Summary of A Fuzzy Reinforcement Lstm-based Long-term Prediction Model For Fault Conditions in Nuclear Power Plants, by Siwei Li et al.
A Fuzzy Reinforcement LSTM-based Long-term Prediction Model for Fault Conditions in Nuclear Power Plantsby Siwei…
Summary of Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detection, by Yeonghyeon Park et al.
Contrastive Language Prompting to Ease False Positives in Medical Anomaly Detectionby YeongHyeon Park, Myung Jin…
Summary of Low-latency Video Anonymization For Crowd Anomaly Detection: Privacy Vs. Performance, by Mulugeta Weldezgina Asres and Lei Jiao and Christian Walter Omlin
Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy vs. Performanceby Mulugeta Weldezgina Asres, Lei Jiao, Christian…
Summary of Xai-based Feature Ensemble For Enhanced Anomaly Detection in Autonomous Driving Systems, by Sazid Nazat and Mustafa Abdallah
XAI-based Feature Ensemble for Enhanced Anomaly Detection in Autonomous Driving Systemsby Sazid Nazat, Mustafa AbdallahFirst…
Summary of Timeseriesexam: a Time Series Understanding Exam, by Yifu Cai et al.
TimeSeriesExam: A time series understanding examby Yifu Cai, Arjun Choudhry, Mononito Goswami, Artur DubrawskiFirst submitted…
Summary of Interactive Explainable Anomaly Detection For Industrial Settings, by Daniel Gramelt et al.
Interactive Explainable Anomaly Detection for Industrial Settingsby Daniel Gramelt, Timon Höfer, Ute SchmidFirst submitted to…
Summary of Mmad: a Comprehensive Benchmark For Multimodal Large Language Models in Industrial Anomaly Detection, by Xi Jiang et al.
MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detectionby Xi Jiang,…
Summary of Domain-specific Retrieval-augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization, by Ryan C. Barron et al.
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorizationby Ryan C. Barron, Ves…
Summary of Xai-guided Insulator Anomaly Detection For Imbalanced Datasets, by Maximilian Andreas Hoefler et al.
XAI-guided Insulator Anomaly Detection for Imbalanced Datasetsby Maximilian Andreas Hoefler, Karsten Mueller, Wojciech SamekFirst submitted…
Summary of Leveraging Unsupervised Learning For Cost-effective Visual Anomaly Detection, by Yunbo Long et al.
Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detectionby Yunbo Long, Zhengyang Ling, Sam Brook, Duncan…