Results 151 to 160 of about 448,103 (274)

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity

open access: yesAdvanced Science, EarlyView.
Geometry and connectivity are complementary structures, which have demonstrated their ability to represent the brain's functional activity. This study evaluates geometric and connectome eigenmodes as biologically informed constraints for EEG source localization.
Pok Him Siu   +6 more
wiley   +1 more source

Agile human activity recognition for wearable devices based on online incremental learning. [PDF]

open access: yesFront Public Health
Fan L   +6 more
europepmc   +1 more source

Cohort‐Scale Spatial Autocorrelation for Tumor Prediction in Mid‐Infrared Pathology and Spatial Biomarker Discovery Using MALDI Imaging Lipidomics

open access: yesAdvanced Science, EarlyView.
Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel   +12 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

Incremental attribute reduction algorithm for dominance-based neighborhood relative decision entropy

open access: yes工程科学与技术
ObjectiveIn the big data environment, data is constantly being dynamically updated, which poses certain limitations and challenges to traditional machine learning algorithms.
CHEN Baoguo   +4 more
doaj  

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