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Published in 2021 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.113731
Abstract: Abstract An accurate forecast of wind power is very important in terms of economic dispatch and the operation of power systems. However, effectively mitigating the risks arising from wind power in power system operations greatly…
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Keywords:
wind power;
improved residual;
power forecasting;
power ... See more keywords
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Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac532
Abstract: MOTIVATION 5-Methylcytosine (m5C) is a crucial post-transcriptional modification. With the development of technology, it is widely found in various RNAs. Numerous studies have indicated that m5C plays an essential role in various activities of organisms,…
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Keywords:
residual network;
deep fusion;
methylcytosine;
model ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3169159
Abstract: To solve the problem of the low efficiency of traditional lettuce freshness classification methods and sample damage, we proposed an automatic lettuce freshness classification method based on improved deep residuals convolutional neural network (Im-ResNet). We…
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Keywords:
network;
classification;
lettuce;
lettuce freshness ... See more keywords
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Published in 2022 at "Journal of Healthcare Engineering"
DOI: 10.1155/2022/9585344
Abstract: Diabetic retinopathy is a main cause of blindness in diabetic patients; therefore, detection and treatment of diabetic retinopathy at an early stage has an important effect on delaying and avoiding vision loss. In this paper,…
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Keywords:
retinopathy;
classification;
attentional mechanisms;
diabetic retinopathy ... See more keywords