Tsunami Database Development in the Sunda Arc Indonesia to Support Early Warning through Artificial Intelligence Technology

Q3 Agricultural and Biological Sciences
Mardi Wibowo, Wahyu Hendriyono, Hanah Khoirunnisa, Reno Arief Rachman, Widjo Kongko, Gugum Gumbira, Shofia Karima, Reni Wijayanti, Eko Kustiyanto, Amalia Nurwijayanti, Destianingrum Ratna Prabawardani, Gumilang Ramadhan Pasma
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引用次数: 0
在印度尼西亚巽他地区开发海啸数据库,通过人工智能技术支持早期预警
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来源期刊
International Journal on Advanced Science, Engineering and Information Technology
International Journal on Advanced Science, Engineering and Information Technology Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
1.40
自引率
0.00%
发文量
272
期刊介绍: International Journal on Advanced Science, Engineering and Information Technology (IJASEIT) is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of science, engineering and information technology. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the IJASEIT follows the open access policy that allows the published articles freely available online without any subscription. The journal scopes include (but not limited to) the followings: -Science: Bioscience & Biotechnology. Chemistry & Food Technology, Environmental, Health Science, Mathematics & Statistics, Applied Physics -Engineering: Architecture, Chemical & Process, Civil & structural, Electrical, Electronic & Systems, Geological & Mining Engineering, Mechanical & Materials -Information Science & Technology: Artificial Intelligence, Computer Science, E-Learning & Multimedia, Information System, Internet & Mobile Computing
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