Using Natural Language Processing and Machine Learning to classify the status of kidney allograft in Electronic Medical Records written in Spanish. by Andrea Garcia-Lopez, Juliana Cuervo-Rojas, Juan Garcia-Lopez, Fernando Giron-Luque

“…NLP involved text normalization, tokenization, stopwords removal, spell-checking, elimination of low-frequency words and stemming. Data was split in training, validation and test sets. …”
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Analisis Sentimen Kebijakan New Normal dengan Menggunakan Automated Lexicon Senti N-Gram by Rifki Akbar Siregar, Yuita Arum Sari, Indriati Indriati

“…The evaluation results obtained using stemming data were higher than those without stemming. …”
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On the use of clustering workflows for automated microstructure segmentation of analytical STEM datasets by Zhiquan Kho, Andy Bridger, Keith Butler, Ercin C. Duran, Mohsen Danaie, Alexander S. Eggeman

“…It was found that the cluster output of a variational autoencoder (VAE) performed better compared to a more conventional latent transformation via Uniform Manifold Approximation & Projection (UMAP) on 4D-STEM data alone. However, the UMAP workflow applied to merged 4D-STEM and STEM-energy dispersive x-ray (STEM-EDX) data produced the best cluster output overall, indicating that the correlated information provides beneficial constraints to the latent space. …”
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Automatic Extraction Method of Phenotypic Parameters for <i>Phoebe zhennan</i> Seedlings Based on 3D Point Cloud by Yang Zhou, Yikai Qi, Longbin Xiang

“…The leaves were separated from the stem through streamlined projection, after which the remaining leaf point cloud was individually extracted using the density-based spatial clustering of applications with noise (DBSCAN) algorithm. The extracted stem data were used to measure stem length and stem diameter, and for each extracted leaf, leaf length, width, and area were measured, yielding accuracies of 97.7%, 93.2%, 96.4%, 88.02%, and 85.84%, respectively. …”
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A study on grain boundary barrier layer solid aluminum capacitors by Wen Hsi Lee, C.R. Kuo, Hong En Chen

“…XRD and XPS analyses confirmed the composition of the aluminum grain boundary capacitors. SEM and STEM data revealed a layered grain boundary structure. …”
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