Earth.com

Largest protein classification in history finds 700,000 unknown structures

Scientists organize millions of proteins by shape, as predicted by AI, revealing 700,000 new families and some shapes unique ...
Searchenginejournal.com

How LLMs Interpret Content: How To Structure Information For AI Search

Structure content for AI search so it’s easy for LLMs to cite. Use clarity, formatting, and hierarchy to improve your visibility in AI results. In the SEO world, when we talk about how to structure ...
er.educause.edu

Policies and Practices: How to Improve Data Classification in Higher Education

Many academic institutions apply their data classification schemas in service of a range of institutional functions. At UW–Madison, for example, we use data classification in the following ways: With ...
C&EN

OPLS-Based Multiclass Classification and Data-Driven Interclass Relationship Discovery

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Multiclass data sets and large-scale studies are increasingly common in omics sciences ...
Frontiers

EEGGAN-Net: enhancing EEG signal classification through data augmentation

Background: Emerging brain-computer interface (BCI) technology holds promising potential to enhance the quality of life for individuals with disabilities. Nevertheless, the constrained accuracy of ...
IEEE

Joint Classification of Hyperspectral and LiDAR Data Using Height Information Guided Hierarchical Fusion-and-Separation Network

Abstract: Hyperspectral image (HSI) and light detection and ranging (LiDAR) data are complementary to each other, which can be combined to improve the classification performance. However, existing ...
IEEE

Structure-Prior-Constrained Low-Rank and Sparse Representation With Discriminative Incremental Dictionary for Hyperspectral Image Classification

Abstract: Low-rank and sparse representation (LRSR) model has gained popularity in hyperspectral image (HSI) classification. However, most existing LRSR models are limited by the highly nonlinear ...
C&EN

Prediction-Inspired Intelligent Training for the Development of Classification Read-across Structure–Activity Relationship (c-RASAR) Models for Organic Skin Sensitizers ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.chemrestox.3c00155. Original data set used for modeling with the values ...