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  • [\'Department of Computer Science and Engineering, Bundelkhand Institute of Engineering and Technology, Jhansi, AKTU, Lucknow, India. Electronic address: sumitmohan@bietjhs.ac.in.\', \'Department of Computer Science and Engineering, Bundelkhand Institute of Engineering and Technology, Jhansi, AKTU, Lucknow, India. Electronic address: aksolanki@bietjhs.ac.in.\', \'Department of Computer Science and Engineering, Noida International University, Noida, India. Electronic address: harishtaluja@gmail.com.\', \'Department of Computer Science and Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, AKTU, Lucknow, India. Electronic address: anutaluja@gmail.com.\', \'Department of Computer Science and Engineering, Kamla Nehru Institute of Technology, Sultanpur, AKTU, Lucknow, India. Electronic address: anuj.2295@knit.ac.in.\']
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  • -1
?:creator
?:doi
?:doi
  • S0010-4825(22)00146-910.1016/j.compbiomed.2022.105354
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  • Computers in biology and medicine
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?:pmid
  • 35240374
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  • 0.591
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  • 68
?:title
  • Predicting the impact of the third wave of COVID-19 in India using hybrid statistical machine learning models: A time series forecasting and sentiment analysis approach.
?:type
?:year
  • 2022

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