Results 71 to 80 of about 32,741 (282)
Accurate modeling for nonlinear and nonstationary rainfall-runoff processes is essential for performing hydrologic practices effectively. This paper proposes two hybrid machine learning models (MLMs) coupled with variational mode decomposition (VMD) to ...
Youngmin Seo +2 more
doaj +1 more source
In this documentation, the basic and intermediate documentation of VMD molecular dynamics visualization software from University of Illinois at Urbana-Champaign are provided. This documentation includes user guide for opening and loading molecular structure files, change drawing options of molecular structures like CPK, tube, ribbon and etc., change ...
openaire +2 more sources
Sample predicted output samples with VMD-ALO-DLFTSVM predictor.
Sample predicted output samples with VMD-ALO-DLFTSVM predictor.
Jaikumar S. (13813296) +3 more
core +1 more source
This study uncovers a previously unrecognized copper‐COMMD1‐SOD1 regulatory axis, revealing that pathological copper overload paradoxically suppresses SOD1 activity by promoting COMMD1‐dependent disruption of SOD1 homodimerization. These findings redefine the regulatory role of copper in SOD1 biology and provide novel mechanistic insight into the ...
Yuqing Liu +7 more
wiley +1 more source
Apparently healthy crossbred cows (20) of first to fourth parity with normal calving history and free from any immediate post-parturient complications were selected to study the body condition score (BCS) and certain blood metabolite for establishment of
DHRUBAJYOTI BORPUJARI +6 more
doaj +1 more source
Aim. Vertical marginal discrepancy (VMD) influences the success of implant-supported restorations. However, there is little literature that has investigated the influence of geometry and cementing agent on changes in VMD of metal copings on implant ...
Jose Rosas +5 more
doaj +1 more source
In view of the strong randomness and non-stationarity of complex system, this study suggests a hybrid multi-strategy prediction technique based on optimized hybrid denoising and deep learning.
Xinyi Xu (505530) +2 more
core +1 more source
Effect of water immersion on multi- and mono-metallic VMD
© 2017 Elsevier B.V. The use of vacuum metal deposition (VMD) for fingermark detection has been known for almost 40 years. The technique is applicable on a wide variety of substrates and on wetted items.
Steiner, Romain +5 more
core +1 more source
A novel multiscale MD/DFT framework to elucidate microenzyme adsorption and electron transfer is reported. This method reveals distinct configurations for microperoxidase‐11 on graphene and those best suited for electron transfer. Rate constants align with the limited experimental data, establishing this framework as a tool for optimizing microenzyme ...
Milan Mijajlovic +6 more
wiley +1 more source
BFO-PSO-VMD-R-LMS-BPNN detection pseudocodes.
To further enhance the residual current detection capability of low-voltage distribution networks, an improved adaptive residual current detection method that combines variational modal decomposition (VMD) and BP neural network (BPNN) is proposed ...
Yunpeng Bai (1714087) +5 more
core +1 more source

