Results 131 to 140 of about 41,785 (303)

A Sensitive LSTM Model for High Accuracy Zero-Inflated Time-Series Prediction

open access: yesIEEE Access
The prevalence of zero values in zero-inflated time-series (ZI-TS) data poses significant challenges for traditional LSTM networks in learning long-term dependencies and trends. Specifically, the high proportion of zeros dilutes the influence of non-zero
Zhixin Huang   +5 more
doaj   +1 more source

Zero‐Inflated Data [PDF]

open access: yes, 2006
Wanzhu Tu
core   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

open access: yesAdvanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram   +4 more
wiley   +1 more source

ISCAZIM: Integrated statistical correlation analysis for zero-inflated microbiome data

open access: yesHeliyon
Microbiome-metabolome association analysis is critical to reveal the key pairs of gut microbiota and metabolites for discovery of the microbial biomarkers in chronic diseases.
Zhe Fan   +5 more
doaj   +1 more source

Zero‐Inflated Data [PDF]

open access: yes, 2014
Wanzhu Tu
core   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

open access: yesAdvanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

Inference for the Parameters of a Zero-Inflated Poisson Predictive Model

open access: yesRisks
In the insurance sector, Zero-Inflated models are commonly used due to the unique nature of insurance data, which often contain both genuine zeros (meaning no claims made) and potential claims.
Min Deng   +2 more
doaj   +1 more source

Estimation of Ability Parameters in Achievement Tests from Zero-inflated Data [PDF]

open access: yes, 2017
departmental bulletin ...
Yoshida, Kiyotaka   +2 more
core  

A Single‐Cell Transcriptomic Atlas of the Ovine Rumen Microbiome Characterizes Lineage‐Specific Metabolic Shifts Associated with Host Heat Tolerance

open access: yesAdvanced Science, EarlyView.
An optimized single‐cell transcriptomic framework profiles over 60 000 cells to map the ovine rumen microbiome, partitioning the ecosystem into seven cross‐species functional clusters. In heat‐resistant hosts, a lineage‐specific metabolic shift in Anaerovibrio lipolyticus toward a highly glycolytic phenotype contributes to a “nutritional sparing ...
Sanbao Zhang   +8 more
wiley   +1 more source

Zero-inflated Poisson regression models for QTL mapping applied to tick-resistance in a Gyr x Holstein F2 population

open access: yesGenetics and Molecular Biology, 2011
Nowadays, an important and interesting alternative in the control of tick-infestation in cattle is to select resistant animals, and identify the respective quantitative trait loci (QTLs) and DNA markers, for posterior use in breeding programs. The number
Fabyano Fonseca Silva   +7 more
doaj  

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