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Streamflow data analysis for flood detection using persistent homology

Flooding is an environmental hazard that occurs almost everywhere around the world. Analysis of streamflow data can give us important climatic information for flooding events. Persistent homology (PH), a new analysis tool in topological data analysis (TDA) offers a new way to look at the informati...

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書誌詳細
主要な著者:	Syed Mohamad Sadiq Syed Musa,, Mohd Salmi Md Noorani,, Fatimah Abdul Razak,, Munira Ismail,, Mohd Almie Alias,
フォーマット:	論文
言語:	English
出版事項:	Penerbit Universiti Kebangsaan Malaysia 2022
オンライン･アクセス:	http://journalarticle.ukm.my/20249/1/22.pdf http://journalarticle.ukm.my/20249/ https://www.ukm.my/jsm/malay_journals/jilid51bil7_2022/KandunganJilid51Bil7_2022.html
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