Robust zero-watermarking for color images using hybrid deep learning models and encryption. [PDF]
Sci RepGharib HA, Abdelnapi NMM, Hosny KM.
europepmc +1 more source
Scene‐Driven Semantic Alignment for Generative Communication in Underwater Images
IET Signal Processing, Volume 2026, Issue 1, 2026.Underwater images serve as one of the most intuitive media for human perception of underwater environments. However, the limited bandwidth and susceptibility to noise in underwater acoustic (UWA) channels pose significant challenges for traditional image encoding and transmission methods, thereby hindering high‐quality image reconstruction.
Yuetong Li +5 more
wiley +1 more source
Improving the accuracy of gridded snow depth estimation through multi-source data and a machine learning fusion model. [PDF]
Sci RepQiao D, Chen X, Zhou J, Liang S, Liu G.
europepmc +1 more source
Vector‐Based and Machine Learning Approaches for Pore Network Parameters Analysis
Geophysical Prospecting, Volume 74, Issue 1, January 2026.ABSTRACT Accurate characterization of pore structures in carbonate rocks is critical for evaluating fluid flow and storage capacity in subsurface reservoirs, a key concern in geophysical exploration and reservoir engineering. This study proposes a hybrid digital rock physics workflow that integrates deep learning–based segmentation, vectorial geometric
José Frank V. Gonçalves +4 more
wiley +1 more source
Robust Adversarial Example Detection Algorithm Based on High-Level Feature Differences. [PDF]
Sensors (Basel)Mu H, Li C, Peng A, Wang Y, Liang Z.
europepmc +1 more source
Unsupervised Physics‐Guided Deconvolution for High‐Resolution Hardrock Seismic Imaging
Geophysical Prospecting, Volume 74, Issue 1, January 2026.ABSTRACT High‐resolution seismic data are essential for interpreting thin‐layered stratigraphy and subtle structures within hardrock media, as this information can lead to better exploration decisions in the mining sector. Conventional resolution enhancement techniques, such as spectral broadening and supervised deep‐learning techniques, often rely on ...
Liuqing Yang +2 more
wiley +1 more source
Enabling Efficient Scheduling of Multi-Type Sources in Power Systems via Uncertainty Monitoring and Nonlinear Constraint Processing. [PDF]
Sensors (Basel)Zhang D, Li Q, Han J, Tian C, Li Y.
europepmc +1 more source
Methods in Ecology and Evolution, Volume 17, Issue 1, Page 207-218, January 2026.Abstract Species distribution models (SDMs) are widely used to standardize spatially unbalanced data, project climate impacts and identify habitat for conservation. SDMs typically estimate the impact of local environmental conditions by estimating a dome‐shaped or non‐parametric ‘environmental response function’.
Max Lindmark +2 more
wiley +1 more source
MPR-DIFF: A SELF-SUPERVISED DIFFUSION MODEL FOR MULTI-PLANAR REFORMATION IN PROSTATE MICRO-ULTRASOUND IMAGING. [PDF]
Proc IEEE Int Symp Biomed ImagingPang K +7 more
europepmc +1 more source