Search Results - "anomaly identification"

Achieving Secure On-Orbit Anomaly Identification and Query of Wind Turbines

Kong, Q., Zhang, S., Wen, S., Chen, B., Wang, X.

Primary-Attribute-Migration-Based Anomalous Event Detection in Digital-Twin-Enabled Device-Edge–Cloud Network

Tang, J., Kong, D., Ma, X., Li, R., Wu, Y., Zhou, Z.

Anomaly Identification Method for the Detection Process of Determining Formaldehyde Emission From Wood-Based Panels by the Chamber Method Using GCN-BiLSTM Model

Jiao, Q., Wang, K., Lin, B., Chen, Z., Xu, G., Ye, J., Zhu, M., Zhang, Y.

SVM-based Anomaly Detection in IoT- Enabled Microelectronic Systems

M, Arun Kumar C., S, Muthukkumar M., K, Swaminathan

2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS)

Research on an Intelligent Identification Method for Carbon Monitoring Big Data Anomaly Based on Improved Support Vector Machine

Kang, Wenni, Xia, Xuwei, Sha, Jiangbo, Zhu, Dongge, Liu, Jia, Chen, Yiyan, Lin, Mingxia

2024 6th International Conference on Energy, Power and Grid (ICEPG)

A Deep Learning Framework for Effective Anomaly Detection in Time Series Data

Sathe, Rupali, Shinde, Shilpa

2024 4th Asian Conference on Innovation in Technology (ASIANCON)

AI-Powered Anomaly and Threat Detection for Surveillance Footage Analysis

Sivapriya, J, Ramani, D Roja, Srivastava, Rahul Pratap, Kumar, Kaushik, Nair, Rahul Vivek

2024 8th International Conference on Inventive Systems and Control (ICISC)

A Model for the Identification of Anomalous Fishing Vessels Using Data Association and Route Prediction Techniques

Papoudos, Ioannis, Guida, Raffaella, Rodger, Maximilian, Iervolino, Pasquale

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium

Anomaly Identification for Cyber-Physical Systems Subject to Replay Attacks and Sensor Faults

Hu, Y., Dai, X., Cui, D., Liu, Q.

The identification method of station-household relationship based on voltage characteristic analysis

Shang, Hao, Zhang, Muxin, Shang, Ying

2024 4th International Conference on Electronics, Circuits and Information Engineering (ECIE)

An Identification Method for Anomaly Types of Active Distribution Network Based on Data Mining

Wang, S., Lu, T., Hao, R., Li, J., Guo, Y., He, X., Han, X.

Anomaly Detection-Oriented Positive-Unlabeled Metric Learning for Extracting High-Dimensional Geochemical Anomalies Linked to Mineralization: Anomaly Detection-Oriented Positive-Unlabeled Metric Learning

Yang, Zhaorui, Chen, Yongliang^{Aff1, IDs11053025104643_cor1}

Geological Knowledge-Embedding Transfer-Learning Architecture for Geochemical Anomaly Identification

Shi, Luyi, Zuo, Renguang^{Aff1, IDs11004025101909_cor1}

Targeting Insider Threats and Zero-Day Vulnerabilities with Advanced Machine Learning and Behavioral Analytics

Wategaonkar, Somnath Raghunath, Tamara Shaki, Alakbarova, Ali, Abbasova Parvin, Javanshir Ibrahim, Zeynalov, Jayanthi, L. N., Nalini Jayanthi, S.

2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM)

AI Use in Enhancing Cybersecurity for Safeguarding Digital Information

Wang, Ruibin

2023 International Conference on Applied Physics and Computing (ICAPC)

Deep Learning-based Intelligent Algorithms for Effective Transmission Authentication and Anomaly Identification in Vehicular Networks

Marappan, Sibi, Marappan, Harshini

2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)

An Effective Channel and Spatial Attention based Parallel Convolutional Model for Micro-Service System Anomaly Multi-Classification

Wen, Peian, Li, Xi, Chen, Peng, Niu, Xianhua, Xu, Lei, Chen, Juan, Qi, Sibo

2023 2nd International Conference on Machine Learning, Control, and Robotics (MLCR)

A Method of Axis Trajectory Measurement Based On Laser Ranging

Hu, Binghua, Li, Ningning, Yan, Hui, Chen, Haiyang

2023 China Automation Congress (CAC)

Online and Offline Identification of False Data Injection Attacks in Battery Sensors Using a Single Particle Model

O'Brien, V.A., Rao, V.S., Trevizan, R.D.

Research on Anomaly Identification of PV Power Station Operation Data Based on Fuzzy Association Rules

Tang, R., Zhu, W., He, Y.