Results 101 to 110 of about 12,484 (262)

CSTrans: cross-subdomain transformer for unsupervised domain adaptation

open access: yesComplex & Intelligent Systems
Unsupervised domain adaptation (UDA) aims to make full use of a labeled source domain data to classify an unlabeled target domain data. With the success of Transformer in various vision tasks, existing UDA methods borrow strong Transformer framework to ...
Junchi Liu, Xiang Zhang, Zhigang Luo
doaj   +1 more source

EDIF: boosting unsupervised cross-domain forest fire smoke detection with enhanced domain-invariant features

open access: yesGeomatics, Natural Hazards & Risk
In forest fire smoke detection tasks, variations in data distribution caused by deployment environments, acquisition devices, and smoke characteristics, along with the scarcity of fire incidents, make it difficult for models to generalize across all ...
Peixian Jin   +5 more
doaj   +1 more source

Nanoparticle‐Mediated Immunometabolic‐Epigenetic Remodeling Enhances Schwann Cell‐Macrophage Interaction for Sciatic Nerve Regeneration

open access: yesAdvanced Science, EarlyView.
A biomimetic Prussian White nanoparticle (PW) is engineered to achieve long‐term local retention and orchestrate immunometabolic‐epigenetic remodeling for sciatic nerve regeneration. PW directly targets hexokinase 2 to suppress glycolysis, thereby elevating α‐ketoglutarate and driving Kdm4a/b‐mediated demethylation of H3K9me3.
Wenying Xu   +6 more
wiley   +1 more source

Unsupervised Domain Adaptation for Instance Segmentation: Extracting Dwellings in Temporary Settlements Across Various Geographical Settings

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Dwelling information is essential for humanitarian emergency response during or in the aftermath of disasters, especially in temporary settlement areas hosting forcibly displaced people.
Getachew Workineh Gella   +5 more
doaj   +1 more source

ALKBH3 m1A Demethylase Deficiency Reduces Alzheimer's Amyloid‐β Pathology

open access: yesAdvanced Science, EarlyView.
This study identifies that ALKBH3‐driven m1A demethylation orchestrates Alzheimer's disease progression by disrupting mitochondrial and synaptic homeostasis. This epitranscriptomic mechanism suppresses PINK1‐mediated mitophagy via m1A erasure, leading to mitochondrial dysfunction, oxidative stress, elevated Aβ production, and impaired microglial ...
Yueyang Li   +25 more
wiley   +1 more source

Frequency-Aware Unsupervised Domain Adaptation for Semantic Segmentation of Laparoscopic Images

open access: yesApplied Sciences
Semantic segmentation of laparoscopic images requires costly pixel-level annotations, which are often unavailable for real surgical data. This gives rise to an unsupervised domain adaptation scenario, where labeled synthetic images serve as the source ...
Huiwen Dong, Gaofeng Zhang
doaj   +1 more source

GHRHR Deficiency Enhances Retinal Ganglion Cell Survival and Visual Functions in Experimental Glaucoma by Inhibiting Ferroptosis

open access: yesAdvanced Science, EarlyView.
Glaucoma, a major cause of blindness, involves retinal ganglion cell (RGC) degeneration. This study shows growth hormone‐releasing hormone receptor (GHRHR) deficiency preserves RGC survival and restores vision, unlike activation which only aids survival.
Yan Tong   +24 more
wiley   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

open access: yesAdvanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu   +5 more
wiley   +1 more source

Supervised Domain Adaptation for Remaining Useful Life Prediction Based on AdaBoost With Long Short-Term Memory

open access: yesIEEE Access
With the advent of high-quality deep learning algorithms, several methods have been proposed for addressing domain adaptation (DA) problems in remaining useful life prediction.
Seunghwan Seo   +2 more
doaj   +1 more source

Integrating Radiomics and Computational Pathology to Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma and Uncover Its Biological Basis in Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
Accurate prediction of early recurrence in pancreatic ductal adenocarcinoma is vital for optimizing treatment. A novel, integrated radiomics‐pathology machine learning model successfully forecasts recurrence risks by analyzing preoperative CT images and computational pathology.
Sihang Cheng   +17 more
wiley   +1 more source

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