Results 81 to 90 of about 64,008 (285)

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

IET 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, Zhisheng Wang, Fanliang Meng, Chong Dong   +3 more
doaj   +1 more source

Unraveling the Mg Loss Mechanism and Degradation Kinetics in Thermoelectric n‐Type Mg2Si‐Mg2Sn Solid Solutions

Advanced Functional Materials, EarlyView.
Mg‐based thermoelectrics are among the most promising candidates for power generation applications but their performance is compromised by Mg loss at device operation temperatures due to the higher chemical potential of Mg (μMg${\mu}_{\mathrm{Mg}}$) inside the material compared to the environment.
Aryan Sankhla, Eckhard Mueller, Johannes de Boor   +2 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

Bidimensional Multivariate Empirical Mode Decomposition With Applications in Multi-Scale Image Fusion

IEEE Access, 2019
Empirical mode decomposition (EMD) is a fully data-driven technique designed for multi-scale decomposition of signals into their natural scale components, called intrinsic mode functions (IMFs).
Yili Xia, Bin Zhang, Wenjiang Pei, Danilo P. Mandic   +3 more
doaj   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Unraveling Network Dynamics via Riemannian Multi-Scale Decomposition

AbstractUnderstanding the temporal dynamics of high-dimensional, time-varying systems is a fundamental challenge across scientific disciplines. Existing methods primarily model the temporal evolution of sensor readouts while often assuming that the correlations between different components of the observed signal are static or neglecting them entirely ...
Yonatan Kleerekoper, Mohammad Kurtam, Yonatan Keselman, Amir Ghanayim, Jackie Sciller, Simon Musall, Yitzhak Schiller, Hadas Benisty   +7 more
openaire   +1 more source

Synergistic Compatibilization of CsPbBr3 Perovskites and HfO2 Nanocrystals for Hybrid Sensitized Nanoscintillators

Advanced Functional Materials, EarlyView.
Lead halide perovskite nanocrystals are promising scintillators but suffer from reabsorption losses and limited compatibility with high‐Z additives. Hybridization of CsPbBr3 nanocrystals with PbBr2‐passivated HfO2 nanoparticle sensitizers, achieved during or after synthesis, produces stable composites with maintained optical quality, improved ...
Francesco Bruni, Saptarshi Chakraborty, Andrea Fratelli, Abdessamad El Adel, Jordi Llusar, Francesco Carulli, Matteo L. Zaffalon, Chenger Wang, Vojtech Zabloudil, Etiennette Auffray, Francesco Meinardi, Leonardo Poletti, Laura Lazzarini, Daniela Manno, Anna Galli, Francesca Rossi, Ivan Infante, Sergio Brovelli   +17 more
wiley   +1 more source

A multi-scale fusion prediction method for lithium-ion battery capacity based on ensemble empirical mode decomposition and nonlinear autoregressive neural networks [PDF]

, 2019
Pei Wang, Dan Xue, Yong Yang
openalex   +1 more source

Solar Heating Enhanced Selective Recovery of Metal Ions Through Flowing Electrodes Enabled by Hybrid Carbon Nanostructures

Advanced Functional Materials, EarlyView.
A new electrochemical system based on a microporous hybrid of carbon nanoplatelets and nanotubes to selectively capture Ni2+ from wastewater is constructed. The system temperature rises rapidly when irradiated with sunlight, which enhances the Ni2+ removal rate by 250% and the selectivity by 53%, and the energy consumption is also reduced by 51 ...
Ziquan Wang, Jiaqi Chen, Qiuru Lin, Mingxing Liang, Bo Yang, Yantao Chen, Minjun Kim, Yusuke Yamauchi, Stephen J. Eichhorn, Zhiqun Lin, Magdalena Titirici, Libo Deng   +11 more
wiley   +1 more source

Melt Grafting of Geometry‐Tailored Voltage Stabilizers for High‐Performance Polypropylene Insulation

Advanced Functional Materials, EarlyView.
A scalable one‐step melt grafting strategy is developed to enhance the dielectric properties of isotactic polypropylene by covalently incorporating thermally stable aromatic voltage stabilizers. This solvent‐free approach improves volume resistivity and DC breakdown strength through deep trap formation and charge localization, offering a sustainable ...
Nazirul Mubin bin Normansah, Taehoon Kwon, Hana Kim, Shin‐Ki Hong, Seung Won Lee, Se Hee Lee, Ik‐Su Kwon, Masahiro Kozako, Minhee Kim, Seunggun Yu   +9 more
wiley   +1 more source