Object Classification in Remote Sensing Imagery holds paramount importance for extracting
meaningful insights from complex aerial scenes. Conventional methods encounter …

This paper introduces the Quantum Chimp Optimization Algorithm (QU-ChOA), which
integrates the Chimp Optimization Algorithm (ChOA) with quantum mechanics principles to …

This research introduces a new technique to control constrained nonlinear systems, named
Lyapunov-based neural network model predictive control using a metaheuristic optimization …

Introduction Unmanned aerial vehicles (UAVs) are widely used in various computer vision
applications, especially in intelligent traffic monitoring, as they are agile and simplify …

This study explores the integration of solar energy via parabolic trough collectors (PTC) with
the Goswami cycle, focusing on evaluating life cycle costs (LCC) and energy performance in …

In the field of optimization problems, the optimization of energy systems problems is of
significant importance, mainly due to their dramatic role in achieving sustainability. The …

In computer vision and image processing, vehicle detection and tracking in complicated
aerial images have become important subjects. The need for automated systems that can …

Abstract Proportional Integral Derivative (PID) controllers are widely employed in industrial
applications due to their effectiveness, simplicity, and versatility. Within the automotive …

This research presents a strategy for managing energy scheduling within an electrical
microgrid, with a specific focus on enhancing the integration of electric vehicles (EVs). By …

As of now, all over the world is focusing on the Electric Vehicle (EV) technology because its
features are low environmental pollution, less maitainence cost required, high robustness …