This paper introduces a data-driven approach employing the Light Gradient Boosting Machine (LightGBM) algorithm as a controller for robotic manipulators.By harnessing data-driven techniques and machine learning, the method captures the intricate dynamics, uncertainties, and nonlinearities inherent in robotic manipulators, including variations in in
Abstract Visual systems have evolved to discriminate between different wavelengths of light.The ability to perceive color, or specific light poise pads in bulk wavelengths, is important as color conveys crucial information about both biotic and abiotic features in the environment.Indeed, different wavelengths of light can drive distinct patterns of
Background: Magnesium alloys (Mg-alloys) have gained significant attention in recent years as a potential bioactive material for clinical applications.The incorporation of rare earth elements (REEs) into Mg-alloys has been of particular interest due to their potential to improve both mechanical and biological properties.Although there are diverse r
We investigate some new properties of the model of a pure bipartite system in dissipative environments.The mathematical model of bipartite system with the interaction cavity field in the presence of dissipative environment is designed.The systems is assumed to be initially in the Warner state.The system is analytically solved using master equation