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JDR Vol.19 No.6 p. 1036
(2024)
doi: 10.20965/jdr.2024.p1036

Errata:

Erratum for “Intelligent System Detection of Dead Victims at Natural Disaster Areas Using Deep Learning” (Vol.19, pp. 204-213, 2024)

Moch. Zen Samsono Hadi ORCID Icon, Prima Kristalina ORCID Icon, Aries Pratiarso, M. Helmi Fauzan, and Roycardo Nababan

Department of Electrical Engineering, Politeknik Elektronika Negeri Surabaya
Jl. Raya ITS, PENS Campus, Sukolilo, Surabaya, East Java 60111, Indonesia

Corresponding author

Published:
December 1, 2024
Keywords:
errata
Abstract

Upon further review of the article the authors noticed errors in Figs. 9 and 10 that the authors would like to correct. The authors regret this error, and this error has now been corrected in the PDF version of the article. The corrected figures are detailed below:

Now reads Should read

Fig. 9 Loss training value. (Written 0,06; 0,11; 0,16; 0,21; 0,26; 0,31; on the y-axis.)

Fig. 10 Histogram of error percentage. (Written 1 m; 1,7 m; 2 m; 2,45 m on the x-axis.)

Fig. 9 Loss training value. (Should be 0.06; 0.11; 0.16; 0.21; 0.26; 0.31; on the y-axis.)

Fig. 10 Histogram of error percentage. (Should be 1 m; 1.7 m; 2 m; 2.45 m on the x-axis.)

The authors regret this error, and this error has now been corrected in the PDF version of the article.

Cite this article as:
M. Hadi, P. Kristalina, A. Pratiarso, M. Fauzan, and R. Nababan, “Erratum for “Intelligent System Detection of Dead Victims at Natural Disaster Areas Using Deep Learning” (Vol.19, pp. 204-213, 2024),” J. Disaster Res., Vol.19 No.6, p. 1036, 2024.
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Last updated on Dec. 13, 2024