Two model-agnostic AIA pipelines for scoring explainability, safety, and security across domains.
Real-time AI-driven decision support system (RADS) for cybersecurity, prediction, and optimization in wastewater treatment.
Deep learning framework using LSTM networks to predict commodity production considering outlier events' impact on the global economy.
Investigation of peak demand reduction potential in commercial buildings through HVAC and lighting adjustments in microgrid environments.
Comprehensive applications of machine learning techniques in precision agriculture and smart farming systems.
Design and implementation of an economical and compact MPPT system using SEPIC converter with Incremental Conductance method.