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Please use this identifier to cite or link to this item: http://192.168.98.239:8080/jspui/handle/1994/1802
Title: Time series characterization and prediction of ambient PM2.5 concentrations in India: A deep learning approach
Researcher: Goswami, Pranjol
Guides: Prakash, Amit
Keywords: Encoder-decoder;Hybrid deep learning model;LSTM;Convolutional LSTM;3D convolution neural network;Bidirectional LSTM;SNR
Award Date: 2024
Department: Department of Environmental Science
Publisher: Tezpur University
Upload Date: 6-Feb-2025
Abstract: Available.
Pagination: 137 p.
URI: http://192.168.98.239:8080/jspui/handle/1994/1802
Appears in Collections:Theses

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01_title.pdf454.63 kBAdobe PDFView/Open
02_prelim pages.pdf794.28 kBAdobe PDFView/Open
03_content.pdf442.75 kBAdobe PDFView/Open
04_abstract.pdf444.29 kBAdobe PDFView/Open
05_chapter 1.pdf741.44 kBAdobe PDFView/Open
06_chapter 2.pdf1.87 MBAdobe PDFView/Open
07_chapter 3.pdf1.14 MBAdobe PDFView/Open
08_chapter 4.pdf4.84 MBAdobe PDFView/Open
09_conclusion.pdf563.6 kBAdobe PDFView/Open
10_annexures.pdf2.7 MBAdobe PDFView/Open
80_Recommendation.pdf1.02 MBAdobe PDFView/Open
90_Plagiarism_Report.pdf224.02 kBAdobe PDFView/Open
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