Results 151 to 160 of about 197,708 (266)

Error detection and correction in annotated corpora

, 2005
Markus Dickinson
openalex   +1 more source

Enhancing the utility of complex‐valued functional magnetic resonance imaging detection of neurobiological processes through postacquisition estimation and correction of dynamic B₀ errors and motion

, 2011
Andrew D. Hahn, Andrew S. Nencka, Daniel B. Rowe   +2 more
openalex   +1 more source

Evaluation of the Potential of Laser Shock Peening Compared with Cold Expansion for Improving Fatigue Resistance of Riveted Lap Joints of Aerospace Grade 7175 Al Alloy

Advanced Engineering Materials, EarlyView.
This study investigates laser shock peening for enhancing fatigue performance of riveted aerospace aluminum joints. A comparative approach with cold expansion combines fatigue testing and synchrotron X‐ray methods. Integrating mechanical testing with residual stress and strain characterization provides insights into how different treatments affect the ...
Ogün Baris Tapar, David Osman Busse, Maximilian Sprengel, Domenico Furfari, Marc‐André Nielsen, Guilherme Abreu Faria, Jérémy Epp   +6 more
wiley   +1 more source

Correction: Duplex ddPCR detection of lytA and piaB in Streptococcus pneumoniae from nasopharyngeal swabs. [PDF]

Sci Rep
Kallsberg A, Magnussen JH, Djurhuus A, Slotved HC, Magnussen MD, Gaini S, Krogfelt KA.   +6 more
europepmc   +1 more source

Error Correction for Phase Detection by Recursive Algorithm Real Time DFT

, 2001
Tsuyoshi Funaki, Kenji Matsuura, S. Tanaka   +2 more
openalex   +2 more sources

Unidirectional error correction/detection for VLSI memory [PDF]

, 1984
Bella Bose
openalex   +1 more source

Exploring Microstructure–Physical Property–Corrosion Response Relationship in Intermetallic Compounds of Al‐Cu Bimetallic Interfaces

Advanced Engineering Materials, EarlyView.
Al‐Cu intermetallic compounds (IMCs) have a significant influence on the properties of Al‐Cu bimetallic interfaces formed in compound casting. This article provides a deeper understanding of microstructure, crystallography, thermal properties, hardness, and corrosion response of Al‐Cu IMCs with the goal of facilitating the optimization of the ...
Alireza Nazarahari, Tatiana Blank, Christian Hinte, Huseyin Can Ozdemir, Khemais Barienti, Christian Klose, Dermican Canadinc, Hans Jürgen Maier   +7 more
wiley   +1 more source

Correction: Endogenous retroviral ERVH48-1 promotes human urine cell reprogramming. [PDF]

Cell Regen
Peng Y, Zhu J, Zhang Q, Zhang R, Wang Z, Ye Z, Ma N, Qin D, Pei D, Li D.   +9 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Correction: Optimized deep learning for brain tumor detection: a hybrid approach with attention mechanisms and clinical explainability. [PDF]

Sci Rep
Aiya AJ, Wani N, Ramani M, Kumar A, Pant S, Kotecha K, Kulkarni A.   +6 more
europepmc   +1 more source