| Reference | Year | Algorithms and methods | Contributions |
| [28] | 2021 | Radial basis function and Multilayer perceptron | Provides accurate path loss prediction using radial basis function and multilayer perceptron algorithms |
| [29] | 2022 | Ensemble Machine Learning | Combined several machine learning algorithms to achieve accurate prediction |
| [30] | 2018 | Multiplicative calculus | Multiplicative calculus gave predictions with the lowest value of RMSE as compared to the other empirical models |
| [31] | 2022 | Atmospheric propagation modeling at microwave frequency | Modelling of path loss with greater accuracy even at microwave frequency |
| [32] | 2022 | Prognostic modeling of specific radio attenuation | Thorough prognosis of and modeling of signal attenuation |
| [33] | 2021 | Systems dynamic approach with some machine learning methods | Machine learning methods enhanced with blockchain methods |
| [34] | 2021 | Automation with machine learning algorithms | Machine learning algorithms for automation of processes |
| [35] | 2022 | Machine learning algorithms for EEG signals | MLP algorithms, decision trees and random forest used in signal modeling |
| [36] | 2022 | Multilayer perceptron neural network for path loss prediction | Accurate signal prediction and characterization |