Predicting Groundwater Phosphate Levels in Coastal Multi-aquifers A Geostatistical and Data-driven Approach

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dc.contributor.authorAbdullah-Al Mamun, Md.
dc.contributor.authorIslam, Abu Reza Md Towfiqul
dc.contributor.authorAktar, Mst. Nazneen
dc.contributor.authorUddin, Md Nashir
dc.contributor.authorIslam, Md. Saiful
dc.contributor.authorPal, Subodh Chandra
dc.contributor.authorIslam, Aznarul
dc.contributor.authorBari, A.B.M. Mainul
dc.contributor.authorIdris, Abubakr M.
dc.contributor.authorSenapathi, Venkatramanan
dc.date.accessioned2025-02-23T05:16:17Z
dc.date.available2025-02-23T05:16:17Z
dc.date.issued2024-11-15
dc.description.abstractEven if you want to make a profit from cryptocurrency, you are worried that you will lose money, and it is difficult to afford it. There are a vast number of papers that study such unpredictable price fluctuations of cryptocurrency. Currently, it is mainstream to use learning deep to predict the price of cryptocurrency. The goal of this research is to predict the price of cryptocurrency over the long-term using deep learning. The algorithms used are LSTM, GRU, and Bi-LSTM. The targeted cryptocurrencies are Bitcoin, Ethereum, Litecoin, and Cardano. Finally, we will compare it with previous research and verify the performance of our model.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/13705
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/13705
dc.language.isoen_US
dc.publisherElsevier
dc.sourceDIU Institutional Repository
dc.subjectCryptocurrency
dc.subjectAlgorithms
dc.titlePredicting Groundwater Phosphate Levels in Coastal Multi-aquifers A Geostatistical and Data-driven Approach
dc.typeArticle

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