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Published in 2023 at "ACS applied materials & interfaces"
DOI: 10.1021/acsami.2c21901
Abstract: Catalytic nanomedicine can in situ catalytically generate bactericidal species under external stimuli to defend against bacterial infections. However, bacterial biofilms seriously impede the catalytic efficacy of traditional nanocatalysts. In this work, MoSe2 nanoflowers (NFs) as…
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Keywords:
bacterial biofilms;
dual driven;
mose2 nfs;
catalytic eradication ... See more keywords
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Published in 2025 at "Physics of Fluids"
DOI: 10.1063/5.0253146
Abstract: The construction of seepage surrogate models is the frontier of simulation technology research for oil and gas reservoirs. However, the currently widely used pure data-driven seepage surrogate models have no theoretical support and require high…
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Keywords:
dual driven;
surrogate model;
seepage surrogate;
driven seepage ... See more keywords
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Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3387538
Abstract: Knowledge and data dual-driven (KDDD) represents a novel paradigm that leverages the strengths of data-driven methods in feature representation and knowledge transfer, while also incorporating expertise accumulated by domain experts. This integration allows KDDD methods…
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Keywords:
data dual;
knowledge;
survey;
dual driven ... See more keywords
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Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3574906
Abstract: Large-scale integration of plug-in electric vehicles (PEVs) will impact the planning and operation of power systems. Accurately identifying PEVs serves as a crucial prerequisite for the establishment of charging station infrastructure. Existing methods for PEV…
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Keywords:
data dual;
dual driven;
model;
identification ... See more keywords
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Published in 2024 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2023.3316197
Abstract: Automatic modulation classification (AMC) is of crucial importance in the sixth generation wireless communication networks. Deep learning (DL)-based AMC schemes have attracted extensive attention due to their superior accuracy compared with the conventional methods. However,…
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Keywords:
classification;
automatic modulation;
knowledge dual;
knowledge ... See more keywords
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Published in 2024 at "Geology"
DOI: 10.1130/g52970.1
Abstract: Mineral prospectivity mapping (MPM) is recognized as an essential tool for targeting new mineral deposits. MPM typically comprises two end-member approaches: knowledge-driven and data-driven. Knowledge-driven MPM relies on expert knowledge, which is based on causal…
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Keywords:
knowledge dual;
dual driven;
driven model;
data driven ... See more keywords