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Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data
Research article (Applied Sciences, 2020) · cited 19× · AI/ML
Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data
Summary
Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data is a scholarly article[1].
Key Facts
Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/investigation-of-dual-flow-deep-learning-models-lstm-fcn-and-gru-fcn-efficiency-against-single-flow-cnn-models-for-the-h
MLA“Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/investigation-of-dual-flow-deep-learning-models-lstm-fcn-and-gru-fcn-efficiency-against-single-flow-cnn-models-for-the-h.
BibTeX@misc{4ortxyz_investigation-of-dual-flow-deep-learning-models-lstm-fcn-and-gru-fcn-efficiency-against-single-flow-cnn-models-for-the-h_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data}}, year = {2026}, url = {https://4ort.xyz/entity/investigation-of-dual-flow-deep-learning-models-lstm-fcn-and-gru-fcn-efficiency-against-single-flow-cnn-models-for-the-h}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data — https://4ort.xyz/entity/investigation-of-dual-flow-deep-learning-models-lstm-fcn-and-gru-fcn-efficiency-against-single-flow-cnn-models-for-the-h (retrieved 2026-05-24)
