Online and Offline Identification of False Data Injection Attacks in Battery Sensors Using a Single Particle Model by Victoria A. O'Brien, Vittal S. Rao, Rodrigo D. Trevizan

Subjects: “…Anomaly detection…”
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Unsupervised Anomaly Detection With Variational Autoencoders Applied to Full‐Disk Solar Images by Marius Giger, André Csillaghy

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AnomLite: Efficient binary and multiclass video anomaly detection by Anna K. Zvereva, Mariam Kaprielova, Andrey Grabovoy

Subjects: “…Anomaly detection…”
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Anomaly Detection and Business Process Orchestration for Low-Code Platform in Power System Based on Deep-Cross Model With Data Balancing by Jin Huang, Ming Sheng Xu, Chang Ming Zhu, Guo An Wang

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Application of IoT and blockchain technology in the integration of innovation and industrial chains in high-tech manufacturing by Zepei Li, Peng Zheng, Yanjia Tian

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TCN-Based DDoS Detection and Mitigation in 5G Healthcare-IoT: A Frequency Monitoring and Dynamic Threshold Approach by Mirza Akhi, Ciaran Eising, Lubna Luxmi Dhirani

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Anomaly Detection and Root Cause Analysis for Energy Consumption of Medium and Heavy Plate: A Novel Method Based on Bayesian Neural Network with Adam Variational Inference by Qiang Guo, Fenghe Li, Hengwen Liu, Jin Guo

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A big data based flow anomaly detection mechanism of electric power information network by Honghong JIANG, Tao ZHANG, Xinjian ZHAO, Xin QIAN, Tiancheng ZHAO, Lisha GAO

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Protecting digital assets using an ontology based cyber situational awareness system by Tariq Ammar Almoabady, Yasser Mohammad Alblawi, Ahmad Emad Albalawi, Majed M. Aborokbah, S. Manimurugan, Ahmed Aljuhani, Hussain Aldawood, P. Karthikeyan

Subjects: “…anomaly detection…”
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An interpretable semi‐supervised system for detecting cyberattacks using anomaly detection in industrial scenarios by Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente

Subjects: “…anomaly detection…”
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Advanced R-GAN: Generating anomaly data for improved detection in imbalanced datasets using regularized generative adversarial networks by Junhak Lee, Dayeon Jung, Jihoon Moon, Seungmin Rho

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Developing a Fire Monitoring System Based on MQTT, ESP-NOW, and a REM in Industrial Environments by Miracle Udurume, Taewoong Hwang, Raihan Uddin, Toufiq Aziz, Insoo Koo

Subjects: “…anomaly detection…”
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Anomaly detection solutions: The dynamic loss approach in VAE for manufacturing and IoT environment by Praveen Vijai, Bagavathi Sivakumar P

Subjects: “…Anomaly detection…”
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Hyperspectral Anomaly Detection Based on Intrinsic Image Decomposition and Background Subtraction by Jiao Jiao, Longlong Xiao, Chonglei Wang

Subjects: “…Anomaly detection…”
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Comprehensive Environmental Monitoring System for Industrial and Mining Enterprises Using Multimodal Deep Learning and CLIP Model by Shuqin Wang, Na Cheng, Yan Hu

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Detection Method of Apple Alternaria Leaf Spot Based on Deep-Semi-NMF by FU Zhuojun, HU Zheng, DENG Yangjun, LONG Chenfeng, ZHU Xinghui

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Unsupervised Anomaly Detection in Hyperspectral Imaging: Integrating Tensor Robust Principal Component Analysis With Autoencoding Adversarial Networks by Atsuya Emoto, Ryo Matsuoka

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Image-based anomaly detection in low-light industrial environments with feature enhancement by Dinh-Cuong Hoang, Phan Xuan Tan, Anh-Nhat Nguyen, Son-Anh Bui, Ta Huu Anh Duong, Tuan-Minh Huynh, Duc-Manh Nguyen, Viet-Anh Trinh, Quang-Huy Ha, Nguyen Dinh Bao Long, Duc-Thanh Tran, Xuan-Tung Dinh, Van-Hiep Duong, Tran Thi Thuy Trang

Subjects: “…Industrial anomaly detection…”
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Research on a Novel Unsupervised-Learning-Based Pipeline Leak Detection Method Based on Temporal Kolmogorov–Arnold Network with Autoencoder Integration by Hengyu Wu, Zhu Jiang, Xiang Zhang, Jian Cheng

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Enhanced heart sound anomaly detection via WCOS: a semi-supervised framework integrating wavelet, autoencoder and SVM by Peipei Zeng, Shuimiao Kang, Shuimiao Kang, Fan Fan, Jiyuan Liu, Jiyuan Liu

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