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 nameYearTechniques usedResults

RF Mansour [24]2021DL-based variational autoencoder (UDL-VAE) modelUnsupervised deep learning-based variational autoencoder model diagnosis
Y Huang [25]2020CNNModel-based detectors, data-driven detectors
TT Nguyen [26]2019AIArtificial intelligence in the battle against viral disease
Qian [27]2018ANNProve that model-based and data-driven approaches generate the typical optimum receiver model, ensuring that the device model is correct
Alshammri [28]2018Joint ANN with the fuzzy methodDemodulate the data processed in the MCN system by on-off-keying modulation
Z. Qin [29]2019DLDL enhances the intellectual communication of physical layers
He et al. [30, 31]2019DLModel-driven DL decreases the demand for training data, results in faster deployment and reduces the risk of overfitting