Research Article
Optimization: Molecular Communication Networks for Viral Disease Analysis Using Deep Leaning Autoencoder
Table 2
Related work of MCN used by different techniques of DL.
| | Author name | Year | Techniques used | Results |
| | RF Mansour [24] | 2021 | DL-based variational autoencoder (UDL-VAE) model | Unsupervised deep learning-based variational autoencoder model diagnosis | | Y Huang [25] | 2020 | CNN | Model-based detectors, data-driven detectors | | TT Nguyen [26] | 2019 | AI | Artificial intelligence in the battle against viral disease | | Qian [27] | 2018 | ANN | Prove that model-based and data-driven approaches generate the typical optimum receiver model, ensuring that the device model is correct | | Alshammri [28] | 2018 | Joint ANN with the fuzzy method | Demodulate the data processed in the MCN system by on-off-keying modulation | | Z. Qin [29] | 2019 | DL | DL enhances the intellectual communication of physical layers | | He et al. [30, 31] | 2019 | DL | Model-driven DL decreases the demand for training data, results in faster deployment and reduces the risk of overfitting |
|
|