Yoshihiro Kabeyama
Yoshio Kajitani
Tsuyoshi Ueno2- 1Faculty of Engineering and Design, Kagawa University, Takamatsu, Japan
- 2ENIC Division, Grid Innovation Research Laboratory, Central Research Institute of Electric Power Industry (CRIEPI), Yokosuka, Japan
- 3Structures and Earthquake Engineering Division, Sustainable System Research Laboratory, Central Research Institute of Electric Power Industry, Abiko, Japan
A Correction on
Efficient disaster damage prediction method using building point data and LSTM: a case of flood disaster
by Kabeyama Y, Kajitani Y, Ueno T and Yuyama A (2025). Front. Built Environ. 11:1631964. doi: 10.3389/fbuil.2025.1631964
The Title of this article was erroneously given as: Efficient Disaster Damage Prediction Method Using Building Point Data and LTSM: A Case of Flood Disaster. The correct Title of the article is Efficient Disaster Damage Prediction Method Using Building Point Data and LSTM: A Case of Flood Disaster.
The original article has been updated.
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Keywords: flood disaster, building point data, industrial classification, LSTM, multimodal data fusion, natural language processing
Citation: Kabeyama Y, Kajitani Y, Ueno T and Yuyama A (2026) Correction: Efficient disaster damage prediction method using building point data and LSTM: a case of flood disaster. Front. Built Environ. 11:1764499. doi: 10.3389/fbuil.2025.1764499
Received: 10 December 2025; Accepted: 26 December 2025;
Published: 09 January 2026.
Edited and reviewed by:
Yakun Xie, Southwest Jiaotong University, ChinaCopyright © 2026 Kabeyama, Kajitani, Ueno and Yuyama. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Yoshihiro Kabeyama, czI0ZDE1NUBrYWdhd2EtdS5hYy5qcA==