## 3 Results
\begin{tabular}{c c c c c c c} \hline
**Author, Year,** & **Dataset Size** & **Target Features** & **AI Model** & **Performance** & **Performance** \\
**Country, Ref.** & **Country** & **Target Features** & **AI Model** & **Index Name** & **Value (Unit)** \\ \hline Quinteros-Cartaya & Synthetic & & & & Synthetic data: & Synthetic data: \\ et al., & 36,800 waveforms & Magnitude & CNN & RMS & 0.06 \\
2024, Germany, [42] & \begin{tabular}{c} IPOC \\ 101,601 earthquakes \\ Chile \\ \end{tabular} & Magnitude & \
\begin{tabular}{c} Computed \\ Boosting Regression Tree \\ \end{tabular} & RMSE & 0.117 \\ \hline \multirow{4}{*}{
\begin{tabular}{c} [PERSON] et al., \\ 2021, China, [44] \\ \end{tabular} } & CSES & & & 3 \(<\) \(M\) \(<\) 5.9: \\ & 21,700 synthetic & & Fully Convolutional & Mean, \(\sigma\) & \(-\)0.017, 0.21 \\
2021, China, [44] & \begin{tabular}{c} East/Hunguakes \\ China \\ \end{tabular} & Magnitude & \
\begin{tabular}{c} Computed \\ Network (FCN) \\ \end{tabular} & \(2.3\times\) \(M\) \(<\) 3.5: & 2.3 \(<\) \(M\) \(<\) 3.5: \\ \hline \multirow{4}{*}{
\begin{tabular}{c} [PERSON] et al., \\ 2020, USA, [7] \\ \end{tabular} } & STEAD & Local magnitude & & & \(-\)0.1 \\  
\begin{table}
\begin{tabular}{c c c c c c} \hline
**Author, Year, Country, Ref.** & **Dataset Size** & **Target Features** & **AI Model** & **Performance** & **Performance** \\  & **Country** & **Country** & **Targed Features** & **AI Model** & **Index Name** & **Value (Unit0)** \\ \hline  & & & & & General accuracy & 0.9765 \\  & & & & & Medium and large & Medium and large \\  & & & & & earthquake: & earthquake: & earthquake: \\  & & 1097 earthquakes & & & Precision & 0.9822 \\
2023, China, [55] & 4166 waveforms & Magnitude & CNN & Recall & 0.9693 \\  & & & & F1 Score & 0.9769 \\  & & & & Small earthquake: & Small earthquake: \\  & & & & Precision & 0.9796 \\  & & & & Recall & 0.9834 \\  & & & & F1 Score & 0.9770 \\ \hline [PERSON] et al., & USGS (MILAAPDE) & & & & \\
2024, USA, [56] & 24 M waveforms & Magnitude & \begin{tabular}{c} AMag: \\ CNN-RNN \\ \end{tabular} & \begin{tabular}{c} Mean Precision \\ (M2.3 to \(M\)7.6) \\ \end{tabular} & \(\pm\)0.5 \\ \hline [PERSON] et al., & CENC & Magnitude & \begin{tabular}{c} EWMagNet: \\ CNN \\ \end{tabular} & \
\begin{tabular}{c} Accuracy \\ Recall \\ \end{tabular} &
\begin{tabular}{c} 0.9023 \\ 0.9035 \\ 0.9108 \\ F1 Score \\ \end{tabular} \\ \hline  & & & & & First 3 s: \\  & & & & RMSE & 0.38 \\  & & & & MAE & 0.29 \\  & & & & \(\sigma\) & 0.38 \\
2024, China, [58] & 8144 earthquakes & Magnitude & \begin{tabular}{c} Transformer \\ LSTM-CNN \\ \end{tabular} & \
\begin{tabular}{c} \(\sigma\) \\ First 14 s: \\ RMSE \\ MAE \\ \end{tabular} &
\begin{tabular}{c} First 14 s: \\ 0.20 \\ 0.15 \\ \end{tabular} \\ \hline  & & & & & Magnitude: & Magnitude: \\  & & & & RMSE & 0.0412 \\  & & & & \(\sigma\) & 0.0419 \\  & & & & \(\sigma\) & 0.020 \\ \hline  & & & & Magnitude: & Magnitude: \\  & & & & RMSE & 0.0412 \\  & & & & \(\sigma\) & 0.0419 \\  & & & & \(\sigma\) & Hypocentral dist: \\  & & & & RMSE & 485.53 \\  & & & & \(\sigma\) & 1.0 \\  & & & & MSE & 235,700 \\
2021, India, [59] & 400 earthquakes & \begin{tabular}{c} Magnitude \\ Location \\ \end{tabular} & SVM & \begin{tabular}{c} MAE \\ Azimuth: \\ RMSE \\ \end{tabular} & \begin{tabular}{c} 268,64 \\ 68.85 \\ 0.58 \\ 4741.5 \\ \end{tabular} \\  & & & & & MAE & 58.94 \\  & & & & RMSE & 0.0056422 \\  & & & & \(\sigma\) & 1.0 \\  & & & & MSE & 0.0003 \\  & & & & MAE & 0.0015 \\ \hline  & & & & \begin{tabular}{c} STEAD Dataset \\ Classification: \\ Accuracy \\ Precision \\ \end{tabular} & \begin{tabular}{c} STEAD Dataset \\ Classification: \\ Accuracy \\ Precision \\ \end{tabular} & \begin{tabular}{c} STEAD Dataset \\ Classification: \\ Precision \\ 0.9964 \\ 0.9897 \\ 0.9897 \\ 0.9897 \\ 0.986 \\ \end{tabular} \\  & & & & & \(\sigma\) & 0.60 \\  & & & MAE & 0.46 \\  & & & Mean error & 0.46 \\  & & & Mean error & \(-\)0.05 \\  & & & Mean error & \(-\)0.05 \\  & & & & \(\sigma\) & 0.10 \\  & & & & RMSE & 0.12 \\  & & & & RMSE & 0.05 \\  & & & & Mean error & 0.01 \\  & & & & \\ \end{tabular} \
\begin{tabular}{c} STEAD \\ Classification: \\ Accuracy \\ Precision \\ 0.9964 \\ 0.9897 \\ 0.9897 \\ 0.9896 \\ \end{tabular} \\ \hline  & & & & & & \\ Mean error & & & & 0.9799 \\  & & & Precision & 0.9866 \\  & & & Recall & 0.9753 \\  & & & & \(\sigma\) & 0.9810 \\  & & & & \\ \end{tabular}