校正:使用深度学习在图像中检测情绪的情境
Fatiha Limami1, Boutaina Hdioud1, Rachid Oulad Haj Thami1
1Advanced Digital Enterprise Modeling and Information Retrieval (ADMIR) Laboratory, Rabat IT Center, Information Retrieval and Data Analytics Team (IRDA), ENSIAS, Mohammed V University in Rabat, Rabat, Morocco.
Frontiers in artificial intelligence
|September 18, 2024
概括
这项研究对先前发表的文章进行了修正,确保了科学记录的准确性. 它强调了研究和出版过程中细致的数据管理的重要性.
科学领域:
- 科学传播是科学传播.
- 学术出版学术出版活动
背景情况:
- 确保发表的科学文献的完整性至关重要.
- 准确的引用和数字对象标识符 (DOI) 对于可检索性至关重要.
研究的目的:
- 纠正以前发表的文章的数字物体识别符 (DOI).
- 保持科学研究的准确性和可追溯性.
主要方法:
- 发布了一份纠正通知.
- 正确的DOI被确定并公布.
主要成果:
- 这篇文章的DOI已经更新到10.3389/frai.2024.1386753.
- 确保正确的链接到纠正的科学工作.
结论:
- 这次纠正符合科学出版的标准.
- 准确的元数据有助于对研究结果的可靠访问.
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