![Review of Machine Learning for Hydrodynamics, Transport, and Reactions in Multiphase Flows and Reactors | Industrial & Engineering Chemistry Research Review of Machine Learning for Hydrodynamics, Transport, and Reactions in Multiphase Flows and Reactors | Industrial & Engineering Chemistry Research](https://pubs.acs.org/cms/10.1021/acs.iecr.2c01036/asset/images/large/ie2c01036_0024.jpeg)
Review of Machine Learning for Hydrodynamics, Transport, and Reactions in Multiphase Flows and Reactors | Industrial & Engineering Chemistry Research
![Energies | Free Full-Text | Anomaly Detection for Wind Turbines Using Long Short-Term Memory-Based Variational Autoencoder Wasserstein Generation Adversarial Network under Semi-Supervised Training Energies | Free Full-Text | Anomaly Detection for Wind Turbines Using Long Short-Term Memory-Based Variational Autoencoder Wasserstein Generation Adversarial Network under Semi-Supervised Training](https://pub.mdpi-res.com/energies/energies-16-07008/article_deploy/html/images/energies-16-07008-g009.png?1696859747)
Energies | Free Full-Text | Anomaly Detection for Wind Turbines Using Long Short-Term Memory-Based Variational Autoencoder Wasserstein Generation Adversarial Network under Semi-Supervised Training
![Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation: Trends in Pharmacological Sciences Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation: Trends in Pharmacological Sciences](https://www.cell.com/cms/attachment/053b635f-927f-451b-9917-2d8eecdad3b0/gr1_lrg.jpg)
Machine Learning for Biologics: Opportunities for Protein Engineering, Developability, and Formulation: Trends in Pharmacological Sciences
![Corrosion morphology prediction of civil infrastructure using a physics-constrained machine learning method - ScienceDirect Corrosion morphology prediction of civil infrastructure using a physics-constrained machine learning method - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0888327023004235-gr8.jpg)
Corrosion morphology prediction of civil infrastructure using a physics-constrained machine learning method - ScienceDirect
![Entropy | Free Full-Text | DA-LSTM-VAE: Dual-Stage Attention-Based LSTM-VAE for KPI Anomaly Detection Entropy | Free Full-Text | DA-LSTM-VAE: Dual-Stage Attention-Based LSTM-VAE for KPI Anomaly Detection](https://pub.mdpi-res.com/entropy/entropy-24-01613/article_deploy/html/images/entropy-24-01613-g010.png?1668595534)
Entropy | Free Full-Text | DA-LSTM-VAE: Dual-Stage Attention-Based LSTM-VAE for KPI Anomaly Detection
![Corrosion morphology prediction of civil infrastructure using a physics-constrained machine learning method - ScienceDirect Corrosion morphology prediction of civil infrastructure using a physics-constrained machine learning method - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S0888327023004235-gr7.jpg)
Corrosion morphology prediction of civil infrastructure using a physics-constrained machine learning method - ScienceDirect
![JPM | Free Full-Text | Using EfficientNet-B7 (CNN), Variational Auto Encoder (VAE) and Siamese Twins’ Networks to Evaluate Human Exercises as Super Objects in a TSSCI Images JPM | Free Full-Text | Using EfficientNet-B7 (CNN), Variational Auto Encoder (VAE) and Siamese Twins’ Networks to Evaluate Human Exercises as Super Objects in a TSSCI Images](https://www.mdpi.com/jpm/jpm-13-00874/article_deploy/html/images/jpm-13-00874-g028-550.jpg)