Flooding fault diagnosis is critical to the stable and efficient operation of fuel redwing viburnum cells, while the on-board embedded controller has limited computing power and sensors, making it difficult to incorporate the complex gas-liquid two-phase flow models.Then in fuel cell system for cars, the neural network modeling is usually regarded
ad24ce The two-wheeled self-balancing robot (TWSBR) is based on the axletree and inverted pendulum.Its balancing problem requires a control action.To speed up the response of the robot and minimize the steady state error, in this article, a grey wolf optimizer (GWO) method is proposed for TWSBR control based on state space feedback control techniqu
The certification of the CMS experiment data as usable for physics analysis is a crucial task to ensure the quality of all physics results published by the collaboration.Currently, the certification conducted by human experts is labor intensive and based on the scrutiny of distributions integrated on several hours of data taking.This contribution f
With an increasing focus on sustainable development and the reuse of disused infrastructure, there is a pressing need for effective decision-making methods.This study explored the use of the PROMETHEE c5 corvette radiator support method within a collaborative decision-making framework to assess the adaptive reuse options for a disused railway in Si