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Conclusion

HEC cellulose has found widespread use across various fields, primarily due to its thickening and stabilizing properties. In the construction industry, it is utilized as an additive in cement and mortar to enhance workability, water retention, and adhesion. HEC is also used in adhesives, paints, and coatings to improve viscosity and ensure an even application.

Variational Autoencoders are a type of generative model that leverage neural networks to learn the underlying distribution of data. Unlike traditional autoencoders that primarily focus on reconstructing the input data, VAEs introduce a probabilistic twist. They aim to model the latent space in a way that allows for smooth interpolation between data points and the generation of new data instances that resemble the training dataset.