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Milano 2023 by Rabia waheed is a document available to read on EtoBox.

What is Milano 2023 about?

This paper presents a Bayesian Hyperparameter Optimization (BHO) approach for enhancing the accuracy of State of Charge (SOC) estimation using a stacked Bidirectional Long Short-Term Memory (BiLSTM) neural network. The method is validated on public datasets, demonstrating improved prediction accuracy and reduced computational effort compared to traditional techniques. Additionally, the study introduces a new metric, Floating-point Operations (FLOPs), to assess the computational resources required for the mo

Author
Rabia waheed
Language
EN