Skip to content
 
  • Book Bag: 0 items (Full)
Advanced Search History Search by Map: Arctic Antarctic
  • Wavelet Based Multiscale Deep...
  • Cite this
  • Print
  • Export Record
    • Export to RefWorks
    • Export to EndNoteWeb
    • Export to EndNote
  • Add to Book Bag Remove from Book Bag
  • Permanent link

Wavelet Based Multiscale Deep Learning Algorithms for Arctic Sea Ice Melting Prediction

Bibliographic Details
Published in:Proceedings of the 2024 6th International Symposium on Signal Processing Systems
Main Authors: Pegkou Christofi, Victoria, Li, Andrew, Lin, Audrey
Format: Conference Object
Language:unknown
Published: ACM 2024
Subjects:
Arctic
Sea ice
Online Access:https://doi.org/10.1145/3665053.3665054
https://dl.acm.org/doi/10.1145/3665053.3665054
https://dl.acm.org/doi/pdf/10.1145/3665053.3665054
  • Description
  • Staff View
Description
Description not available.

Similar Items

  • Optimizing the LSTM Deep Learning Model for Arctic Sea Ice Melting Prediction
    by: Christofi, Victoria Pegkou, et al.
    Published: (2024)
  • M-band discrete wavelet transform–based deep learning algorithm for identifying thermokarst lakes in the QinghaiTibetan Plateau
    by: Li, Andrew, et al.
    Published: (2023)
  • Mid-Term Seasonal Arctic Sea Ice Concentration Forecasting Based on CNN-ConvLSTM and Wavelet Multi-Scale Deep Learning Algorithms
    by: Li, Andrew R., et al.
    Published: (2023)
  • Integrating wavelet transform with deep learning for Arctic sea ice concentration prediction
    by: Qin, Mengjiao, et al.
    Published: ()
  • Identifying Thermokarst Lakes Using Discrete Wavelet Transform–Based Deep Learning Framework
    by: Li, Andrew, et al.
    Published: (2023)
  • Search History
  • Advanced Search
  • Search Tips
  • FAQs
  • About

Open Polar is a service devoloped by
UiT The Arctic University of Norway
and the Norwegian Polar Institute

UiT logo NPI logo
  • Follow us on
  • Contact
  • Accessibility statement (Norwegian only)
  • Cookie Settings

Open Polar is powered by VuFind