Results 71 to 80 of about 17,389 (226)
Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Hilbert-Huang Transform-based Local Regions Descriptors [PDF]
Procedings of the British Machine Vision Conference 2007, 2007 This paper presents a new interest local regions descriptors method based on Hilbert-Huang Transform. The neighborhood of the interest local region is decomposed adaptively into oscillatory components called intrinsic mode functions (IMFs). Then the Hilbert transform is applied to each component and get the phase and amplitude information. The proposed
D. Han, W. Li, W. Guo, Z. Li
openaire +1 more source
Estimates of Extreme and Low Frequency Reef‐Flat Water Levels at Ipan, Guam From Offshore Waves
Journal of Geophysical Research: Oceans, Volume 131, Issue 7, July 2026.Abstract Wave and water level observations collected at a shore‐attached fringing reef at Ipan, Guam are used to relate offshore wave conditions and reef water levels to extreme water levels near the shoreline (2% $\%$ exceedance, η2 ${\eta }_{2}$). The observations capture conditions during three extreme storm events, including Typhoon Dolphin that ...
Janet M. Becker, Mark A. Merrifield
wiley +1 more source
Time-frequency analysis of DC bias vibration of transformer core on the basis of Hilbert–Huang transform [PDF]
, 2016 This paper presents a time–frequency analysis of the vibration of transformer under direct current (DC) bias through Hilbert–Huang transform (HHT). First, the theory of DC bias for the transformer was analyzed. Next, the empirical mode decomposition (EMD)
Shi, Qingyan +7 more
core +1 more source
European Journal of Neuroscience, Volume 64, Issue 2, July 2026.Neuromodulation therapies for pain, such as high‐frequency spinal cord stimulation (hSCS), are widely used, yet their effects on TNS‐evoked cortical network dynamics remain unclear. This study demonstrates that hSCS selectively modulates TNS‐evoked cortical cross‐frequency interactions, altering theta‐gamma coupling in a region‐ and time‐dependent ...
Vishal Bharmauria +14 more
wiley +1 more source
An Improved Hilbert-Huang Transform Method and Its Application
工程科学与技术, 2017 :Aiming at the shortcoming of Hilbert-Huang transform method,where the end effect and false intrinsic mode function issue exist during its application,based on the analysis of the reasons of these problems,an improved Hilbert-Huang transform method was ...
ZHOU Xiaolong +3 more
doaj
Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.Abstract Fractured rocks play a crucial role in myriad natural and engineered systems, including Earth's critical zone, oil/gas/geothermal reservoirs, and geological CO2/H2/waste storage systems. While complex electrical conductivity is extensively used to estimate the pore and grain sizes of conventional porous rocks and soils, it is rarely used to ...
Youzheng Qi +4 more
wiley +1 more source
Hilbert-Huang Transform; Data from Multimedia University Provide New Insights into Hilbert-Huang Transform [PDF]
, 2013 According to news reporting from Melaka, Malaysia, by VerticalNews journalists, research stated, "This paper presents an emitted sound signal analysis technique for tool flank wear monitoring based on the Hilbert-Huang Transform (HHT)
J.E. Raja,
core
Geophysical Research Letters, Volume 53, Issue 12, 28 June 2026.Abstract During the geomagnetic storm on 10 May 2024, neutral density measurements from 14 Tianmu, Swarm, and GRACE‐FO satellites at ∼510 km altitude, combined with total electron content (TEC) observations, enabled the first global observational comparison of large‐scale traveling atmospheric and ionospheric disturbances (LSTADs/TIDs) via snapshots ...
Xiaolong Wei +8 more
wiley +1 more source
Wheeze detection in the respiratory sounds using Hilbert-Huang transform [PDF]
, 2014 Wheezes in the respiratory sounds are indicators for a number of diseases. Automatic detection of these signals -which have musical character and one or more dominant frequencies-is very important.
Omer Sayli, Sayli, Omer
core +1 more source