Abstract: This study proposes a strategy based on pre-training and fine-tuning aimed at enhancing model performance and training speed. Initially, the model is pre-trained on natural images to learn a ...

Abstract: This paper proposes a method to find a parameter that minimizes the average compressor power for R134a cycle using a univariate dynamic encoding algorithm for searches. optimizing modeling ...