Shahab S. Band
National Yunlin University of Science and Technology(TW)
Publications by Year
Research Areas
Energy Load and Power Forecasting, Stock Market Forecasting Methods, Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies, COVID-19 diagnosis using AI
Most-Cited Works
- → Accurate brain tumor detection using deep convolutional neural network(2022)352 cited
- → Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues(2022)323 cited
- → A review on deep learning approaches in healthcare systems: Taxonomies, challenges, and open issues(2020)308 cited
- → A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources(2019)302 cited
- → Flash Flood Susceptibility Modeling Using New Approaches of Hybrid and Ensemble Tree-Based Machine Learning Algorithms(2020)237 cited
- → Application of explainable artificial intelligence in medical health: A systematic review of interpretability methods(2023)221 cited
- → AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems(2021)204 cited
- → Principal component analysis to study the relations between the spread rates of COVID-19 in high risks countries(2020)182 cited
- → A New Online Learned Interval Type-3 Fuzzy Control System for Solar Energy Management Systems(2021)179 cited
- → SmartBlock-SDN: An Optimized Blockchain-SDN Framework for Resource Management in IoT(2021)175 cited