This research focused on the helicopter turboshaft engine dynamic model, identifying task
solving in unsteady and transient modes (engine starting and acceleration) based on sensor …

This research focuses on evaluating and comparing different DC-DC converter designs,
specifically for low power applications. The study considers inductor-based, switching …

Predictive maintenance and health management are crucial means to enhance the
operational reliability and safety of gas turbines, with time series condition assessment …

This work extensively develops and evaluates an XGBoost model for predictive analysis of
gas turbine performance. The goal is to construct a robust prediction model by utilizing …

The enormous amount of solar power and its state-of-the-art capturing technology that
produces electricity, increases the grid interconnection rate of photovoltaic (PV) plants. Prior …

The recent developments in soft computing cannot be complete without noting the
contributions of artificial neural machine learning systems that draw inspiration from real …

This research presents a mathematical model designed to optimize the helicopter turboshaft
engines parametric tuning by accurately predicting engine performance characteristics …

This research study presents NotFyCEX-a price notification systems model based on
Internet of Things (IoT) and Blockchain technology for reporting important trends in a …

Smart meter billing systems represent the modern state-of-the-art in pre-paid billing as the
move from estimated bills within the Nigerian state now, becomes a priority to circumvent the …