Summary of Image-based Deep Learning For Smart Digital Twins: a Review, by Md Ruman Islam et al.
Image-based Deep Learning for Smart Digital Twins: a Reviewby Md Ruman Islam, Mahadevan Subramaniam, Pei-Chi…
Summary of Scalable Manifold Learning by Uniform Landmark Sampling and Constrained Locally Linear Embedding, By Dehua Peng et al.
Scalable manifold learning by uniform landmark sampling and constrained locally linear embeddingby Dehua Peng, Zhipeng…
Summary of Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt, by Jiaqi Liu et al.
Unsupervised Continual Anomaly Detection with Contrastively-learned Promptby Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen,…
Summary of A Maritime Industry Experience For Vessel Operational Anomaly Detection: Utilizing Deep Learning Augmented with Lightweight Interpretable Models, by Mahshid Helali Moghadam et al.
A Maritime Industry Experience for Vessel Operational Anomaly Detection: Utilizing Deep Learning Augmented with Lightweight…
Summary of Ma-vae: Multi-head Attention-based Variational Autoencoder Approach For Anomaly Detection in Multivariate Time-series Applied to Automotive Endurance Powertrain Testing, by Lucas Correia et al.
MA-VAE: Multi-head Attention-based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-series Applied to Automotive…
Summary of Lean-dmkde: Quantum Latent Density Estimation For Anomaly Detection, by Joseph Gallego-mejia et al.
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detectionby Joseph Gallego-Mejia, Oscar Bustos-Brinez, Fabio A. GonzálezFirst…
Summary of Translog: a Unified Transformer-based Framework For Log Anomaly Detection, by Hongcheng Guo et al.
TransLog: A Unified Transformer-based Framework for Log Anomaly Detectionby Hongcheng Guo, Xingyu Lin, Jian Yang,…