Results 31 to 40 of about 62,722 (213)
A Regularized Attribute Weighting Framework for Naive Bayes
IEEE Access, 2020 The Bayesian classification framework has been widely used in many fields, but the covariance matrix is usually difficult to estimate reliably. To alleviate the problem, many naive Bayes (NB) approaches with good performance have been developed. However,
Shihe Wang, Jianfeng Ren, Ruibin Bai
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FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Lithium-ion battery health prediction based on online sequential extreme learning machine model
电力工程技术Aiming at the problems that the prediction accuracy of lithium battery health status is not high and the model cannot be updated online, a lithium-ion battery health prediction method based on the online sequential extreme learning machine (OSELM) model ...
Qida ZHENG +5 more
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Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
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大数据With the rapid development of artificial intelligence, deepfake technology has become a powerful tool for generating realistic audio, images, and videos. However, its widespread use and decreasing costs pose serious threats to personal privacy and social
LI Junjie +3 more
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Multi-Model Fusion Fine-Grained Image Classification Method Based on Migration Learning
IEEE AccessCurrent single-model methods for fine-grained image classification suffer from insufficient generalisation ability, while multi-model fusion methods suffer from weight curing.
Wenying Zhang, Yaping Wang
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FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
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AI Model Performances Depend on Adequate Training Data Representing Diverse Physical Mechanisms
Geophysical Research LettersThe value of weather and climate AI models depends on their generalization beyond training data, yet the influence of data characteristics on this capability remains unclear. In this investigation, a fully controllable framework using a parameter‐tunable
Mu Mu, Bo Qin, Guokun Dai
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The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source
A Multi-Level Knowledge Distillation for Enhanced Crop Segmentation in Precision Agriculture
AgricultureIn this paper, we propose a knowledge distillation framework specifically designed for semantic segmentation tasks in agricultural scenarios.
Zhiyong Li +5 more
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