Shahaboddin Shamshirband

Top papers

• A Deep Learning Ensemble Approach for Diabetic Retinopathy Detection

  Sehrish Qummar, Fiaz Gul Khan, Sajid Shah, et al.·2019·IEEE Access
  ↗ 603OA
• State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

  Amir Mosavi, Mohsen Salimi, Sina Ardabili, et al.·2019·Energies
  ↗ 543OA
• A systematic literature review on agile requirements engineering practices and challenges

  Irum Inayat, Siti Salwah Salim, Sabrina Marczak, et al.·2014·Computers in Human Behavior
  ↗ 516OA
• Machine Learning-Based Sentiment Analysis for Twitter Accounts

  Ali Hussein Hasan, Sana Moin, Ahmad Karim, et al.·2018·Mathematical and Computational Applications
  ↗ 447OA
• A support vector machine–firefly algorithm-based model for global solar radiation prediction

  Lanre Olatomiwa, Saad Mekhilef, Shahaboddin Shamshirband, et al.·2015·Solar Energy
  ↗ 351
• Survey of computational intelligence as basis to big flood management: challenges, research directions and future work

  Farnaz Fotovatikhah, Manuel Herrera, Shahaboddin Shamshirband, et al.·2018·Engineering Applications of Computational Fluid Mechanics
  ↗ 346OA
• Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method

  Farzaneh Sajedi Hosseini, Bahram Choubin, Amir Mosavi, et al.·2019·The Science of The Total Environment
  ↗ 342
• Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran

  Roozbeh Moazenzadeh, Babak Mohammadi, Shahaboddin Shamshirband, et al.·2018·Engineering Applications of Computational Fluid Mechanics
  ↗ 327OA
• Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications

  Samaher Al-Janabi, Ibrahim Al–Shourbaji, Mohammad Shojafar, et al.·2016·Egyptian Informatics Journal
  ↗ 325OA
• Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting

  Halit Apaydın, Hajar Feizi, Mohammad Taghi Sattari, et al.·2020·Water
  ↗ 287OA
• Integrated machine learning methods with resampling algorithms for flood susceptibility prediction

  Esmaeel Dodangeh, Bahram Choubin, Ahmad Najafi Eigdir, et al.·2019·The Science of The Total Environment
  ↗ 268
• Application of extreme learning machine for short term output power forecasting of three grid-connected PV systems

  Monowar Hossain, Saad Mekhilef, Malihe Danesh, et al.·2017·Journal of Cleaner Production
  ↗ 267