![How Artificial Intelligence Is Helping Prevent the Spread of the COVID-19 Pandemic – Swiss German University How Artificial Intelligence Is Helping Prevent the Spread of the COVID-19 Pandemic – Swiss German University](https://sgu.ac.id/wp-content/uploads/2020/12/02a.jpg)
How Artificial Intelligence Is Helping Prevent the Spread of the COVID-19 Pandemic – Swiss German University
![New machine-learning simulations reduce energy need for mask fabrics, other materials | Argonne National Laboratory New machine-learning simulations reduce energy need for mask fabrics, other materials | Argonne National Laboratory](https://www.anl.gov/sites/www/files/styles/article_teaser_16x9/public/2022-10/16x9_mask%20weaving%20image%281%29.jpg?h=8abcec71&itok=UR-7mx7N)
New machine-learning simulations reduce energy need for mask fabrics, other materials | Argonne National Laboratory
MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams | PLOS ONE
![Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread - ScienceDirect Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S1532046421001775-ga1.jpg)
Face mask detection using deep learning: An approach to reduce risk of Coronavirus spread - ScienceDirect
![J. Imaging | Free Full-Text | Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification J. Imaging | Free Full-Text | Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification](https://pub.mdpi-res.com/jimaging/jimaging-07-00046/article_deploy/html/images/jimaging-07-00046-ag.png?1615538501)
J. Imaging | Free Full-Text | Image Enhanced Mask R-CNN: A Deep Learning Pipeline with New Evaluation Measures for Wind Turbine Blade Defect Detection and Classification
![Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials | npj 2D Materials and Applications Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials | npj 2D Materials and Applications](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41699-020-0137-z/MediaObjects/41699_2020_137_Fig1_HTML.png)
Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials | npj 2D Materials and Applications
![Frontiers | Relevance-Based Data Masking: A Model-Agnostic Transfer Learning Approach for Facial Expression Recognition Frontiers | Relevance-Based Data Masking: A Model-Agnostic Transfer Learning Approach for Facial Expression Recognition](https://www.frontiersin.org/files/Articles/502441/fcomp-02-00006-HTML/image_m/fcomp-02-00006-g001.jpg)
Frontiers | Relevance-Based Data Masking: A Model-Agnostic Transfer Learning Approach for Facial Expression Recognition
![A novel machine learning scheme for face mask detection using pretrained convolutional neural network - ScienceDirect A novel machine learning scheme for face mask detection using pretrained convolutional neural network - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2214785322001948-gr1.jpg)
A novel machine learning scheme for face mask detection using pretrained convolutional neural network - ScienceDirect
Clinical application of mask region-based convolutional neural network for the automatic detection and segmentation of abnormal liver density based on hepatocellular carcinoma computed tomography datasets | PLOS ONE
![Few-click segmentation mask labeling in Amazon SageMaker Ground Truth Plus | AWS Machine Learning Blog Few-click segmentation mask labeling in Amazon SageMaker Ground Truth Plus | AWS Machine Learning Blog](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2023/02/24/ML-12915_image002.jpg)