-
621
Compensation of the Meyer‐Neldel Compensation Law for H diffusion in minerals
Published 2014-06-01“…Abstract The Meyer‐Neldel Rule (MNR), or compensation law, linearly relates the preexponent term to the logarithm of the excitation enthalpy for any process that is thermally driven in an Arrhenian manner, and MNR fits can be used to calibrate and validate laboratory experimental results. …”
Get full text
Article -
622
Unveiling the Hydrogen Diffusion During Degradation of Silicon Solar Cells
Published 2025-06-01“…We observe how the hydrogen changes during each process and the changes in the profile during the degradation. …”
Get full text
Article -
623
Augmenting the Structures in a Swirling Flame via Diffusive Injection
Published 2014-01-01“…This would also prevent combustion induced vortex breakdown CIVB occurring as a CRZ is fundamental to the process; however, without recirculation it would create an inherently unstable flame.…”
Get full text
Article -
624
Evaluation of Mechanical Properties for Epoxy Resin in Nano Composite Diffusion
Published 2023-01-01“…The mixing is performed using an ultrasound process where the nanoparticles are mixed with the resin for a homogeneous diffusion. …”
Get full text
Article -
625
Characterizations and boron diffusion modelling on the AISI H13 steel
Published 2024-01-01Get full text
Article -
626
Electron currents and heating in the ion diffusion region of asymmetric reconnection
Published 2016-05-01“…These results show that sub‐ion scale processes occur in the ion diffusion region and are important for understanding electron heating and acceleration.…”
Get full text
Article -
627
Grain Boundary Diffusion of Ferropericlase: Implications for the Core‐Mantle Interaction
Published 2025-04-01“…Various mechanisms have been proposed to explain the process of iron infiltration from the core to the mantle, each with its own inherent limitations. …”
Get full text
Article -
628
Transformer-Based Diffusion and Spectral Priors Model for Hyperspectral Pansharpening
Published 2025-01-01“…The learned spectral prior is incorporated as a regularization term to guide the fusion process, balancing the contributions of the diffusion model and spectral priors for accurate HR-HSI reconstruction. …”
Get full text
Article -
629
On Denoising Diffusion Probabilistic Models for Synthetic Aperture Radar Despeckling
Published 2025-03-01“…Proposed modifications to the DDPM framework include (i) using a non-uniform step size and spread, along with early stopping in the denoising process, and (ii) sample aggregation by training of a secondary aggregating U-Net to extract additional performance from the partially denoised DDPM samples. …”
Get full text
Article -
630
Disentangled diffusion dodels for probabilistic spatio-temporal traffic forecasting
Published 2025-06-01“…By decoupling these components, we can apply targeted denoising strategies to each frequency band during the diffusion process. This enables more accurate modeling of uncertainty and improved predictions. …”
Get full text
Article -
631
Characterization of Moisture Diffusion in Cured Concrete Slabs at Early Ages
Published 2015-01-01“…A one-dimensional nonlinear moisture diffusion partial differential equation (PDE) based on Fick’s second law, which incorporates the effect of curing in the Dirichlet boundary condition using a concept of curing factor, is developed to simulate the diffusion process. …”
Get full text
Article -
632
CPDM: Content-preserving diffusion model for underwater image enhancement
Published 2024-12-01“…Specifically, we construct a conditional input module by adopting both the raw image and the difference between the raw and noisy images as the input at each time step of the diffusion process, which can enhance the model’s adaptability by considering the changes involving the raw images in underwater environments. …”
Get full text
Article -
633
A latent diffusion approach to visual attribution in medical imaging
Published 2025-01-01“…To achieve this, we deploy image priors in conjunction with appropriate conditioning mechanisms in order to control the image generative process, including natural language text prompts acquired from medical science and applied radiology. …”
Get full text
Article -
634
The association between cervical diffuse idiopathic skeletal hyperostosis and dysphagia
Published 2025-07-01“…Severe DISH is strongly associated with low serum albumin levels, which may reflect nutritional compromise or systemic disease processes. Midline DISH predominates, particularly in Parkinson’s disease, while bilateral involvement correlates with poor nutritional status. …”
Get full text
Article -
635
Spectral photosensitivity of diffused Ge-p–i–n photodiods
Published 2020-08-01“…The paper describes a manufacturing process for high-speed Ge-p–i–n photodiodes for laser rangefinders using the diffusion method. …”
Get full text
Article -
636
Determination of Copper(II) Ions by Diffuse Reflectance Spectroscopy Method
Published 2019-05-01“…Factors controlling the process of sorption of the copper(II) complex with picramine-ε were studied. …”
Get full text
Article -
637
A survey of emerging applications of diffusion probabilistic models in MRI
Published 2024-06-01“…Diffusion probabilistic models (DPMs) which employ explicit likelihood characterization and a gradual sampling process to synthesize data, have gained increasing research interest. …”
Get full text
Article -
638
KEDM: Knowledge-Embedded Diffusion Model for Infrared Image Destriping
Published 2025-01-01“…Meanwhile, DWCM uses wavelet convolution operations to construct prior loss functions for stripe noise, precisely guiding the diffusion reconstruction process to achieve a clean, stripe-free image. …”
Get full text
Article -
639
Speeding-up diffusion models for remote sensing semantic segmentation
Published 2025-08-01“…While initial approaches using DDPMs in remote sensing achieve competitive accuracy with state-of-the-art models, the multi-step nature of their image generation process poses a major bottleneck. To address this limitation, this paper investigates three key strategies for accelerating inference: (1) optimizing training and inference steps, (2) applying DDPM acceleration techniques adapted to segmentation task (including Denoising Diffusion Implicit Models, Improved Denoising Diffusion Models, and Progressive Distillation), and (3) thoroughly analyzing the trade-off between accuracy improvement and additional inference time when using test-time augmentation. …”
Get full text
Article -
640
Light Field Diffusion for Single-View Novel View Synthesis
Published 2025-01-01“…By integrating the light field encoding with the reference image, our method imposes local pixel-wise constraints within the diffusion process, fostering enhanced view consistency. …”
Get full text
Article