Results 91 to 100 of about 653,157 (286)

Multiscale Image Representation and Texture Extraction Using Hierarchical Variational Decomposition

Journal of Applied Mathematics, 2013
In order to achieve a mutiscale representation and texture extraction for textured image, a hierarchical (BV,Gp,L2) decomposition model is proposed in this paper.
Liming Tang, Chuanjiang He
doaj   +1 more source

Fabrication and Characterization of Multiscale PLA Structures Using Integrated Rapid Prototyping and Gas Foaming Technologies

Nanomaterials, 2018
Multiscale structured polymers have been considered as a promising category of functional materials with unique properties. We combined rapid prototyping and gas foaming technologies to fabricate multiscale functional materials of superior mechanical and
Byung Kyu Park, David J. Hwang, Dong Eui Kwon, Tae Jun Yoon, Youn-Woo Lee   +4 more
doaj   +1 more source

Hierarchical Flexible Ceramic Nanofiber Membrane for Simultaneous Membrane Distillation and Photocatalytic Hydrogen Evolution

Advanced Materials, EarlyView.
A hierarchical flexible ceramic nanofiber membrane integrates a La‐stabilized ZrO2 scaffold with superhydrophobic UiO‐66‐NH2/CdS heterojunctions. The gas–liquid–solid interfacial architecture sustains vapor‐selective desalination, visible‐light charge separation, and rapid H2 extraction, enabling simultaneous freshwater production and photocatalytic ...
Pengfei Lin, Xiaochen Lu, Jiawei Sun, Shuai Guo, Xinping He, Chunhai Yi, Zhenyao Wang, Jiaxin Guo, Swee Ching Tan, Alicia Kyoungjin An   +9 more
wiley   +1 more source

Denoising method for partial discharge signals under high frequency working conditions based on CFOA-VMD and multi-scale wavelet thresholding [PDF]

AIP Advances
To address the issues of overlap between high-frequency power supply background noise and partial discharge signals, the reliance on empirical determination of optimization parameters in existing variational mode decomposition (VMD) algorithms, and the ...
Xiaonan Li, Chao Jiang, Wenxu Zhang, Yanhong Chen, Hong Wang, Hongliang Zhang   +5 more
doaj   +1 more source

Advanced Manufacturing of Composite‐Based Systems for Energy Applications

Advanced Materials Technologies, EarlyView.
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli, Dhanush Patil, Libin Yang, M. Taylor Sobczak, Anshul Kulkarni, Xiao Sun, Arunachalam Ramanathan, Tiantian Li, Ramaraja P. Ramasamy, Jason J. Locklin, Yanyu Chen, Xianqiao Wang, Arunachala Mada Kannan, Kenan Song   +13 more
wiley   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

Retracted: Wavelet-Based Multiscale Decomposition Algorithm for Trajectory Capture of Tennis Serves. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Solid Harmonic Wavelet Bispectrum for Image Analysis

Advanced Science, EarlyView.
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown, Mathilda Avirett‐Mackenzie, Carolin Villforth, Georgios Exarchakis   +3 more
wiley   +1 more source

AB-PINNs: adaptive-basis physics-informed neural networks for residual-driven domain decomposition

Machine Learning: Science and Technology
We introduce adaptive-basis physics-informed neural networks (AB-PINNs), an adaptive domain decomposition framework for PINNs in which learnable subdomains dynamically evolve during training to align with intrinsic features of the unknown solution. Local
Jonah Botvinick-Greenhouse, Wael H Ali, Mouhacine Benosman, Saviz Mowlavi   +3 more
doaj   +1 more source

Short-Term Forecasting of Traction Load Based on the Integration of ODE-MMF and TimeXer-Mamba

Energies
This paper presents a short-term traction-load forecasting method that fuses optimization-driven dual-scale decomposition and multiscale information fusion (ODE-MMF) with TimeXer-Mamba to address non-stationary prediction difficulties caused by ...
Jinqing Xu, Hongbo Cheng, Qiang Gao, Shouxing Wan   +3 more
doaj   +1 more source