Results 101 to 110 of about 8,406,664 (294)

Multi-Scale Pixel-Based Image Fusion Using Multivariate Empirical Mode Decomposition

open access: yesSensors, 2015
A novel scheme to perform the fusion of multiple images using the multivariate empirical mode decomposition (MEMD) algorithm is proposed. Standard multi-scale fusion techniques make a priori assumptions regarding input data, whereas standard univariate ...
Naveed ur Rehman   +5 more
doaj   +1 more source

Comparative Performance and Partial Load Cycling of Sodium‐Metal Chloride Battery Modules With Mixed‐Metal Fe,Zn and Ni,Fe Cells

open access: yesAdvanced Functional Materials, EarlyView.
Sustainable Na‐(Fe,Zn)Cl2 battery modules deliver discharge energies comparable to state‐of‐the‐art Na‐(Ni,Fe)Cl2 batteries through high active‐material utilization, although with lower power capability. Advanced electrochemical characterization reveals a distinct reaction mechanism and low resistance during Fe dechlorination.
Enea Svaluto‐Ferro   +10 more
wiley   +1 more source

Local-Global and Multi-Scale (LG-MS) Mixer Architecture for Long-Term Time Series Forecasting

open access: yesIEEE Access
Although deep learning models dominate time series forecasting, they still struggle with long-sequence processing due to the challenges of extracting dynamic fluctuations and pattern features as input length increases.
Zhennan Peng   +3 more
doaj   +1 more source

CO2‐to‐CO Conversion in a Gas‐Fed, Zero‐Gap, PEM Electrolyzer Enabled by Polycations and Nitrogen‐Doped Carbon‐Supported Cobalt Nanoparticles

open access: yesAdvanced Functional Materials, EarlyView.
A gas‐fed, zero‐gap, PEM CO2 electrolyzer is realized by incorporating PDDA+ ions onto the carbonaceous Co/N‐C electrocatalyst, with gaseous H2 and CO2 fed into the anode and cathode, respectively. Operating without an aqueous electrolyte, the system sustains a peak FECO of 65.1% at 100 mA cm−2. ABSTRACT Electrochemical carbon dioxide reduction (ECO2R)
Yuen Leong Chow   +6 more
wiley   +1 more source

Interpretable time-frequency collaboration and multi-scale learning for adaptive classification of long time series

open access: yesJournal of King Saud University: Computer and Information Sciences
The coupling of multi-scale temporal-frequency structures in long time-series data increases the difficulty of representation learning, while inconsistency in cross-domain distributions further limits the stability and generalization ability of ...
Huimin Jiang
doaj   +1 more source

High‐Efficiency Deep Blue Single‐Gaussian Europium(II) Emitters and Their Emitter‐Host Interactions

open access: yesAdvanced Functional Materials, EarlyView.
Crown‐ether ligands and carborate anions enable vacuum‐processable Eu(II) emitters with efficient single‐Gaussian deep‐blue luminescence. Combined photophysical and computational analyses reveal that excited‐electron confinement and steric shielding of the europium center jointly govern compatibility with OLED host materials, establishing molecular ...
Mahmoud Soleimani   +8 more
wiley   +1 more source

Multi-Scale Decomposition and Autocorrelation Modeling for Classical and Machine Learning-Based Time Series Forecasting

open access: yesMathematics
Environmental time series, such as near-surface air temperature, exhibit strong multi-scale structure and persistent autocorrelation. Accurate forecasting therefore requires careful consideration of both temporal scale separation and serial dependence ...
Khawla Al-Saeedi   +4 more
doaj   +1 more source

Fusion of infrared and visible images with Gaussian smoothness and joint bilateral filtering iteration decomposition

open access: yesIET Computer Vision, 2019
Edge‐preserving filters have been applied to Multi‐Scale Decomposition (MSD) for fusion of infrared and visible images. Traditional edge‐preserving MSDs may hardly make satisfied structural separation from details to cause fusion performance degradation.
Changda Xing   +3 more
doaj   +1 more source

Autonomous Multi‐Objective Nanoscale Characterization of Combinatorial (Al, Sc, B)N Films Reveals Composition‐Dependent Ferroelectric Regimes

open access: yesAdvanced Functional Materials, EarlyView.
Autonomous scanning probe microscopy and multi‐objective Bayesian optimization navigate a ternary (Al,Sc,B)N combinatorial library. Registered photoluminescence, electron‐probe compositional mapping, and X‐ray diffraction connect local electromechanical function to defect‐sensitive emission, composition, and crystal structure.
Yu Liu   +12 more
wiley   +1 more source

Feature Extraction and Simulation of EEG Signals During Exercise-Induced Fatigue

open access: yesIEEE Access, 2019
Accurate extraction of EEG signal characteristics during exercise fatigue can provide a scientific basis for sports fatigue detection and exercise fatigue injury treatment.
Zhongwan Yang, Huijie Ren
doaj   +1 more source

Home - About - Disclaimer - Privacy