This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...

Many controlled processes, such as biochemical ones, are repetitive, similar to batch-organized processes. They generate Optimal Control Problems (OCPs) solved by optimal controllers, which often ...

School of Information Science and Engineering, Northeastern University, Shenyang 110819, China Liaoning Key Laboratory of Intelligent Diagnosis and Safety for Metallurgical Industry, Northeastern ...

This study proposes a multiobjective optimization design method for the bed structure of CNC gantry machine tools to enhance their mechanical performance. A sensitivity analysis was first conducted to ...

Abstract: With the background of coke oven heating control system, a genetic algorithm based CMAC (Cerebellar Model Articulation Controller) and PID compound control method is presented to control the ...

Abstract: As the core equipment for AC/DC conversion in ultra-high voltage direct current (UHVDC) transmission systems, thyristor converter valves are the main source of losses in converter stations.

At NYU Grossman School of Medicine, we frequently post new opportunities for postdoctoral fellows to join our team of world-class biomedical investigators. If you are interested in applying for an ...

The fault diagnosis of the inverter is fundamental to energy intelligence. Due to the complex characteristics of the inverter (e.g., high-dimensional decision and poor stability), it is challenging to ...

Neurons in sensory cortex exhibit a remarkable capacity to maintain stable firing rates despite large fluctuations in afferent activity levels. However, sudden peripheral deafferentation in adulthood ...

In view of the dynamics of the dam safety monitoring data, the sensitivity to time and space, and the nonlinearity, it has been proposed to use the firefly algorithm to search to determine the delay ...