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Original Artikel |
Datum |
Titel |
Autoren Max. 6 Autoren |
| 1 |
[GO] |
2024―Sep―26 |
A framework based on physics-informed graph neural ODE: for continuous spatial-temporal pandemic prediction |
Haodong Cheng, Yingchi Mao, Xiao Jia |
| 2 |
[GO] |
2024―Jan―17 |
Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear |
Manuele Leonelli, Gherardo Varando |
| 3 |
[GO] |
2023―Okt―21 |
CovidCurve: curve fitting modeling and early forecasting of the size and duration of Covid-19 outbreaks |
Ilias N. Lymperopoulos |
| 4 |
[GO] |
2023―Jun―16 |
Using alignment-free and pattern mining methods for SARS-CoV-2 genome analysis |
M. Saqib Nawaz, Philippe Fournier-Viger, Memoona Aslam, Wenjin Li, Yulin He, Xinzheng Niu |
| 5 |
[GO] |
2023―Feb―06 |
Feature selection of pre-trained shallow CNN using the QLESCA optimizer: COVID-19 detection as a case study |
Qusay Shihab Hamad, Hussein Samma, Shahrel Azmin Suandi |
| 6 |
[GO] |
2022―Okt―27 |
Interpretable tourism demand forecasting with temporal fusion transformers amid COVID-19 |
Binrong Wu, Lin Wang, Yu-Rong Zeng |
| 7 |
[GO] |
2022―Jul―18 |
Deep learning-based important weights-only transfer learning approach for COVID-19 CT-scan classification |
Tejalal Choudhary, Shubham Gujar, Anurag Goswami, Vipul Mishra, Tapas Badal |
| 8 |
[GO] |
2022―Apr―09 |
MA-Net:Mutex attention network for COVID-19 diagnosis on CT images |
BingBing Zheng, Yu Zhu, Qin Shi, Dawei Yang, Yanmei Shao, Tao Xu |
| 9 |
[GO] |
2022―Apr―05 |
Monitoring social-distance in wide areas during pandemics: a density map and segmentation approach |
Javier Antonio Gonzalez-Trejo, Diego A. Mercado-Ravell, Uziel Jaramillo-Avila |
| 10 |
[GO] |
2022―Mrz―21 |
Emoji use in China: popularity patterns and changes due to COVID-19 |
Chuchu Liu, Xu Tan, Tao Zhou, Wei Zhang, Jianguo Liu, Xin Lu |
| 11 |
[GO] |
2022―Jan―08 |
COVID-CT-Mask-Net: prediction of COVID-19 from CT scans using regional features |
Aram Ter-Sarkisov |
| 12 |
[GO] |
2022―Jan―08 |
Rescuing emergency cases of COVID-19 patients: An intelligent real-time MSC transfusion framework based on multicriteria decision-making methods |
M. A. Alsalem, O. S. Albahri, A. A. Zaidan, Jameel R. Al-Obaidi, Alhamzah Alnoor, A. H. Alamoodi, A. S. Albahri, B. B. Zaidan, F. M. Jumaah |
| 13 |
[GO] |
2022―Jan―06 |
Framework for identifying and visualising emotional atmosphere in online learning environments in the COVID-19 Era |
Fei Yan, Nan Wu, Abdullah M. Iliyasu, Kazuhiko Kawamoto, Kaoru Hirota |
| 14 |
[GO] |
2021―Okt―30 |
Decision and feature level fusion of deep features extracted from public COVID-19 data-sets |
Hamza Osman Ilhan, Gorkem Serbes, Nizamettin Aydin |
| 15 |
[GO] |
2021―Sep―10 |
Machine learning techniques to predict different levels of hospital care of CoVid-19 |
Elena Hernández-Pereira, Oscar Fontenla-Romero, Verónica Bolón-Canedo, Brais Cancela-Barizo, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos |
| 16 |
[GO] |
2021―Sep―07 |
Unsupervised domain adaptation based COVID-19 CT infection segmentation network |
Han Chen, Yifan Jiang, Murray Loew, Hanseok Ko |
| 17 |
[GO] |
2021―Jul―07 |
Statistical analysis of the community lockdown for COVID-19 pandemic |
Shaocong Wu, Xiaolong Wang, Jingyong Su |
| 18 |
[GO] |
2021―Jul―05 |
Cross-sectional analysis and data-driven forecasting of confirmed COVID-19 cases |
Nan Jing, Zijing Shi, Yi Hu, Ji Yuan |
| 19 |
[GO] |
2021―Jun―07 |
Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking |
Ebenezer Jangam, Aaron Antonio Dias Barreto, Chandra Sekhara Rao Annavarapu |
| 20 |
[GO] |
2021―Jun―02 |
Data driven covid-19 spread prediction based on mobility and mask mandate information |
Sandipan Banerjee, Yongsheng Lian |
| 21 |
[GO] |
2021―Mai―12 |
Cure models to estimate time until hospitalization due to COVID-19 |
Maria Pedrosa-Laza, Ana López-Cheda, Ricardo Cao |
| 22 |
[GO] |
2021―Mai―10 |
Mathematical modelling for decision making of lockdown during COVID-19 |
Ahona Ghosh, Sandip Roy, Haraprasad Mondal, Suparna Biswas, Rajesh Bose |
| 23 |
[GO] |
2021―Mai―07 |
COVID-19 cases prediction in multiple areas via shapelet learning |
