CNN-LSTM deep learning based forecasting model for COVID-19 infection cases in Nigeria, South Africa and Botswana

被引:0
作者
L. J. Muhammad
Ahmed Abba Haruna
Usman Sani Sharif
Mohammed Bappah Mohammed
机构
[1] Federal University of Kashere,Department of Computer Science
[2] University of Hafr Al Batin,Department of Computer Science
[3] Federal University of Kashere,Department of Biological Sciences, Faculty of Science
[4] Federal University of Kashere,Department of Mathematics, Faculty of Science
来源
Health and Technology | 2022年 / 12卷
关键词
COVID-19; Omicron Variant of Concern; Deep Learning; Forecasting Model; Infection;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1259 / 1276
页数:17
相关论文
共 50 条
  • [21] COVID-19 Cases Detection from Chest X-Ray Images using CNN based Deep Learning Model
    Islam, Md Amirul
    Stea, Giovanni
    Mahmud, Sultan
    Rahman, Kh Mustafizur
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2022, 13 (05) : 960 - 971
  • [22] A Study on the Prediction of COVID-19 Confirmed Cases Using Deep Learning and AdaBoost-Bi-LSTM Model
    Shin, Dong-Ryeol
    Chae, Gayoung
    Park, Minjae
    [J]. INTERNATIONAL JOURNAL OF RELIABILITY QUALITY AND SAFETY ENGINEERING, 2024, 31 (01)
  • [23] COVID-19 Diagnosis from Chest CT Scans: A Weakly Supervised CNN-LSTM Approach
    Kara, Mustafa
    Ozturk, Zeynep
    Akpek, Sergin
    Turupcu, Aysegul
    [J]. AI, 2021, 2 (03) : 330 - 341
  • [24] Deep Spatiotemporal Model for COVID-19 Forecasting
    Munoz-Organero, Mario
    Queipo-Alvarez, Paula
    [J]. SENSORS, 2022, 22 (09)
  • [25] A Machine Learning Univariate Time series Model for Forecasting COVID-19 Confirmed Cases: A Pilot Study in Botswana
    Mphale, Ofaletse
    Okike, Ezekiel U.
    Rafifing, Neo
    [J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2022, 22 (01): : 225 - 233
  • [26] RETRACTED: India perspective: CNN-LSTM hybrid deep learning model-based COVID-19 prediction and current status of medical resource availability (Retracted article. See MAY, 2023)
    Ketu, Shwet
    Mishra, Pramod Kumar
    [J]. SOFT COMPUTING, 2022, 26 (02) : 645 - 664
  • [27] Forecasting COVID-19 new cases using deep learning methods
    Xu, Lu
    Magar, Rishikesh
    Farimani, Amir Barati
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 144
  • [28] PANDORA: Deep Graph Learning Based COVID-19 Infection Risk Level Forecasting
    Yu, Shuo
    Xia, Feng
    Wang, Yueru
    Li, Shihao
    Febrinanto, Falih Gozi
    Chetty, Madhu
    [J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 11 (01) : 717 - 730
  • [29] Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria
    Boumediene Ladjal
    Mohamed Nadour
    Mohcene Bechouat
    Nadji Hadroug
    Moussa Sedraoui
    Abdelaziz Rabehi
    Mawloud Guermoui
    Takele Ferede Agajie
    [J]. Scientific Reports, 15 (1)
  • [30] Forecasting of COVID-19 cases using deep learning models: Is it reliable and practically significant?
    Devaraj, Jayanthi
    Elavarasan, Rajvikram Madurai
    Pugazhendhi, Rishi
    Shafiullah, G. M.
    Ganesan, Sumathi
    Jeysree, Ajay Kaarthic
    Khan, Irfan Ahmad
    Hossain, Eklas
    [J]. RESULTS IN PHYSICS, 2021, 21