Mobile QR Code QR CODE


Yang Yifan, Yu Wenwu, 2020, ,Prediction of COVID-19 spread via LSTM and the deterministic SEIR model, 39th Chinese Control Conference (CCC)DOI
Rustam Furqan, Reshi Aijaz Ahmad, Mehmood Arif, Ullah Saleem, On Byung-Won, Aslam Waqar, 2020, ,COVID-19 Future Forecasting Using Supervised Machine Learning Models, IEEE AccessDOI
Bodapati Suraj, Bandarupally Harika, Trupthi M, 2020, COVID-19 Time Series Forecasting of Daily Cases, Deaths Caused and Recovered Cases using Long Short Term Memory Networks, IEEE 5th International Conference on Computing Communication and Automation (ICCCA)DOI
Chao Hanqing, Fang Xi, Yan Pingkun, 2020, Integrative analysis for COVID-19 patient outcome prediction, Medical Image AnalysisDOI
Rafiq Danish, Suhail Ahmad, Bazaz Mohammad Abid, 2020, Evaluation and prediction of COVID 19 in India: A case study of worst hit states, Chaos, Solitons & FractalsDOI
Shahid Farah, Zameer Aneela, Muneeb Muhammad, 2020, Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM, Chaos, Solitons & FractalsDOI
Huang Liqiao, Liao Qi, Long Yin, Prediction-based analysis on power consumption gap under long-term emergency: A case in China under COVID-19, Applied Energy Available onlineDOI
Zhao Yuankang, He Yi, Zhao Xiaosong, 2020, COVID-19 Outbreak Prediction Based on SEIQR Model, 39th Chinese Control Conference (CCC)DOI
Gao Bingtao, Zhai Zhengang, Wang Lei, Pan Zhiyuan, Xu Song, Liu Dan, Hu Yijia, Wang Junyan, 2020, Research on the prediction algorithm about the number of workers returning to work based on the COVID-19, IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA)DOI
Cihan Pınar, 2020, Fuzzy Rule-Based System for Predicting Daily Case in COVID-19 Outbreak, 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)DOI
Kumar Naresh, Susan Seba, 2020, COVID-19 Pandemic Prediction using Time Series Forecasting Models, 11th International Conference on ComputingDOI
Achterberg Massimo A., Prasse Bastian, Mieghem Piet Van, 2020, Comparing the accuracy of several network-based COVID-19 prediction algorithms, International Journal of ForecastingAvailable onlineDOI
Rana Md Masud, Abdelhadi Ahmed, Ahmed Md Riaz Uddin, Ali Ahad, 2020, Secure IoT Communication Systems for Prediction of COVID-19 Outbreak: An Optimal Signal Processing Algorithm, Third International Conference on Smart Systems and Inventive Technology (ICSSIT)DOI
Wieczorek Michał, Siłka Jakub, Woźniak Marcin, 2020, Neural network powered COVID-19 spread forecasting model, Chaos, Solitons & FractalsDOI
Sandeepa Chamara, Moremada Charuka, Dissanayaka Nadeeka, Gamage Tharindu, Liyanage Madusanka, 2020, Social Interaction Tracking and Patient Prediction System for Potential COVID-19 Patients, IEEE 3rd 5G World Forum (5GWF)DOI
Abbasimehr Hossein, Paki Reza, 2020, Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization, Chaos, Solitons & Fractals Available onlineDOI
Pathan Refat Khan, Biswas Munmun, Khandaker Mayeen Uddin, 2020, Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model, Chaos, Solitons & FractalsDOI
Rustam Furqan, Reshi Aijaz Ahmad, Mehmood Arif, Ullah Saleem, On Byung-Won, Aslam Waqar, Choi Gyu Sang, 2020, COVID-19 Future Forecasting Using Supervised Machine Learning Models, IEEE AccessDOI
Ryan Logan, Lam Carson, Das Ritankar, 2020, Mortality prediction model for the triage of COVID-19, pneumonia, and mechanically ventilated ICU patients: A retrospective study, Annals of Medicine and SurgeryDOI
Reddy K. Shyam Sunder, Reddy Y. C. A. Padmanabha, Rao Ch. Mallikarjuna, 2020, Recurrent neural network based prediction of number of COVID-19 cases in India, Materials Today: Proceedings Available onlineDOI
Karaçuha Ertuğrul, Önal Nisa Özge, Ergün Esra, Tabatadze Vasil, Alkaş Hasan, Karaçuha Kamil, Tontuş Haci Ömer, Nu Nguyen Vinh Ngoc, 2020, Modeling and Prediction of the Covid-19 Cases With Deep Assessment Methodology and Fractional Calculus, IEEE AccessDOI