Results 251 to 260 of about 18,244,520 (347)

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Dose-aware diffusion model for 3D PET image denoising: Multi-institutional validation with reader study and real low-dose data. [PDF]

Med Image Anal
Xie H, Gan W, Bayerlein R, Zhou B, Chen MK, Kulon M, Boustani A, Ko KY, Wang DS, Spencer BA, Ji W, Chen X, Liu Q, Guo X, Xia M, Zhou Y, Liu H, Guo L, An H, Kamilov US, Wang H, Li B, Rominger A, Shi K, Wang G, Badawi RD, Liu C.   +26 more
europepmc   +1 more source

Investigation on tunnel stability considering pipe‐roof support with transparent soil technology

Deep Underground Science and Engineering, EarlyView.
This study integrates transparent soil technology, 3D reconstruction and numerical simulation to captures the full‐field deformation of shield tunnel instability. Results demonstrate that pipe‐roof support enhances stability via the “soil‐arching barrier effect,” effectively restraining failure wedge development by extending stress transfer paths ...
Zhi Jia, Yunpeng Ji, Zhao Lu, Honghua Zhao, Limin Zhang   +4 more
wiley   +1 more source

Time-step encoded high-frequency enhanced diffusion model for OCT retinal image denoising. [PDF]

Biomed Opt Express
Yang B, Huang Y, Xie Y, Li J, Jia S, Hao Q.   +5 more
europepmc   +1 more source

Estuarine benthic diversity declines with temperature across a tropical–temperate gradient

Ecography, EarlyView.
Estuarine benthic sediments are important habitats that support ecosystem health and productivity, but the drivers of large‐scale patterns in benthic diversity are not well documented. Using 18S amplicon sequencing of 425 sediment DNA samples from estuaries spanning 20° of latitude along Australia's east coast, we assessed tropical–temperate patterns ...
Sally A. Bracewell, Mariana Mayer‐Pinto, Katherine A. Dafforn, Sebastian Vadillo Gonzalez, Thayanne L. Barros, Emma L. Johnston   +5 more
wiley   +1 more source

Wavelet-Based Topological Loss for Low-Light Image Denoising. [PDF]

Sensors (Basel)
Malyugina A, Anantrasirichai N, Bull D.
europepmc   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

DG-DiT: Dual-Branch Gating Diffusion Transformer for Multi-Tracer and Multi-Scanner Brain PET Image Denoising. [PDF]

IEEE Trans Radiat Plasma Med Sci
Zhou Z, Yang F, Song TA, Lei B, Zhang Y, Dutta J.   +5 more
europepmc   +1 more source

Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley   +1 more source

Wild horseshoe crab image denoising based on CNN-transformer architecture. [PDF]

Sci Rep
Han L, Liu X, Wang Q, Xu T.
europepmc   +1 more source