Results 91 to 100 of about 8,888,697 (293)

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

Sensors, 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, Shoaib Ehsan, Syed Muhammad Umer Abdullah, Muhammad Jehanzaib Akhtar, Danilo P. Mandic, Klaus D. McDonald-Maier   +5 more
doaj   +1 more source

Poverty Growth in Scandinavian Countries: A Sen Multi-decomposition [PDF]

We show in this paper that the growth rate of the Sen index is multi-decomposable, that is, decomposable simultaneously by groups and income sources.
Maria Noel Pi Alperin, Stéphane Mussard
core  

Guanosine‐Quadruplex Hydrogels as Dynamic, Mechanically Tunable and Ion Conductive 3D Scaffolds for Cell Culture Applications

Advanced Functional Materials, EarlyView.
Versatile guanosine‐quadruplex (GQ) hydrogels are developed as dynamic biomatrices for cell culture. These scaffolds are fabricated under mild aqueous conditions, present improved stability, tunable mechanical properties within physiological ranges; fibrillar, porous microstructure, ion conductivity, and cytocompatibility.
Neha Thakur, Minye Jin, Pavel Milkin, Deepa Negi, Carla Cofiño Fabres, Hubert Gojzewski, Leonid Ionov, Alla Synytska, Andries van der Meer, Robert Passier, Julieta I. Paez   +10 more
wiley   +1 more source

Role of Structural Disorder on Phonon Transport and Thermal Conductivity in Li6PS5Br

Advanced Functional Materials, EarlyView.
Solid electrolytes are fast ion and slow heat conductors. Although both transport properties are governed by lattice dynamics and atomic structure, their interplay remains poorly understood. Here, we study this interrelation in anion‐ordered and disordered Li6PS5Br.
Lukas Ketter, Ryoma Sasaki, Kyra Strotmann, Wolfgang G. Zeier, Yoshitaka Tateyama   +4 more
wiley   +1 more source

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

IEEE 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, Boyong Gao, Ziqi Xia, Jie Liu   +3 more
doaj   +1 more source

Unexpected Asymmetric Mn‐Sb Site Mixing and Reentrant Spin‐Glass State of MnSb2Te4

Advanced Functional Materials, EarlyView.
MnSb2Te4 is an intrinsic magnetic topological insulator. Its properties are extraordinarily sensitive to tiny defects, making structural studies essential for understanding how magnetism and topology work together. This work shows that Mn can be unevenly distributed within the crystal and how that disorder is linked to a newly reported spin‐glass state
Gustavo Chavez Ponce de Leon, Ahmad Dibajeh, Gert ten Brink, Majid Ahmadi, Suyang Sun, Wei Zhang, Bart Jan Kooi, George Palasantzas   +7 more
wiley   +1 more source

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

Mathematics
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, Andrew Fish, Diwei Zhou, Katerina Tsakiri, Antonios Marsellos   +4 more
doaj   +1 more source

Multidimensional‐Encoded High‐Fidelity Spectrometers With a Floating‐Base Bipolar Junction

Advanced Functional Materials, EarlyView.
A floating‐base bipolar junction photodetector enables multidimensional spectral encoding through synergistic gate‐ and drain‐bias modulation of interfacial barrier matching. The resulting complementary spectral responses form a diverse, weakly correlated response matrix, enabling robust and high‐fidelity spectral reconstruction even at sub‐nanoampere ...
Sang‐Hyeon Lee, Junho Min, Yonas Tsegaye Megra, Min‐Hye Jeong, Hwi Je Woo, Jaewon Han, Junheon Ha, Gyunghyun Jang, Young Jae Song, Hyun‐Soo Ra, Hoon Hahn Yoon, Jong‐Soo Lee   +11 more
wiley   +1 more source

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

Journal 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

Decomposition Tool for Event-B

, 2011
Two methods have been identified for Event-B model decomposition: shared variable and shared event. The purpose of this paper is to introduce the two approaches and the respective tool support in the Rodin platform. Besides alleviating the complexity for
Silva, Renato, Thai Son Hoang, Hoang, Thai Son, Carine Pascal, Renato Silva, Butler, Michael, Pascal, Carine, Michael Butler   +7 more
core   +1 more source