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
[31]   A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities [J].
Huang, Chiou-Jye ;
Kuo, Ping-Huan .
SENSORS, 2018, 18 (07)
[32]   A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China [J].
Shi, Hanxiao ;
Wei, Anlei ;
Xu, Xiaozhen ;
Zhu, Yaqi ;
Hu, Hao ;
Tang, Songjun .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2024, 352
[33]   Fused CNN-LSTM deep learning emotion recognition model using electroencephalography signals [J].
Ramzan, Munaza ;
Dawn, Suma .
INTERNATIONAL JOURNAL OF NEUROSCIENCE, 2023, 133 (06) :587-597
[34]   Deep Learning-Based Spectrum Sensing in Cognitive Radio: A CNN-LSTM Approach [J].
Xie, Jiandong ;
Fang, Jun ;
Liu, Chang ;
Li, Xuanheng .
IEEE COMMUNICATIONS LETTERS, 2020, 24 (10) :2196-2200
[35]   Attention-enhanced hybrid CNN-LSTM network with self-adaptive CBAM for COVID-19 diagnosis [J].
Shaari, Fatin Nabilah ;
Nasir, Aimi Salihah Abdul ;
Mustafa, Wan Azani ;
Ahmad, Wan Aireene Wan ;
Sukor, Abdul Syafiq Abdull .
ARRAY, 2025, 26
[36]   Statistical Machine and Deep Learning Methods for Forecasting of Covid-19 [J].
Juneja, Mamta ;
Saini, Sumindar Kaur ;
Kaur, Harleen ;
Jindal, Prashant .
WIRELESS PERSONAL COMMUNICATIONS, 2024, 138 (01) :497-524
[37]   A Brain Tumor Identification and Classification Using Deep Learning based on CNN-LSTM Method [J].
Vankdothu, Ramdas ;
Hameed, Mohd Abdul ;
Fatima, Husnah .
COMPUTERS & ELECTRICAL ENGINEERING, 2022, 101
[38]   A Deep Learning-Based Hybrid CNN-LSTM Model for Location-Aware Web Service Recommendation [J].
Pandey, Ankur ;
Mannepalli, Praveen Kumar ;
Gupta, Manish ;
Dangi, Ramraj ;
Choudhary, Gaurav .
NEURAL PROCESSING LETTERS, 2024, 56 (05)
[39]   Estimation of trapezoidal-shaped overlapping nuclear pulse parameters based on a deep learning CNN-LSTM model [J].
Ma, Xing-Ke ;
Huang, Hong-Quan ;
Ji, Xiao ;
Dai, He-Ye ;
Wu, Jun-Hong ;
Zhao, Jing ;
Yang, Fei ;
Tang, Lin ;
Jiang, Kai-Ming ;
Ding, Wei-Cheng ;
Zhou, Wei .
JOURNAL OF SYNCHROTRON RADIATION, 2021, 28 :910-918
[40]   Modeling and forecasting of COVID-19 infection cases in Iraq [J].
Hussain, Jassim N. .
JOURNAL OF INTERDISCIPLINARY MATHEMATICS, 2021, 24 (02) :367-380
12345