Results 61 to 70 of about 17,339 (180)
Climate change and crop resilience: harnessing metabolomics for predicting stress tolerance
Summarised methodology for metabolite biomarker discovery and genomic targets selection for those metabolites to predict high‐throughput phenotypic and agronomic traits of interest for direct uptake in breeding programmes. Summary Global warming is driving climate change to levels not experienced since the advent of agriculture, primarily due to ...
Agyeya Pratap +3 more
wiley +1 more source
Lagrangian single-particle turbulent statistics through the Hilbert-Huang transform [PDF]
The Hilbert-Huang transform is applied to analyze single-particle Lagrangian velocity data from numerical simulations of hydrodynamic turbulence. The velocity trajectory is described in terms of a set of intrinsic mode functions Ci(t) and of their ...
Toschi, Federico +18 more
core +1 more source
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
Estimates of Extreme and Low Frequency Reef‐Flat Water Levels at Ipan, Guam From Offshore Waves
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]
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
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
MODE DECOMPOSITION AND THE HILBERT-HUANG TRANSFORM [PDF]
Преобразование Гильберта-Хуанга является перспективным методом исследования нелинейных и нестационарных процессов. Метод основан на эмпирической модовой декомпозиции и преобразовании Гильберта.
Бороноев В. В. +1 more
core
An Improved Hilbert-Huang Transform Method and Its Application
: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
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]
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

