Search Results - "Data corruption"

Covariance estimation: Optimal dimension-free guarantees for adversarial corruption and heavy tails.

Authors: Abdalla, Pedro Zhivotovskiy, Nikita

Source: Journal of the European Mathematical Society (EMS Publishing). 2026, Vol. 28 Issue 4, p1809-1847. 39p.

Reliability Analysis of the LEON3 Memory Subsystem Under Single-Event Upsets: Cache, AHB Interface, and Memory Controller Vulnerability.

Authors: Kchaou, Afef Saad, Sehmi Garrab, Hatem

Source: Information. Mar2026, Vol. 17 Issue 3, p249. 25p.

Complexity-Driven Adversarial Validation for Corrupted Medical Imaging Data.

Authors: Renza, Diego Brieva, Jorge Moya-Albor, Ernesto

Source: Information. Feb2026, Vol. 17 Issue 2, p125. 23p.

Retraction.

Authors: Thorp, H. Holden (AUTHOR)

Source: Science. 7/2/2026, Vol. 393 Issue 6806, p45-45. 1p.

Editorial Expression of Concern.

Authors: Thorp, H. Holden (AUTHOR)

Source: Science. 6/11/2026, Vol. 392 Issue 6803, p1131-1131. 1p.

Enhancing Point Cloud Registration for Pipe Fittings: A Coarse-to-Fine Approach with DANIP Keypoint Detection and ICP Optimization.

Authors: Liu, Zeyuan Yue, Xiaofeng

Source: Sensors (14248220). Nov2025, Vol. 25 Issue 22, p7012. 22p.

Quantile-RK and double quantile-RK error horizon analysis.

Authors: Battaglia, Emeric Ma, Anna

Source: Linear Algebra & its Applications. May2026, Vol. 736, p284-308. 25p.

Subjects: Quantiles, Data corruption, Robust statistics, Iterative methods (Mathematics), Linear systems, Stochastic approximation

FÜNF DATENPROBLEME IM CAD/CAM-PROZESS.

Authors: LANG, JENNIFER¹

Source: Digital Engineering. jul2026, Issue 4, p20-21. 2p.

A small amount of bad data can 'poison' even the largest AI models, researchers warn.

Authors: Nolan, Beatrice (AUTHOR)

Source: Fortune.com. 10/15/2025, pN.PAG-N.PAG. 1p.

Thermal Nonuniformity-Aware Reliability Screening for Systolic AI Accelerators.

Authors: Goffman-Vinopal, Larisa¹

Source: Journal of Low Power Electronics & Applications; Jun2026, Vol. 16 Issue 2, p18, 23p

Filesystem Corruption Is Not Disk Failure: Evidence-Based Triage and Capacity Recovery Using Block-Level Diagnostics and Remapping.

Authors: Basani, Bhanuprakash Naidu

Source: Journal of Computational Analysis & Applications; 2026, Vol. 35 Issue 5, p196-209, 14p

Tag Replication and Status Bits Encoding for Enhancing Cache Metadata Reliability.

Authors: Tabbakh, Abdulaziz Tani, Andrea

Source: Journal of Electrical & Computer Engineering. 5/25/2025, Vol. 2025, p1-10. 10p.

Subjects: Data corruption, Appropriate technology, Encoding, Soft errors, Memory, Cache memory, Metadata, Tags (Metadata)

Monitoring the Risk of Corruption in the MENA Region: What Are the Most Reliable Data to Address the Sustainable Development Goals?

Authors: Berkachy, Rédina Villeneuve, Jean‐Patrick Mugellini, Giulia

Source: Sustainable Development. Jun2025, Vol. 33 Issue 3, p4468-4491. 24p.

Detecting corruption from outer space.

Authors: Baccini, Leonardo Hu, Yushan Li, Ben G.

Source: Applied Economics Letters. Jun2025, Vol. 32 Issue 10, p1399-1404. 6p.

PREFACE.

Authors: Nair, Prianka Valencia, Saskia

Source: Journal of Law & Policy. 2025, Vol. 34 Issue 1, p1-5. 5p.

Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation Strategies.

Authors: Liu, Qi Ma, Wanjing

Source: Future Internet. Jun2025, Vol. 17 Issue 6, p241. 21p.

Test if an SD card is fake.

Authors: Irvine, Robert (AUTHOR)

Source: Computer Act!ve. 7/15/2026, Issue 740, p74-74. 1p. 1 Color Photograph, 1 Diagram.

Persistent corruption and parliamentary private-sector work experience.

Authors: Podobnik, Boris Zimmermann, Klaus F. Medvidović, Luka

Source: Journal of Evolutionary Economics. Apr2025, Vol. 35 Issue 2, p207-245. 39p.

Sempervirens: A Fast Reconstruction Algorithm for Noisy and Incomplete Binary Matrix Representations of Trees.

Authors: Junnarkar, Neelay Kızılkale, Can Golubovic, Nevena et al.

Source: INFORMS Journal on Computing; Mar/Apr2026, Vol. 38 Issue 2, p590-604, 15p

Modeling user choice behavior under data corruption: Robust learning of the latent decision threshold model.

Authors: Lin, Feng Qian, Xiaoning Mortazavi, Bobak et al.

Source: IISE Transactions. Dec2024, Vol. 56 Issue 12, p1307-1320. 14p.

Subjects: Data corruption, Mobile apps, Prediction models, Algorithms, Success