Articles with "dual optimization" as a keyword



Polyzwitterionic Gel Electrolyte: Dual Optimization of Polyiodide Shuttle Suppression and Anode Stabilization in Aqueous Zn‐I2 Batteries

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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… read more here.

Keywords: gel electrolyte; dual optimization; polyzwitterionic gel; electrolyte dual ... See more keywords

Dual Optimization of Shell and Interparticle Gaps in Plasmonic Au@Ag Nanocubes Assembly for Hot Spot-Driven SERS Performance.

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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… read more here.

Keywords: sers performance; shell; dual optimization; nanocubes assembly ... See more keywords

Deep Incomplete Multi-View Clustering via Dynamic Imputation and Triple Alignment With Dual Optimization

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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… read more here.

Keywords: view; incomplete multi; dual optimization; view clustering ... See more keywords

A Spatial–Spectral Dual-Optimization Model-Driven Deep Network for Hyperspectral and Multispectral Image Fusion

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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… read more here.

Keywords: network; fusion; spatial spectral; spectral dual ... See more keywords

Dual Optimization for Kolmogorov Model Learning Using Enhanced Gradient Descent

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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… read more here.

Keywords: optimization; kolmogorov model; dual optimization; enhanced gradient ... See more keywords