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Automated Spatial and Temporal Anomaly Detection de Hadi Hojjati

Automated Spatial and Temporal Anomaly Detection: Communications in Computer and Information Science

Editat de Hadi Hojjati, Narges Armanfard, Thi Kieu Khanh Ho
en Limba Engleză Paperback – 28 oct 2026

This book constitutes the refereed proceedings of the Third International Workshop on Automated Spatial and Temporal Anomaly Detection, ASTAD@AAAI 2026, held in conjunction with AAAI 2026, Singapore, on January 26, 2026.

The 9 full papers included in this book were carefully reviewed and selected from 18 submissions. They cover diverse areas, including vehicle engine diagnostics, thermal fault detection for energy storage systems, spatially conditioned diffusion models for anomaly generation, and domain-adaptive video
captioning for surveillance.

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Specificații

ISBN-13: 9789819233748
ISBN-10: 9819233747
Pagini: 155
Dimensiuni: 155 x 235 mm
Editura: Springer Verlag, Singapore
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science

Cuprins

.- Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection.
.- EngineAD: A Real-World Vehicle Engine Anomaly Detection Dataset.
.- Advancing Thermal Fault Diagnostics for Lithium-Ion Energy Storage Systems: An Autonomous Vision Foundation-Based Approach.
.- Leveraging Physics Anomaly Knowledge and Contrastive Learning for Region-Agnostic Landslide Prediction.
.- Domain-Adaptive Video Captioning for Surveillance Videos.
.- Anomaly-driven Reinforcement Learning.
.- Benchmarking IoT Time-Series AD with Event-Level Augmentations.
.- Bridging the Data Gap: Spatially Conditioned Diffusion Model for Anomaly Generation in Photovoltaic Electroluminescence Images.
.- Modular Segmentation-Agnostic Framework for Object-Based Change Detection in Multi-Temporal VHR Imagery.