Results 81 to 90 of about 520,634 (314)

Compromise-free Bayesian neural networks [PDF]

open access: green, 2020
Kamran Javid   +3 more
openalex   +1 more source

VDLIN: A Deep Learning‐Based Platform for Methylcobalamin‐Inspired Immunomodulatory Compound Screening

open access: yesAdvanced Science, EarlyView.
Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo   +6 more
wiley   +1 more source

Bayesian network for predicting mandibular third molar extraction difficulty

open access: yesBMC Oral Health
Background This study aimed to establish a model for predicting the difficulty of mandibular third molar extraction based on a Bayesian network to meet following requirements: (1) analyse the interaction of the primary risk factors; (2) output ...
Tian Meng   +3 more
doaj   +1 more source

Construction of a Multitissue Cell Atlas Reveals Cell‐Type‐Specific Regulation of Molecular and Complex Phenotypes in Pigs

open access: yesAdvanced Science, EarlyView.
This research conducts an in‐depth investigation of cell‐type‐specific regulatory mechanisms underlying molecular and complex phenotypes through integrative analysis of multitissue single‐nucleus RNA sequencing, bulk RNA‐seq, and genome‐wide association study (GWAS) data in pigs.
Lijuan Chen   +31 more
wiley   +1 more source

Reliable AI Platform for Monitoring BCI Caused Brain Injury and Providing Real‐Time Protection

open access: yesAdvanced Science, EarlyView.
BrainGuard enables real‐time and interpretable assessment of brain injury caused by brain computer interface (BCI). Using feature‐based Gaussian process (GP) emulators trained on limited biomechanical data, it efficiently predicts full‐field strain and constructs patient‐specific digital brain twins to support clinical diagnosis and long‐term BCI ...
Chufan He   +3 more
wiley   +1 more source

Diagnostic Bayesian networks

open access: yesCOMPUTING AND INFORMATICS, 2012
Summary: The paper presents a causal-probabilistic approach to the technical diagnosis in which the solution of the technical diagnostic problem is considered as a probabilistic inference on a special kind of Bayesian networks called diagnostic Bayesian networks.
openaire   +2 more sources

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

open access: yesAdvanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng   +27 more
wiley   +1 more source

Bayesian Networks

open access: yes, 2022
Rudolf Kruse   +4 more
  +5 more sources

Single‐Field Evolution Rule Governs the Dynamics of Representational Drift in Mouse Hippocampal Dorsal CA1 Region

open access: yesAdvanced Science, EarlyView.
Long‐term hippocampal place‐code dynamics are investigated using calcium imaging across weeks of maze navigation. Analyses reveal a novelty‐irrelevant Single‐Field Evolution Rule (SFER), where active fields promote persistence and inactive fields decline.
Cong Chen   +10 more
wiley   +1 more source

Cause analysis approach for work safety accidents in urban gas pipeline network based on AcciMap-BN

open access: yesYou-qi chuyun
[Objective] Work safety accidents in urban gas pipeline networks have been increasing in frequency in recent years in China,causing significant negative impacts on public security.
SUN Yilin   +3 more
doaj   +1 more source

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