Results 61 to 70 of about 1,083,294 (265)

GrImp: Granular Imputation of Missing Data for Interpretable Fuzzy Models

Axioms
Data incompleteness is a common problem in real-life datasets. This is caused by acquisition problems, sensor failures, human errors, and so on. Missing values and their subsequent imputation can significantly affect the performance of data-driven models
Krzysztof Siminski, Konrad Wnuk
doaj   +1 more source

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, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Metro Foundation Pit Deformation Prediction Method Based on CNN-GRU Neural Network under Incomplete Data Condition

Chengshi guidao jiaotong yanjiu
[Objective] To address the issues of prediction delay and accuracy degradation caused by incomplete deformation monitoring data in metro foundation pits, a prediction method based on a CNN-GRU (convolutional neural network-gated recurrent unit) neural ...
ZHOU Yi, WANG Zhangqiong, ZOU Yuangeng, CAI Yonghui, XU Xiaoya, ZHAO Qilin   +5 more
doaj   +1 more source

Septin 9 PB domains coordinate centrosome positioning and microtubule acetylation to control epithelial polarity

FEBS Letters, EarlyView.
Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai, Mohyeddine Omrane, Nassima Benzoubir, Didier Samuel, Ama Gassama‐Diagne   +4 more
wiley   +1 more source

Dual-Branch Bidirectional Long Short-Term Memory Network for Battery State of Health Estimation Under Incomplete Data

Energies
Accurate estimation of the state of health (SOH) of lithium-ion batteries is crucial for battery management systems (BMS), as it directly affects system safety, operational reliability, and remaining useful life prediction.
Le Ke, Xiangbo Zhang, Lujuan Dang
doaj   +1 more source

From mice to humans—divergent strategies for intestinal homeostasis and regeneration

FEBS Letters, EarlyView.
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa, Shinya Sugimoto, Toshiro Sato   +2 more
wiley   +1 more source

Ensemble Classification of Incomplete Data Evidence on Adaptive Subspace Imputation

Zhengzhou Daxue xuebao. Gongxue ban
In response to the issue of biased estimates affecting classification performance in imputation-based classification methods when dealing with missing data, an incomplete data evidence ensemble classification method based on adaptive subspace ...
ZHANG Zhen, CHUN Meijie, TIAN Hongpeng, LI Youhao, HUANG Weitao, ZHANG Junjie   +5 more
doaj   +1 more source

Robustness of the Data-Driven Identification algorithm with incomplete input data [PDF]

Journal of Theoretical, Computational and Applied Mechanics
Identifying the mechanical response of a material without presupposing any constitutive equation is possible thanks to the Data-Driven Identification algorithm developed by the authors.
Marie Dalémat, Michel Coret, Adrien Leygue, Erwan Verron   +3 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

KFCM-PSOTD : An Imputation Technique for Missing Values in Incomplete Data Classification

Cauchy: Jurnal Matematika Murni dan Aplikasi
Data mining is a very important process for finding out the data interpretation. Data preprocessing is the crucial data mining steps. The existence of missing values in the data is one of the primary issues with data preprocessing. Generally, this can be
Muhaimin Ilyas, Syaiful Anam, Trisilowati Trisilowati   +2 more
doaj   +1 more source