Results 81 to 90 of about 197,948 (294)

An adaptive denoising fault feature extraction method based on ensemble empirical mode decomposition and the correlation coefficient

Advances in Mechanical Engineering, 2017
Vibration signal processing is commonly used in the mechanical fault diagnosis. It contains abundant working status information. The vibration signal has some features such as non-linear and non-stationary. It has a lot of interference information. Fault
Huixiang Yang, Tengfei Ning, Bangcheng Zhang, Xiaojing Yin, Zhi Gao   +4 more
doaj   +1 more source

Empirical Mode Decomposition of the atmospheric wave field [PDF]

Annales Geophysicae, 2007
This study examines the utility of the Empirical Mode Decomposition (EMD) time-series analysis technique to separate the horizontal wind field observed by the Scott Base MF radar (78° S, 167° E) into its constituent parts made up of the mean ...
A. J. McDonald, A. J. G. Baumgaertner, G. J. Fraser, S. E. George, S. Marsh   +4 more
doaj   +1 more source

Genipin‐Crosslinked, Silane‐Anchored 3D Tumor–Stroma Microtissues for High‐Content On‐Chip Drug Testing

Advanced Healthcare Materials, EarlyView.
We describe a microfluidic tumor‐stroma co‐culture model, engineered to resist collagen‐hydrogel contraction driven by fibroblast activity. Surface silanization with APTES covalently anchors the matrix to the chip, while Genipin crosslinking progressively increases stiffness and elasticity without harming cells. This supports >10 days of co‐culture and
Doriane Le Manach, Reza Kowsari‐Esfahan, Emilia Reszczyńska, Philippe Nghe, Matthias Nees   +4 more
wiley   +1 more source

A novel method to identify the flow pattern of oil–water two-phase flow

Journal of Petroleum Exploration and Production Technology, 2020
This paper presents a novel method combining extreme learning machine (ELM) and multiple empirical mode decomposition (MEMD) to identify flow patterns of oil–water two-phase flow. The proposed method can recognize accurately five typical flow patterns of
Zhong-Cheng Li, Chun-Ling Fan
doaj   +1 more source

Nanotherapies for Atherosclerosis: Targeting, Catalysis, and Energy Transduction

Advanced Healthcare Materials, EarlyView.
Atherosclerosis management is hindered by poor drug targeting and plaque heterogeneity. Nanotechnology overcomes these barriers via three core strategies: (1) target‐engineered nanocarriers that achieve lesion‐specific precision via ligand modification, biomimetic camouflage, stimuli‐responsive release, and self‐propelling nanomotors; (2) catalytic ...
Yuqi Yang, Jingguo Qu, Tonghuan Xiao, Xinyang Han, Michael Tin‐Cheung Ying   +4 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Mixed‐Metal Promotion in a Manganese‐Molybdenum Oxynitride as Catalyst to Integrate C─C and C─N Coupling Reactions for the Direct Synthesis of Acetonitrile from Syngas and Ammonia

Advanced Materials, EarlyView.
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje, Wilson Henao, Tania Rodenas, Patricia Concepción, Virginia Pérez Dieste, Alexander Missyul, Giovanni Agostini, Gonzalo Prieto   +7 more
wiley   +1 more source

Empirical mode decomposition-based face recognition system [PDF]

, 2013
In this work we explore the multivariate empirical mode decomposition combined with a Neural Network classifier as technique for face recognition tasks. Images are simultaneously decomposed by means of EMD and then the distance between the modes of the
Gallego Jutglà, Esteve, Lopez-de-Ipiña, Karmele, Solé-Casals, Jordi   +2 more
core  

Kernel methods for detecting coherent structures in dynamical data

, 2019
We illustrate relationships between classical kernel-based dimensionality reduction techniques and eigendecompositions of empirical estimates of reproducing kernel Hilbert space (RKHS) operators associated with dynamical systems.
Husic, Brooke E., Klus, Stefan, Mollenhauer, Mattes, Noé, Frank   +3 more
core   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source