Summary of Predictive Digital Twin For Condition Monitoring Using Thermal Imaging, by Daniel Menges et al.
Predictive Digital Twin for Condition Monitoring Using Thermal Imagingby Daniel Menges, Florian Stadtmann, Henrik Jordheim,…
Summary of Multivariate Data Augmentation For Predictive Maintenance Using Diffusion, by Andrew Thompson et al.
Multivariate Data Augmentation for Predictive Maintenance using Diffusionby Andrew Thompson, Alexander Sommers, Alicia Russell-Gilbert, Logan…
Summary of Interpretable Measurement Of Cnn Deep Feature Density Using Copula and the Generalized Characteristic Function, by David Chapman et al.
Interpretable Measurement of CNN Deep Feature Density using Copula and the Generalized Characteristic Functionby David…
Summary of Peri-midformer: Periodic Pyramid Transformer For Time Series Analysis, by Qiang Wu et al.
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysisby Qiang Wu, Gechang Yao, Zhixi Feng, Shuyuan…
Summary of Towards Resource-efficient Federated Learning in Industrial Iot For Multivariate Time Series Analysis, by Alexandros Gkillas et al.
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysisby Alexandros Gkillas, Aris…
Summary of See It, Think It, Sorted: Large Multimodal Models Are Few-shot Time Series Anomaly Analyzers, by Jiaxin Zhuang et al.
See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzersby Jiaxin…
Summary of High-pass Graph Convolutional Network For Enhanced Anomaly Detection: a Novel Approach, by Shelei Li et al.
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approachby Shelei Li, Yong Chai…
Summary of Anomalous Client Detection in Federated Learning, by Dipanwita Thakur et al.
Anomalous Client Detection in Federated Learningby Dipanwita Thakur, Antonella Guzzo, Giancarlo FortinoFirst submitted to arxiv…
Summary of Identify Backdoored Model in Federated Learning Via Individual Unlearning, by Jiahao Xu et al.
Identify Backdoored Model in Federated Learning via Individual Unlearningby Jiahao Xu, Zikai Zhang, Rui HuFirst…
Summary of Aad-llm: Adaptive Anomaly Detection Using Large Language Models, by Alicia Russell-gilbert et al.
AAD-LLM: Adaptive Anomaly Detection Using Large Language Modelsby Alicia Russell-Gilbert, Alexander Sommers, Andrew Thompson, Logan…