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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3418968
Abstract: Chronic wounds, known for their prolonged healing and the associated financial strain on patients, highlight the growing need for effective monitoring methods. One approach to handling chronic wounds involves monitoring biomarkers, with pH emerging as…
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Keywords:
rnn model;
prediction;
optimizing recurrent;
prediction system ... See more keywords
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Published in 2022 at "Journal of Educational Computing Research"
DOI: 10.1177/07356331221129765
Abstract: This study helps improve the early prediction of student performance by RNN-FitNets, which applies knowledge distillation (KD) to the time series direction of the recurrent neural network (RNN) model. The RNN-FitNets replaces the teacher model…
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Keywords:
rnn model;
rnn fitnets;
model;
time series ... See more keywords
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Published in 2025 at "Pollack Periodica"
DOI: 10.1556/606.2025.01271
Abstract: The rapid expansion of Internet of things networks has increased vulnerability to distributed denial of service attacks. This paper proposes a hybrid deep learning model that combines convolutional neural networks and recurrent neural networks for…
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Keywords:
deep cnn;
cnn rnn;
hybrid deep;
model ... See more keywords
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Published in 2021 at "Natural Hazards and Earth System Sciences"
DOI: 10.5194/nhess-21-1179-2021
Abstract: Abstract. With the global climate change and rapid urbanization, urban flood disasters spread and become increasingly serious in China. Urban rainstorms and waterlogging have become an urgent challenge that needs to be monitored in real…
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Keywords:
neural network;
urban waterlogging;
monitoring;
recurrent neural ... See more keywords