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Improved Long Short-Term Memory based anomaly detection with concept drift adaptive method for supporting IoT services.

, , , , и . Future Gener. Comput. Syst., (2020)

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Yongliang Huang

Cheng-Yung Cheng

I-Fen Cheng

Ying Min Cheng

Qing-Qi Cheng

 

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Semi-supervised Variational Temporal Convolutional Network for IoT Communication Multi-anomaly Detection., и . CoRR, (2021)Endocrine Intelligent Control of Thrust Hydraulic System for TBM., , , и . ICIRA (2), том 8103 из Lecture Notes in Computer Science, стр. 720-726. Springer, (2013)Improved Long Short-Term Memory based anomaly detection with concept drift adaptive method for supporting IoT services., , , , и . Future Gener. Comput. Syst., (2020)A novel directional and non-local-convergent particle swarm optimization based workflow scheduling in cloud-edge environment., , , , , , , и . Future Gener. Comput. Syst., (2019)Semi-supervised Variational Temporal Convolutional Network for IoT Communication Multi-anomaly Detection., , и . CCRIS, стр. 67-73. ACM, (2022)HS-TCN: A Semi-supervised Hierarchical Stacking Temporal Convolutional Network for Anomaly Detection in IoT., , , и . IPCCC, стр. 1-7. IEEE, (2019)Improved Particle Swarm Optimization Based Workflow Scheduling in Cloud-Fog Environment., , , , , , и . Business Process Management Workshops, том 342 из Lecture Notes in Business Information Processing, стр. 337-347. Springer, (2018)Leveraging Semisupervised Hierarchical Stacking Temporal Convolutional Network for Anomaly Detection in IoT Communication., , , и . IEEE Internet Things J., 8 (1): 144-155 (2021)Dynamic Security Exchange Scheduling Model for Business Workflow Based on Queuing Theory in Cloud Computing., , , , , и . Secur. Commun. Networks, (2020)