Results 171 to 180 of about 7,892 (282)

Towards intelligent air quality forecasting using integrated machine learning framework with variational mode decomposition and catboost feature selection. [PDF]

Sci Rep
Ahmadianfar I, Yaseen ZM, Marhoon HA, Halder B, Tan ML, Kilinc HC, Abba SI, Heddam S, Goliatt L, Demir V, Al-Areeq AM.   +10 more
europepmc   +1 more source

Interfacial Acid Sites‐Mediated ZnO‐Based Electrocatalysts for Sustainable Dual‐Pathway H2O2 Production and Rechargeable Zn‐H2O2 Electrochemical Cell

Advanced Materials, EarlyView.
In this work, a synergistic strategy introduces interfacial acid sites, oxygen vacancies, and built‐in electric field into ZnSe/ZnO heterojunction to optimize its electronic structure and electrode micro‐environment. This overcomes sluggish oxygen reduction reaction kinetics and low H2O2 selectivity, achieving record H2O2 productivity (754.4 M gcat−1 ...
Lijun Yang, Sitong Liu, Wencheng He, Fengzhan Sun, Shubing Bi, Hongge Pan, Lingfeng Zhu, Tianyi Ma, Lei Zhang   +8 more
wiley   +1 more source

Multiresolution granger causality testing with variational mode decomposition: a python software. [PDF]

J Appl Stat
Saâdaoui F, Rabbouch H.
europepmc   +1 more source

High Center‐of‐Mass, Multi‐Legged Soft Robots Powered by Geometrically Encoded Liquid Crystal Elastomer Arc Appendages

Advanced Materials, EarlyView.
Inspired by the octopus and the golden wheel spider, soft robots with liquid crystal elastomer arc fibers as appendages are fabricated to transcend surface constraints through an elevated center of mass and minimal contact footprints. By leveraging curvature‐encoded deformation‐recovery cycles, these robots exhibit contractile, torsional, and flexural ...
Jong Bin Kim, Antonio Proctor Martinez, Yaoye Hong, Ziyun Zhang, Kun‐Yu Wang, Shu Yang   +5 more
wiley   +1 more source

Wind turbine bearing fault classification identification based on optimized variational mode decomposition and convolutional neural network-bidirectional gated recurrent unit-Attention. [PDF]

Sci Prog
Tang M, Tao Z, Wang C, Wang H, Zhang K, Rao C, Sardor D.   +6 more
europepmc   +1 more source

A Multistep Prediction Model for the Vibration Trends of Hydroelectric Generator Units Based on Variational Mode Decomposition and Stochastic Configuration Networks. [PDF]

Sensors (Basel), 2023
Yan S, Chen F, Yang J, Zhao Z.
europepmc   +1 more source

Enhanced Photocatalytic H2O2 Production on Terpyridine‐Based Acrylonitrile‐Linked Covalent Organic Frameworks with Asymmetric Localized Electron Distribution

Advanced Materials, EarlyView.
Asymmetric localized electron distribution has been optimized in covalent organic frameworks to enhance *O2 adsorption and facilitate charge transfer, boosting photocatalytic two‐electron transfer oxygen reduction toward H2O2 production from water and air.
Qinglan Zhao, Mengmeng Ce, Hengtao Lei, Tianyun Jin, Zhipeng Xie, Yushen Liu, Shengyi Yang, Xinwen Ou, Mohammad Farhadpour, Song‐Zhu Kure‐Chu, Xuan‐He Liu, Liang Zhang, Jimmy C. Yu   +12 more
wiley   +1 more source

A hybrid variational mode decomposition framework for enhanced cardiac output estimation using impedance cardiography. [PDF]

Sci Rep
Kumari PD, Singh KM, Mayaluri ZL, Sahoo PK, Lenka S, Panda G, Agir SK.   +6 more
europepmc   +1 more source

Surface‐Functionalized LLZO‐Incorporated Multilayer Composite Solid Electrolytes for Dendrite Suppression and Efficient Ionic Conduction in Lithium–Metal Batteries

Advanced Materials, EarlyView.
A soft–hard tri‐layer composite electrolyte that couples fast Li+ transport with reinforced interfacial stability to enable high‐conductivity, mechanically robust, dendrite‐free lithium‐metal batteries. ABSTRACT The development of solid polymer electrolytes is central to safe, high‐energy lithium‐metal batteries (LMBs); however, persistent challenges ...
Fazal Ur Rehman, Minhong Woo, Hyesoo Choi, Jihwan Kim, Yujin Kim, Sanghee Park, Serim Ahn, Jinsub Lim, Minyoung Kim, Mincheol Chang   +9 more
wiley   +1 more source

Seismic random noise separation and suppression based on improved variational mode decomposition via grey wolf optimization. [PDF]

PLoS One
Yao Z, Li W, Zhu J, Hao L, Xing M.
europepmc   +1 more source