Shahab S. Band
Shahab S. Band
Professor of Computer Science, NYUST (Taiwan), Former Researcher NTNU (Norway)
Verified email at - Homepage
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A systematic literature review on agile requirements engineering practices and challenges
I Inayat, SS Salim, S Marczak, M Daneva, S Shamshirband
Computers in human behavior 51, 915-929, 2015
Machine Learning-Based Sentiment Analysis for Twitter Accounts
A Hasan, S Moin, A Karim, S Shamshirband
Mathematical and Computational Applications 23 (1), 11, 2018
Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications
S Al-Janabi, I Al-Shourbaji, M Shojafar, S Shamshirband
Egyptian Informatics Journal 18 (2), 113-122, 2017
A support vector machine–firefly algorithm-based model for global solar radiation prediction
L Olatomiwa, S Mekhilef, S Shamshirband, K Mohammadi, D Petković, ...
Solar Energy 115, 632-644, 2015
Survey of computational intelligence as basis to big flood management: Challenges, research directions and future work
F Fotovatikhah, M Herrera, S Shamshirband, K Chau, ...
Engineering Applications of Computational Fluid Mechanics 12 (1), 411-437, 2018
Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran
R Moazenzadeh, B Mohammadi, S Shamshirband, K Chau
Engineering Applications of Computational Fluid Mechanics 12 (1), 584-597, 2018
A survey on indexing techniques for big data: taxonomy and performance evaluation
A Gani, A Siddiqa, S Shamshirband, F Hanum
Knowledge and information systems 46 (2), 241-284, 2016
Sustainable business models: A review
S Nosratabadi, A Mosavi, S Shamshirband, EK Zavadskas, ...
Sustainability 11 (6), 1663, 2019
A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation
K Mohammadi, S Shamshirband, CW Tong, M Arif, D Petković, S Ch
Energy Conversion and Management 92, 162-171, 2015
State of the art of machine learning models in energy systems, a systematic review
A Mosavi, M Salimi, S Faizollahzadeh Ardabili, T Rabczuk, ...
Energies 12 (7), 1301, 2019
A survey of big data management: Taxonomy and state-of-the-art
A Siddiqa, I Abaker Targio Hashem, I Yaqoob, M Marjani, ...
Journal of Network and Computer Applications 71, 151-166, 2016
Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission
D Petković, Ž Ćojbašić, V Nikolić, S Shamshirband, MLM Kiah, NB Anuar, ...
Energy 64, 868-874, 2014
Support vector regression based prediction of global solar radiation on a horizontal surface
K Mohammadi, S Shamshirband, MH Anisi, KA Alam, D Petković
Energy Conversion and Management 91, 433-441, 2015
Computational intelligence approach for modeling hydrogen production: A review
S Faizollahzadeh Ardabili, B Najafi, S Shamshirband, B Minaei Bidgoli, ...
Engineering Applications of Computational Fluid Mechanics 12 (1), 438-458, 2018
Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions
SN Fallah, RC Deo, M Shojafar, M Conti, S Shamshirband
Energies 11 (3), 596, 2018
Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters
S Shamshirband, E Jafari Nodoushan, JE Adolf, A Abdul Manaf, A Mosavi, ...
Engineering Applications of Computational Fluid Mechanics 13 (1), 91-101, 2019
A deep learning ensemble approach for diabetic retinopathy detection
S Qummar, FG Khan, S Shah, A Khan, S Shamshirband, ZU Rehman, ...
Ieee Access 7, 150530-150539, 2019
Copy-move forgery detection: survey, challenges and future directions
NB Abd Warif, AWA Wahab, MYI Idris, R Ramli, R Salleh, ...
Journal of Network and Computer Applications 75, 259-278, 2016
Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria
L Olatomiwa, S Mekhilef, S Shamshirband, D Petković
Renewable and Sustainable Energy Reviews 51, 1784-1791, 2015
Cooperative game theoretic approach using fuzzy Q-learning for detecting and preventing intrusions in wireless sensor networks
S Shamshirband, A Patel, NB Anuar, MLM Kiah, A Abraham
Engineering Applications of Artificial Intelligence 32, 228-241, 2014
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