A5000492455- Advanced Control Systems Design
- Protein Structure and Dynamics
- Flood Risk Assessment and Management
- Computational Drug Discovery Methods
- Machine Learning in Bioinformatics
- Advanced Control Systems Optimization
- Dam Engineering and Safety
- Metaheuristic Optimization Algorithms Research
- Extremum Seeking Control Systems
- Hydrological Forecasting Using AI
- Vehicle License Plate Recognition
Universidade Federal do Paraná
2022-2024
This paper addresses the challenge of predicting dam level rise in hydroelectric power plants during floods and proposes a solution using an automatic hyperparameters tuning temporal fusion transformer (AutoTFT) model. Hydroelectric play critical role long-term energy planning, accurate prediction is crucial for maintaining operational safety optimizing generation. The AutoTFT model applied to analyze time series data representing water storage capacity plant, providing valuable insights...
This work presents a performance comparison between the newly developed Manta Ray Foraging Optimization (MRFO) and two different variants created for tuning decentralized fractional order proportional-integral-derivative (FOPID) controller multiple-input multiple-output (MIMO) application. The application consists of ball mill pulverizing system to pulverize coal maximize fuel efficiency. MRFO its applications have task finding optimal variable values control system's temperature pressure....