Four-dimensional scanning transmission electron microscopy, coupled with a wide array of data analytics, has unveiled new insights into complex materials. Here, we introduce a straightforward ...
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
Optimal active unsupervised fault detection in cascaded h-bridge inverters based on machine learning
Nowadays, many different industries are using more Power Electronic (PELS) devices, in which Multi-Level Inverters (MLI) are not as an exception. Thus, these devices are gaining popularity in the ...
Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...
A transfer learning-based graph neural network model using mIF images to predict neoadjuvant immunochemotherapy response in patients with gastrointestinal cancer. This is an ASCO Meeting Abstract from ...
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