## 9 Discussion
\begin{table}
\begin{tabular}{c c c c} \hline \hline
**Authors** & **Year** & **Model** & **Application** \\ \hline \multirow{3}{*}{[PERSON] et al. [94]} & \multirow{3}{*}{2022} & Artificial neural network (ANN) & Classification, clustering \\ \cline{3-4}  & & Support vector machine (SVM) & Classification \\ \cline{3-4}  & & Extreme gradient boosting (XGBoost) & Classification, regression \\ \hline [PERSON] et al. [96] & 2021 & Convolutional neural network (CNN) & Classification \\ \hline [PERSON] et al. [97] & 2021 & Random forest (RF) & Classification, regression \\ \hline \multirow{3}{*}{[PERSON] and [PERSON] [98]} & \multirow{3}{*}{2020} & Genetic programming (GP) & Symbolic regression, classification \\ \cline{3-4}  & & Sparse regression & Classification \\ \hline [PERSON] et al. [99] & 2020 & Gaussian processes (GP) & Classification, regression \\ \hline [PERSON] et al. [86] & 2021 & long-short term memory (LSTM) & Classification \\ \hline [PERSON] et al. [47] & 2021 & Gaussian processes (GP) & Classification, regression \\ \hline \hline \end{tabular}
\end{table} 
Table 2: List of some selected AI models that could fit the Metocean data system. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Authors** & **Year** & **Application** & **Technique** & **Pros** & **Cons** \\ \hline [PERSON] et al. [100] & 2022 & Oil and gas production & GBRT & - & Handles missing data & - & High computational complexity \\  & 2022 & & GMRT & - & Optimization flexibility & - & Less interpretable \\ \hline [PERSON] et al. [84] & 2022 & Metocean conditions & GBRT, ANN & - & Handles missing data & - & High computational complexity \\  & 2022 & & GMRT, ANN & - & Trustworthy predictions & - & High processing time for \\  & 2021 & & & & & large NN \\ \hline [PERSON] et al. [101] & 2021 & Oil and gas development & DT, RF & - & Optimization flexibility & - & High computational complexity \\  & 2021 & & & Improved accuracy & - & High training time \\ \hline [PERSON] et al. [102] & 2021 & Metocean conditions & DNN & - & Enhanced robustness & - & Accuracy detection \\  & 2020 & & & & need enhancement \\ \hline [PERSON] et al. [103] & 2020 & Metocean conditions & Sparse regression & - & Works well on & - & Compulsory to apply \\  & 2020 & & & non-linear problems & - & feature scaling \\ \hline [PERSON] et al. [104] & 2020 & Oil and gas drilling & RF & - & Improved accuracy & - & High computational power \\  & 2020 & & & & categorical and & - & High training time \\  & 2020 & & & continuous values & - & - & Trustworthy predictions \\ \hline [PERSON] et al. [105] & 2020 & Oil and gas exploration & NN, XGBost & - & Handles missing data & - & Trustworthy predictions \\  & 2020 & & & - & Trustworthy predictions & - & High computational complexity \\ \hline [PERSON] et al. [106] & 2020 & Metocean conditions & LSTM, SVM & - & High dimensional space & - & Gradient exploding \\  & 2020 & & & Good in time & - & Interpretation of result \\  & 2020 & & & series prediction & - & needs enhancement \\ \hline [PERSON] et al. [107] & 2020 & Oil and gas reliability/maintenance & SVM, MLP & - & Capable of fault tolerance & - & High computational complexity \\  & 2020 & & & - & Parallel processing capability & - & High processing time for \\ \hline [PERSON] et al. [108] & 2020 & Oil and gas inspection & ANN, GPR & - & Trustworthy predictions & - & High processing time for \\  & 2020 & & & - & Prediction is probabilistic & - & Efficiency lose in high \\  & 2020 & & & - & Works well with classifying & - & Constructed linear boundaries \\ [PERSON] et al. [109] & 2020 & Oil and gas & LR & - & Works well with classifying & - & Limited to predict only \\  & 2020 & & & - & model coefficient & - & discrete functions \\ \hline [PERSON] et al. [110] & 2020 & Oil and Gas Inspection & RF & - & Improved accuracy & - & High computational power \\  & 2020 & & & - & Categorical and & - & High training time \\  & 2020 & & & continuous values & - & - \\ \hline [PERSON] et al.