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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-65777-9
Abstract: Recently, generative models have been gradually emerging into the extended dataset field, showcasing their advantages. However, when it comes to generating tabular data, these models often fail to satisfy the constraints of numerical columns, which…
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Keywords:
downstream;
tabular data;
generation framework;
data generation ... See more keywords
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Published in 2025 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2024.3524554
Abstract: Sensing-aided communication is a key element of future 6G networks, with LiDAR widely used in mmWave vehicular communications for its precise geometric data. However, the limited field of view of vehicle-mounted LiDAR often results in…
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Keywords:
ellipsoid windowing;
eliam ellipsoid;
windowing based;
generation framework ... See more keywords
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Published in 2024 at "IEEE Transactions on Electron Devices"
DOI: 10.1109/ted.2023.3291333
Abstract: The Reaction-Diffusion-Drift model is validated as a trap generation framework during Bias Temperature Instability (BTI), Stress Induced Leakage Current (SILC), and Time Dependent Dielectric Breakdown (TDDB) experiments. The model is implemented in standalone and Technology…
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Keywords:
generation;
stress;
trap generation;
model ... See more keywords
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Published in 2022 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2022.3179594
Abstract: The generation of collective preference assessments occupies a critical position in deriving accurate and reliable alternative rankings in the context of large-scale group decision making (LSGDM). In general, the collective opinion generation framework entails the…
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Keywords:
collective opinion;
generation;
generation framework;
opinion generation ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3202842
Abstract: The field of fashion compatibility learning has attracted great attention from both the academic and industrial communities in recent years. Many studies have been carried out for fashion compatibility prediction, collocated outfit recommendation, artificial intelligence…
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Keywords:
generation framework;
fashion;
fashion items;
outfit generation ... See more keywords
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Published in 2023 at "Micromachines"
DOI: 10.3390/mi14061150
Abstract: With the rapid development of semiconductor technology, traditional equation-based modeling faces challenges in accuracy and development time. To overcome these limitations, neural network (NN)-based modeling methods have been proposed. However, the NN-based compact model encounters…
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Keywords:
physics;
neural network;
generation framework;
physics informed ... See more keywords