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Challenges and implications of predicting the spatiotempora..:
Anno, Sumiko
;
Tsubasa, Hirakawa
;
Sugita, Satoru
...
Geo-spatial Information Science. 27 (2023) 4 - p. 1155-1161 , 2023
Link:
https://doi.org/10.1080/10095020.2022.2144770
RT Journal T1
Challenges and implications of predicting the spatiotemporal distribution of dengue fever outbreak in Chinese Taiwan using remote sensing data and deep learning
UL https://suche.suub.uni-bremen.de/peid=cr-10.1080_10095020.2022.2144770&Exemplar=1&LAN=DE A1 Anno, Sumiko A1 Tsubasa, Hirakawa A1 Sugita, Satoru A1 Yasumoto, Shinya A1 Lee, Ming-An A1 Sasaki, Yoshinobu A1 Oyoshi, Kei PB Informa UK Limited YR 2023 SN 1009-5020 SN 1993-5153 JF Geo-spatial Information Science VO 27 IS 4 SP 1155 OP 1161 LK http://dx.doi.org/https://doi.org/10.1080/10095020.2022.2144770 DO https://doi.org/10.1080/10095020.2022.2144770 SF ELIB - SuUB Bremen
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