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

Abdullah-Al Mamun, Md.; Islam, Abu Reza Md Towfiqul; Aktar, Mst. Nazneen; Uddin, Md Nashir; Islam, Md. Saiful; Pal, Subodh Chandra; Islam, Aznarul; Bari, A.B.M. Mainul; Idris, Abubakr M.; Senapathi, Venkatramanan

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dc.contributor.author	Abdullah-Al Mamun, Md.
dc.contributor.author	Islam, Abu Reza Md Towfiqul
dc.contributor.author	Aktar, Mst. Nazneen
dc.contributor.author	Uddin, Md Nashir
dc.contributor.author	Islam, Md. Saiful
dc.contributor.author	Pal, Subodh Chandra
dc.contributor.author	Islam, Aznarul
dc.contributor.author	Bari, A.B.M. Mainul
dc.contributor.author	Idris, Abubakr M.
dc.contributor.author	Senapathi, Venkatramanan
dc.date.accessioned	2025-02-23T05:16:17Z
dc.date.available	2025-02-23T05:16:17Z
dc.date.issued	2024-11-15
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/13705
dc.description.abstract	Even 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.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Elsevier	en_US
dc.subject	Cryptocurrency	en_US
dc.subject	Algorithms	en_US
dc.title	Predicting Groundwater Phosphate Levels in Coastal Multi-aquifers A Geostatistical and Data-driven Approach	en_US
dc.type	Article	en_US