Results 171 to 180 of about 179,516 (314)

A Missing Traffic Data Imputation Method Based on a Diffusion Convolutional Neural Network-Generative Adversarial Network. [PDF]

Sensors (Basel), 2023
Zhang C, Zhou L, Xiao X, Xu D.
europepmc   +1 more source

Prompt Engineering Accelerates the Data‐Driven Discovery of Photocatalysts via an LLM‐Based Model Ensemble Strategy

Advanced Science, EarlyView.
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li, Xichen Sun, Shaohua Sun, Runzhou Wang, Miaomiao Zhang, Meng Xiao, Yue Wang, Yuezhou Zhang   +7 more
wiley   +1 more source

Spatiotemporal dependency data imputation for long-term health monitoring of concrete arch bridges. [PDF]

Sci Rep
Longji Z, Zhi Y, Jiaqing L, Wenhua L, Jingchun M.   +4 more
europepmc   +1 more source

Discounting of delayed rewards: Missing data imputation for the 21- and 27-item monetary choice questionnaires. [PDF]

PLoS One, 2023
Yeh YH, Tegge AN, Freitas-Lemos R, Myerson J, Green L, Bickel WK.   +5 more
europepmc   +1 more source

PAIR: Reconstructing Single‐Cell Open‐Chromatin Landscapes for Transcription Factor Regulome Mapping

Advanced Science, EarlyView.
scATAC‐seq analysis is often constrained by limited sequencing depth, extreme sparsity, and pervasive technical missingness. PAIR is a probabilistic framework that restores scATAC‐seq accessibility profiles by directly modeling the native cell–peak bipartite structure of chromatin accessibility.
Yanchi Su, Qi Qi, Yi Fan, Yubo Wang, Gaoyang Hao, Ka‐Chun Wong, Yunhe Wang, Xiangtao Li   +7 more
wiley   +1 more source

Clustering-Informed Shared-Structure Variational Autoencoder for Missing Data Imputation in Large-Scale Healthcare Data. [PDF]

Stat Med
Khadem Charvadeh Y, Seier K, Panageas KS, Vaithilingam D, Gönen M, Chen Y.   +5 more
europepmc   +1 more source

Reply to the Comments on “GLM7—A Novel Composite Glycolipid Index Derived from Routine Health Indicators for Enhanced Diagnosis and Prediction of Multimorbidity”

Advanced Science, EarlyView.
ABSTRACT This paper is a formal response to the comments raised by Yiquan Wang et al. and Peikai Sun et al. on our published work entitled “GLM7–A Novel Composite Glycolipid Index Derived from Routine Health Indicators for Enhanced Diagnosis and Prediction of Multimorbidity”. We address all the comments in this response.
Zhihua Wang, Suowen Xu
wiley   +1 more source

Self-Attention-Based Deep Learning for Missing Sensor Data Imputation in Real-Time Probe Card Monitoring. [PDF]

Sensors (Basel)
Bejani M, Mauri M, Mariani S.
europepmc   +1 more source

DeepMicroGen: a generative adversarial network-based method for longitudinal microbiome data imputation. [PDF]

Bioinformatics, 2023
Choi JM, Ji M, Watson LT, Zhang L.
europepmc   +1 more source

NCRN Meeting Spring 2014: Imputation of multivariate continuous data with non-ignorable missingness

, 2014
Thaís Paiva, Jerry Reiter
openalex   +1 more source