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Published in 2025 at "Advanced Functional Materials"
DOI: 10.1002/adfm.202505132
Abstract: Aqueous Zn‐I2 batteries (AZIBs) have garnered attention for their high energy density and safety. However, challenges such as polyiodide shuttling, side reactions, and uncontrolled dendrite growth have hindered their practical application. Herein, a polyzwitterionic gel…
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Keywords:
gel electrolyte;
dual optimization;
polyzwitterionic gel;
electrolyte dual ... See more keywords
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Published in 2025 at "Inorganic chemistry"
DOI: 10.1021/acs.inorgchem.5c03939
Abstract: Surface-enhanced Raman scattering (SERS) allows sensitive detection of low-concentration biomolecules by amplifying Raman signals through plasmonic nanoparticles (NPs) such as Au@Ag nanostructures possessing tailorable surface plasmon resonance (SPR). This study presents a seed-mediated growth approach…
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Keywords:
sers performance;
shell;
dual optimization;
nanocubes assembly ... See more keywords
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Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2024.3508785
Abstract: In recent years, Incomplete Multi-View Clustering (IMVC) has become an important and challenging task. Although several methods have been proposed to address IMVC, they still have the following drawbacks: i) Due to the presence of…
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Keywords:
view;
incomplete multi;
dual optimization;
view clustering ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3217542
Abstract: Deep learning, especially convolutional neural networks (CNNs), has shown very promising results for multispectral (MS) and hyperspectral (HS) image fusion (MS/HS fusion) task. Most of the existing CNN methods are based on “black-box” models that…
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Keywords:
network;
fusion;
spatial spectral;
spectral dual ... See more keywords
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Published in 2022 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2022.3150953
Abstract: Data representation techniques have made a substantial contribution to advancing data processing and machine learning (ML). Improving predictive power was the focus of previous representation techniques, which unfortunately perform rather poorly on the interpretability in…
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Keywords:
optimization;
kolmogorov model;
dual optimization;
enhanced gradient ... See more keywords