Results 221 to 230 of about 2,375,927 (379)

A novel integration of Hodrick-Prescott filter (Hp-filter) and wavelet transform (WT) with optimize support vector machine (PSO-SVM) in predicting solar radiation. [PDF]

Sci Rep
Pal Shuvo S, Pal Shibazee S, Paul G, Paul Mita M, Das C, Malakar K.   +5 more
europepmc   +1 more source

Defects in Inorganic Mechanoluminescent Phosphors: Insights and Impacts

Advanced Functional Materials, EarlyView.
Mechanoluminescence is attracting more attention recently, and defect dominates mechanoluminescence performances. Investigating how defects work in the mechanoluminescence process is crucial for elucidating its complex luminescence mechanism. This review aims to emphasize the fundamental role of defects in mechanoluminescence, which offers an ...
Wenhao Li, Sheng Wu, Jing Ren, Puxian Xiong   +3 more
wiley   +1 more source

Wavelet transform-based mode decomposition for EEG signals under general anesthesia. [PDF]

PeerJ
Yamochi S, Yamada T, Obata Y, Sudo K, Kinoshita M, Akiyama K, Sawa T.   +6 more
europepmc   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

Advanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Jordi Llorca, Lluís Soler   +4 more
wiley   +1 more source

Integrative fault diagnostic analytics in transformer windings: Leveraging logistic regression, discrete wavelet transform, and neural networks. [PDF]

Heliyon
Baroumand S, Abbasi AR, Mahmoudi M.
europepmc   +1 more source

Bridging Theory and Experiment: Machine Learning Potential‐Driven Insights into pH‐Dependent CO₂ Reduction on Sn‐Based Catalysts

Advanced Functional Materials, EarlyView.
Machine learning potential (MLP) enables large‐scale molecular dynamics (MD) simulations, uncovering dynamic surface reconstruction of SnO₂ and SnS₂ under CO₂ reduction reaction condition. The negative dipole moments upon *OCHO adsorption are the primary factors driving the leftward shift of the volcano plot.
Yuhang Wang, Zelin Wu, Yingfang Jiang, Di Zhang, Qiang Wang, Congwei Wang, Huihui Li, Xue Jia, Jun Fan, Hao Li   +9 more
wiley   +1 more source

A Hybrid Deep Learning Approach for Bearing Fault Diagnosis Using Continuous Wavelet Transform and Attention-Enhanced Spatiotemporal Feature Extraction. [PDF]

Sensors (Basel)
Siddique MF, Saleem F, Umar M, Kim CH, Kim JM.   +4 more
europepmc   +1 more source

Thiol‐Modulation‐Induced Mesoporous Nanosheets with an Alloy/Intermetallic Heterophase for Efficient Electrochemical Ethylene Glycol‐Assisted Water Splitting

Advanced Functional Materials, EarlyView.
Sulfur‐capped mesoporous PtPbBi nanosheets (S‐PtPbBi MNSs) with an alloy/intermetallic compound heterophase and inhomogeneous tensile strain (≈3%) were synthesized by a thiol modification strategy, which exhibited excellent electrocatalytic performance for ethylene glycol oxidation reaction (EGOR).
Fukai Feng, Sumei Han, Chaoqun Ma, Xiao Ma, Gang Lin, Huaifang Zhang, Caihong He, Xinran Jiao, Xiangmin Meng, Wenbin Cao, Chongyi Ling, Lijie Zhu, Jing Xia, Qinbai Yun, Qipeng Lu   +14 more
wiley   +1 more source

Hybrid Coding of Image Sequences by Using Wavelet Transform [PDF]

, 2000
P. Radoczi, Dušan Levický, P. Petrulak, M. Surin   +3 more
openalex  

Modulating Oxide‐Based Quantum Materials by Ion Implantation

Advanced Functional Materials, EarlyView.
This review highlights how ion implantation, a well developed chip‐technology, enables targeted modulation of oxide‐based quantum materials. This includes tuning of metal‐insulator transitions, magnetism, and superconductivity through selective doping, defect creation, and induced lattice strain. Abstract Ion implantation has emerged as a powerful tool
Andreas Herklotz, Thomas Zac Ward, Shengqiang Zhou   +2 more
wiley   +1 more source