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COVID answers in Scientific Journals all over the world

Publishing House: The Intelligent Networks and Systems Society
  original article Journal Date Title Authors All Authors
1 [GO] International Journal of Intelligent Engineering and Systems 2021―Aug―23 Measuring Students’ Intention to Use E-Learning During Covid-19 Pandemic: A Case Study in Technical College of Management - Baghdad Mohammed Ibrahim
2 [GO] International Journal of Intelligent Engineering and Systems 2021―May―06 Elaboration of Psychological Ontology that Integrates the Problem of Human Frailty in COVID-19 Context Lamia Moudoubah, Kamal Guemmat, Khalifa Mansouri, Mohammed Qbadou
3 [GO] International Journal of Intelligent Engineering and Systems 2021―May―06 Factor Influencing of Telehealth Acceptance During COVID-19 Outbreak: Extending UTAUT Model Darmawan Napitupulu, Rudi Yacub, Aditya Putra
4 [GO] International Journal of Intelligent Engineering and Systems 2021―Feb―26 The Role of Machine Learning to Fight COVID-19 Shimaa Ouf, Noha Hamza
5 [GO] International Journal of Intelligent Engineering and Systems 2021―Feb―26 Optimized Extreme Learning Machine for Forecasting Confirmed Cases of COVID-19 Ahmed Hasan, Aseel Mahmoud, Zainab Hasan
6 [GO] International Journal of Intelligent Engineering and Systems 2021―Feb―26 Adaptive Neuro-Fuzzy Inference System (ANFIS) for Rapid Diagnosis of COVID-19 Cases Based on Routine Blood Tests Mohanad Deif, Rania Hammam, Ahmed Solyman
7 [GO] International Journal of Intelligent Engineering and Systems 2020―Oct―27 Multi Deep Learning to Diagnose COVID-19 in Lung X-Ray Images with Majority Vote Technique Ike Fibriani, Widjonarko Widjonarko, Aris Prasetyo, Angga Raharjo, Dasapta Irawan
8 [GO] International Journal of Intelligent Engineering and Systems 2020―Aug―26 Automatic Computer Aided Diagnostic for COVID-19 Based on Chest X-Ray Image and Particle Swarm Intelligence Suhaila Mohammed, Fatin Alkinani, Yasmin Hassan
9 [GO] International Journal of Intelligent Engineering and Systems 2020―Aug―26 A Framework of Computational Model for Predicting the Spread of COVID-19 Pandemic in Saudi Arabia Abdullah Baz, Hosam Alhakami, Ebtihal Alshareef


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