xlSQ22
commented
8 months ago Hi, 121Hq~ 1.Have you reproduced the results of these two deep learning methods? 2.Our research direction is similar, is it convenient to leave a contact information for follow-up communication?
Hello, thank you for your response. Now there is a question: var-CNN: automatically extracting features from the raw data with ResNet-18 and provide seven basic cumulative features to the model. DF: consider only the direction of the packets and 5,000 cells 1.The datasets and features of the three are different, and the dimensions are also different. How did you do the comparative experiments on these two models? 2.Did you reprocess your own dataset according to the feature processing methods of the two? Do you have any relevant code? 3.How are the labels handled when inputting the dataset into DF and var-cnn? Can I see the processed dataset or datasets Pictures?