Application of Artificial Intelligence on Post Pandemic Situation and Lesson Learn for Future Prospects
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Chinmay Chakraborty | Achintya Kumar Sarkar | Vineet Rojwal | Priyanka Dwivedi | Monoj Singha | A. K. Sarkar | M. Singha | Chinmay Chakraborty | Vineet Rojwal | Priyanka Dwivedi
[1] Ali Narin,et al. Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks , 2020, Pattern Analysis and Applications.
[2] Diederik P. Kingma,et al. An Introduction to Variational Autoencoders , 2019, Found. Trends Mach. Learn..
[3] Amit Kumar Srivastava,et al. Potential of graphene-based materials to combat COVID-19: properties, perspectives, and prospects , 2020, Materials Today Chemistry.
[4] Kun Qian,et al. COVID-19 and Computer Audition: An Overview on What Speech & Sound Analysis Could Contribute in the SARS-CoV-2 Corona Crisis , 2020, Frontiers in Digital Health.
[5] Douglas A. Reynolds,et al. Speaker Verification Using Adapted Gaussian Mixture Models , 2000, Digit. Signal Process..
[6] Shuwen Liu,et al. Structural and functional properties of SARS-CoV-2 spike protein: potential antivirus drug development for COVID-19 , 2020, Acta Pharmacologica Sinica.
[7] Q. Tao,et al. Correlation of Chest CT and RT-PCR Testing in Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases , 2020, Radiology.
[8] G. Kullak-Ublick,et al. Dual-Functional Plasmonic Photothermal Biosensors for Highly Accurate Severe Acute Respiratory Syndrome Coronavirus 2 Detection , 2020, ACS nano.
[9] Vaishali,et al. Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks , 2020, European Journal of Clinical Microbiology & Infectious Diseases.
[10] Alexander Wong,et al. COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images , 2020, Scientific reports.
[11] D. Kisku,et al. COVID-19 Detection on Chest X-Ray and CT Scan Images Using Multi-image Augmented Deep Learning Model , 2020, bioRxiv.
[12] Cui Meng,et al. Propagation analysis and prediction of the COVID-19 , 2020, Infectious Disease Modelling.
[13] Neeraj Gupta,et al. Prediction for the spread of COVID-19 in India and effectiveness of preventive measures , 2020, Science of The Total Environment.
[14] Kayhan Zrar Ghafoor,et al. Diagnosing COVID-19 pneumonia from x-ray and CT images using deep learning and transfer learning algorithms , 2020, Defense + Commercial Sensing.
[15] G. Herrler,et al. SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor , 2020, Cell.
[16] Kai Zhao,et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin , 2020, Nature.
[17] W. Meurer,et al. Logistic Regression: Relating Patient Characteristics to Outcomes. , 2016, JAMA.
[18] Daeui Park,et al. Rapid Detection of COVID-19 Causative Virus (SARS-CoV-2) in Human Nasopharyngeal Swab Specimens Using Field-Effect Transistor-Based Biosensor , 2020, ACS nano.
[19] A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19) , 2021, European Radiology.
[20] V. Pelechano,et al. Rapid detection of COVID-19 coronavirus using a reverse transcriptional loop-mediated isothermal amplification (RT-LAMP) diagnostic platform , 2020, Clinical chemistry.
[21] D. Shen,et al. Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification. , 2021, Physics in medicine and biology.
[22] Jianjiang Feng,et al. Development and evaluation of an artificial intelligence system for COVID-19 diagnosis , 2020, Nature Communications.
[23] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[24] Susanna K. P. Lau,et al. Coronavirus Genomics and Bioinformatics Analysis , 2010, Viruses.
[25] Jun Chen,et al. Deep learning-based model for detecting 2019 novel coronavirus pneumonia on high-resolution computed tomography , 2020, Scientific Reports.