| V2X |
Vehicle-to-everything |
| QoS |
Quality of service |
| LSTM |
Long short-term memory |
| MLSTM |
Hybrid moving average long short-term memory |
| MPLS |
Multiprotocol label switching |
| RLWLSTM |
Hybrid robust locally weighted scatter plot smoothing and LSTM |
| SLA |
Service-level agreement |
| AI |
Artificial intelligence |
| ML |
Machine learning |
| IOT |
Internet of things |
| LRD |
Long-range dependency |
| ANN |
Artificial neural network |
| ARIMA |
Autoregressive integrated moving average |
| RNN |
Recurrent neural network |
| NN |
Neural network |
| SVM |
Support vector machine |
| DT |
Decision tree |
| DNN |
Deep neural network |
| AMF |
Access management function |
| SVR |
Support vector regression |
| DeepTP |
Deep traffic predictor |
| ISP |
Internet service provider |
| EMD |
Empirical mode decomposition |
| IMF |
Interstice mode function |
| RMSE |
Root mean square error |
| VANET |
Vehicular ad hoc network |
| MAPE |
Absolute percentage error |
| SSVM |
Smoothed support vector machine |
| eMBB |
Enhanced mobile broadband |
| B5G |
Beyond 5G |
| HHT |
Hilbert–Huang transform |
| RAM |
Random access memory |
| PDN-GW |
Packet data network gateway |
| EPC |
Evolved packet core |
| VRF |
Virtual routing function |
| PDF |
Probability density function |
| LOESS |
Locally estimated scatterplot smoothing |
| LOWESS |
Locally weighted scatterplot smoothing |
| MAD |
Mean absolute deviation |
| RLOWESS |
Robust locally weighted scatterplot smoothing |
| RLOESS |
Robust locally estimated scatterplot smoothing |
| MA |
Moving average |
| SG |
Savitzky–Golay |
| FIR |
Finite v |
| MSE |
Mean square error |
| AD |
Anderson–Darling |
| ReLU |
Rectified v |
| ADF |
Augmented Dicky–Fuller |
| LLSTM |
Hybrid v |
| LWLSTM |
Hybrid LOWESS and LSTM |
| SLSTM |
vLSTM |
| RLWLSTM |
Hybrid RLOWESS LSTM |
| RLLSTM |
Hybrid RLOESS LSTM |