Model training using Logistic Regression, LSTM, and BERT. Evaluation of model performance using ... Matplotlib and Seaborn utilization for creating diagrams/charts showing: Count of fake and real news ...

Based on the deep learning method, the convolutional neural network model is used to extract the newly produced ... current and power at each sampling point are as follows: Figure 1. The diagram for ...

The researchers created four machine learning (ML) models to predict storm surges, significantly improving forecasting accuracy when integrated with the Finite Volume Community Ocean Model (FVCOM-ML).

Get Instant Summarized Text (Gist) A self-attention neural network model enables rapid and accurate prediction of radiation shielding designs for space reactors, achieving less than 3% deviation ...

In this paper, we propose a hybrid QML model to predict PAEE which consists of a classical long short-term memory (LSTM) model integrated with a variational quantum circuit (VQC). This model, which we ...