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博士論文

Utilizing a novel high-resolution malaria dataset for climate-informed predictions with a deep learning transformer model

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Utilizing a novel high-resolution malaria dataset for climate-informed predictions with a deep learning transformer model

Material type
博士論文
Author
PILLAY, MICHEAL TERON
Publisher
Springer Nature
Publication date
2024-03-19
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
Nagasaki University (長崎大学),博士(医学)
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Note (General):

長崎大学学位論文 学位記番号:博(医歯薬)甲第1602号 学位授与年月日:令和6年3月19日Author: Micheal T. Pillay, Noboru Minakawa, Yoonhee Kim, Nyakallo Kgalane, Jayanthi V. Ratnam, Swadhin K...

Detailed bibliographic record

Summary, etc.:

Climatic factors influence malaria transmission via the effect on the Anopheles vector and Plasmodium parasite. Modelling and understanding the comple...

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  • Nagasaki University's Academic Output SITE: NAOSITE

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Digital

Material Type
博士論文
Author/Editor
PILLAY, MICHEAL TERON
Author Heading
Publication, Distribution, etc.
Publication Date
2024-03-19
Publication Date (W3CDTF)
2024-03-19
Alternative Title
新規高解像度マラリアデータセットを利用した気候情報予測のためのディープラーニングトランスフォーマーモデル
Periodical title
Scientific Reports
No. or year of volume/issue
13