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Forecasting ATM Cash Demand Before and During the COVID-19 Pandemic Using an Extensive Evaluation of Statistical and Machine Learning Models.

Alireza FallahtaftiMohammadreza AghaaminihaSara AkbarghanadianGary R Weckman
Published in: SN computer science (2022)
The online version contains supplementary material available at 10.1007/s42979-021-01000-0.
Keyphrases
  • machine learning
  • dna damage
  • psychometric properties
  • social media
  • health information
  • dna repair
  • artificial intelligence
  • dna damage response
  • big data
  • deep learning
  • oxidative stress