Learning of interval and general type-2 fuzzy logic systems using simulated annealing: Theory and practice M Almaraashi, R John, A Hopgood, S Ahmadi Information Sciences 360, 21-42, 2016 | 51 | 2016 |
| Tuning of type-2 fuzzy systems by simulated annealing to predict time series M Almaraashi, R John Proceedings of the world Congress on Engineering 2, 976-980, 2011 | 37 | 2011 |
| Investigating the impact of feature selection on the prediction of solar radiation in different locations in Saudi Arabia M Almaraashi Applied Soft Computing 66, 250-263, 2018 | 32 | 2018 |
| Time series forecasting using a TSK fuzzy system tuned with simulated annealing M Almaraashi, R John, S Coupland, A Hopgood International Conference on Fuzzy Systems, 1-6, 2010 | 29 | 2010 |
| A cooperative binary-clustering framework based on majority voting for Twitter sentiment analysis M Bibi, W Aziz, M Almaraashi, IH Khan, MSA Nadeem, N Habib IEEE Access 8, 68580-68592, 2020 | 19 | 2020 |
| Short-term prediction of solar energy in Saudi Arabia using automated-design fuzzy logic systems M Almaraashi PloS one 12 (8), e0182429, 2017 | 17 | 2017 |
| Designing generalised type-2 fuzzy logic systems using interval type-2 fuzzy logic systems and simulated annealing M Almaraashi, R John, S Coupland 2012 IEEE International Conference on Fuzzy Systems, 1-8, 2012 | 17 | 2012 |
| A novel phase space reconstruction-(PSR-) based predictive algorithm to forecast atmospheric particulate matter concentration SA Ali Shah, W Aziz, MS Ahmed Nadeem, M Almaraashi, SO Shim, ... Scientific Programming 2019, 2019 | 12 | 2019 |
| Electrical engineering and intelligent systems SI Ao, L Gelman Springer Science & Business Media, 2012 | 9 | 2012 |
| Learning of Type-2 Fuzzy Logic Systems using Simulated Annealing. M Almaraashi De Montfort University, 2012 | 9 | 2012 |
| Tuning fuzzy systems by simulated annealing to predict time series with added noise M Almaraashi, R John 2010 UK Workshop on Computational Intelligence (UKCI), 1-5, 2010 | 9 | 2010 |
| A hybrid model for forecasting of particulate matter concentrations based on multiscale characterization and machine learning techniques SAA Shah, W Aziz, M Almaraashi, MSA Nadeem, N Habib, SO Shim Mathematical Biosciences and Engineering 18 (3), 1992-2009, 2021 | 7 | 2021 |
| Granular-based dimension reduction for solar radiation prediction using adaptive memory programming AR Hedar, AE Abdel-Hakim, M Almaraashi Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 6 | 2016 |
| Optimization of interval type-2 fuzzy logic systems using tabu search algorithms M Almaraashi, AR Hedar 2014 Sixth World Congress on Nature and Biologically Inspired Computing …, 2014 | 5 | 2014 |
| Tuning type-2 fuzzy systems by simulated annealing to estimate maintenance cost M Almaraashi, R John, S Ahmadi UKCI 2011 Accepted Papers, 68, 2011 | 5 | 2011 |
| Evolutionary algorithms enhanced with quadratic coding and sensing search for global optimization AR Hedar, W Deabes, M Almaraashi, HH Amin Mathematical and Computational Applications 25 (1), 7, 2020 | 4 | 2020 |
| Electrical engineering and intelligent systems book M Almaraashi, R John, S Ahmadi Learning of Type-2 Fuzzy Logic Systems by Simulated Annealing with Adaptive …, 2012 | 4 | 2012 |
| Global sensing search for nonlinear global optimization AR Hedar, W Deabes, HH Amin, M Almaraashi, M Fukushima Journal of Global Optimization 82 (4), 753-802, 2022 | 3 | 2022 |
| Tuning type-2 fuzzy systems by simulated annealing to estimate maintenance cost,” in proceedings the UKCI 2011 M Almaraashi, R John Manchester, Sep, 2011 | 3 | 2011 |
| Hybrid Machine Learning for Solar Radiation Prediction in Reduced Feature Spaces AR Hedar, M Almaraashi, AE Abdel-Hakim, M Abdulrahim Energies 14 (23), 7970, 2021 | 2 | 2021 |
Robert JohnProfessor of Operational Research and Computer Science, University of NottinghamDirección de correo verificada de nottingham.ac.uk
