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Updated: Jul 31, 2026

Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

Rapid Acquisition of 3D Images Using High-resolution Episcopic Microscopy

Published on: November 21, 2016

校正:Ebrahimi,A.; Czarnuch,S. 在复杂的3D室内环境中使用代区域基于RANSAC的自动超表面去除. 传感器 2021 年, 3724 年, 3724 年

Ali Ebrahimi¹, Stephen Czarnuch^1,2

¹Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL A1C 5S7, Canada.

Sensors (Basel, Switzerland)

|November 27, 2024

概括

本研究详细介绍了附属性纠正,确保科学出版物中作者和机构的准确代表性. 适当的归属对于研究完整性和协作跟踪至关重要.

科学领域:

图书统计学图书统计学
学术传播学术交流

背景情况:

准确的作者归属对于科学可信度和追踪研究影响至关重要.
错误的归因可能会导致引用网络和机构排名的混.

研究的目的:

解决和纠正发表的科学作品中错误的作者归属.
建立一个明确的协议,用于校正学术出版的附属性.

主要方法:

审查原始提交数据和出版记录.
实施正式的校正流程,经过期刊编辑委员会的批准.

主要成果:

在官方记录中成功识别和纠正了归属错误.
修正后的归属准确地反映了作者在研究时的机构关联.

结论:

快速准确地纠正作者关系对于保持科学文献的完整性至关重要.
处理附属错误的标准化程序提高了学术数据库的可靠性.

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