January 01, 2026 conference-paper TEDA-Powered Anomaly Detection on USPS Images Using PySpark Streaming and MLAutoCloud Framework: A Comparative Study Communications in computer and information science DOI: 10.1007/978-3-032-17837-4_21 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 1 References 1 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 Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection 2021 Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition conference-paper Computer Science Anomaly Detection Techniques and Applications Open access cited by 5 patents 261 citations 1 result