January 01, 2021 conference-paper Quantifying Uncertainty in Physics-Informed Variational Autoencoders for Anomaly Detection Advances in intelligent systems and computing DOI: 10.1007/978-3-030-69367-1_3 OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 10 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Physics-Informed Autoencoders with Intrinsic Differential Equations for Anomaly Detection in Industrial Processes 2024 Lecture notes in networks and systems conference-paper Engineering Fault Detection and Control Systems 0 citations Bayesian Shapelet Learning for Improving the Efficiency of Mobile Radiation Detection Systems 2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) conference-paper Physics and Astronomy Radiation Detection and Scintillator Technologies 0 citations 2 results References 0