0000000000618715

AUTHOR

Dan Luo

showing 2 related works from this author

Dpp signaling inhibits proliferation in the Drosophila wing by Omb-dependent regional control of bantam

2013

The control of organ growth is a fundamental aspect of animal development but remains poorly understood. The morphogen Dpp has long been considered as a general promoter of cell proliferation during Drosophila wing development. It is an ongoing debate whether the Dpp gradient is required for the uniform cell proliferation observed in the wing imaginal disc. Here, we investigated how the Dpp signaling pathway regulates proliferation during wing development. By systematic manipulation of Dpp signaling we observed that it controls proliferation in a region-specific manner: Dpp, via omb, promoted proliferation in the lateral and repressed proliferation in the medial wing disc. Omb controlled th…

medicine.medical_specialtyanimal structuresMicroRNA GeneNerve Tissue ProteinsBiologyTranscription (biology)Internal medicinemedicineAnimalsDrosophila ProteinsWings AnimalMolecular BiologyDpp signaling pathwayBody PatterningCell ProliferationWingCell growthAnimal developmentCell biologyMicroRNAsImaginal discEndocrinologyDrosophilaT-Box Domain ProteinsSignal TransductionDevelopmental BiologyMorphogenDevelopment
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An Encrypted Traffic Classification Framework Based on Convolutional Neural Networks and Stacked Autoencoders

2020

In recent years, deep learning-based encrypted traffic classification has proven to be effective; especially, using neural networks to extract features from raw traffic to classify encrypted traffic. However, most of the neural networks need a fixed-sized input, so that the raw traffic need to be trimmed. This will cause the loss of some information; for example, we do not know the number of packets in a session. To solve these problems, a framework, which implements both a convolutional neural network (CNN) and a stacked autoencoder (SAE), is proposed in this paper. This framework uses a CNN to extract high-level features from raw network traffic and uses an SAE to encode the 26 statistica…

Artificial neural networkbusiness.industryNetwork packetComputer scienceDeep learningFeature extraction020206 networking & telecommunicationsPattern recognition02 engineering and technologyEncryptionAutoencoderConvolutional neural networkTraffic classification0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligencebusiness2020 IEEE 6th International Conference on Computer and Communications (ICCC)
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