Zhijin Wang, Bing Cai |
| 24 |
[GO] |
2021―Apr―23 |
From SIR to SEAIRD: A novel data-driven modeling approach based on the Grey-box System Theory to predict the dynamics of COVID-19 |
K. Midzodzi Pekpe, Djamel Zitouni, Gilles Gasso, Wajdi Dhifli, Benjamin C. Guinhouya |
| 25 |
[GO] |
2021―Apr―19 |
A bi-stage feature selection approach for COVID-19 prediction using chest CT images |
Shibaprasad Sen, Soumyajit Saha, Somnath Chatterjee, Seyedali Mirjalili, Ram Sarkar |
| 26 |
[GO] |
2021―Apr―14 |
Convolutional neural networks and temporal CNNs for COVID-19 forecasting in France |
Lucas Mohimont, Amine Chemchem, François Alin, Michaël Krajecki, Luiz Angelo Steffenel |
| 27 |
[GO] |
2021―Apr―08 |
COVID-19 prediction using AI analytics for South Korea |
Adwitiya Sinha, Megha Rathi |
| 28 |
[GO] |
2021―Mrz―25 |
Correction to: Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networks |
Satyavratan Govindarajan, Ramakrishnan Swaminathan |
| 29 |
[GO] |
2021―Mrz―23 |
Deep learning-based improved snapshot ensemble technique for COVID-19 chest X-ray classification |
Samson Anosh Babu P, Chandra Sekhara Rao Annavarapu |
| 30 |
[GO] |
2021―Feb―19 |
Using artificial intelligence techniques for COVID-19 genome analysis |
M. Saqib Nawaz, Philippe Fournier-Viger, Abbas Shojaee, Hamido Fujita |
| 31 |
[GO] |
2021―Feb―18 |
The analysis of isolation measures for epidemic control of COVID-19 |
Bo Huang, Yimin Zhu, Yongbin Gao, Guohui Zeng, Juan Zhang, Jin Liu, Li Liu |
| 32 |
[GO] |
2021―Feb―14 |
Multilingual topic modeling for tracking COVID-19 trends based on Facebook data analysis |
Amina Amara, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha |
| 33 |
[GO] |
2021―Feb―09 |
Densely connected convolutional networks-based COVID-19 screening model |
Dilbag Singh, Vijay Kumar, Manjit Kaur |
| 34 |
[GO] |
2021―Feb―02 |
Corona-Nidaan: lightweight deep convolutional neural network for chest X-Ray based COVID-19 infection detection |
Mainak Chakraborty, Sunita Vikrant Dhavale, Jitendra Ingole |
| 35 |
[GO] |
2021―Jan―22 |
Convalescent-plasma-transfusion intelligent framework for rescuing COVID-19 patients across centralised/decentralised telemedicine hospitals based on AHP-group TOPSIS and matching component |
Thura J. Mohammed, A. S. Albahri, A. A. Zaidan, O. S. Albahri, Jameel R. Al-Obaidi, B. B. Zaidan, Moussa Larbani, R. T. Mohammed, Suha M. Hadi |
| 36 |
[GO] |
2021―Jan―06 |
Intelligent system for COVID-19 prognosis: a state-of-the-art survey |
Janmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh, Kanithi Vakula, B. Kameswara Rao, Weiping Ding, Danilo Pelusi |
| 37 |
[GO] |
2021―Jan―01 |
A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak |
Xian-Xian Liu, Simon James Fong, Nilanjan Dey, Rubén González Crespo, Enrique Herrera-Viedma |
| 38 |
[GO] |
2020―Nov―28 |
“Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images” |
Mugahed A. Al-antari, Cam-Hao Hua, Jaehun Bang, Sungyoung Lee |
| 39 |
[GO] |
2020―Nov―27 |
An automatic approach based on CNN architecture to detect Covid-19 disease from chest X-ray images |
Swati Hira, Anita Bai, Sanchit Hira |
| 40 |
[GO] |
2020―Nov―17 |
Attention-based VGG-16 model for COVID-19 chest X-ray image classification |
Chiranjibi Sitaula, Mohammad Belayet Hossain |
| 41 |
[GO] |
2020―Nov―14 |
FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms |
Zhenxing Huang, Xinfeng Liu, Rongpin Wang, Mudan Zhang, Xianchun Zeng, Jun Liu, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu |
| 42 |
[GO] |
2020―Nov―13 |
SEIAQRDT model for the spread of novel coronavirus (COVID-19): A case study in India |
Preety Kumari, Harendra Pal Singh, Swarn Singh |
| 43 |
[GO] |
2020―Nov―09 |
Stacked-autoencoder-based model for COVID-19 diagnosis on CT images |
Daqiu Li, Zhangjie Fu, Jun Xu |
| 44 |
[GO] |
2020―Nov―06 |
Differentiation of COVID-19 conditions in planar chest radiographs using optimized convolutional neural networks |
Satyavratan Govindarajan, Ramakrishnan Swaminathan |
| 45 |
[GO] |
2020―Nov―06 |
Design and analysis of a large-scale COVID-19 tweets dataset |
Rabindra Lamsal |
| 46 |
[GO] |
2020―Nov―06 |
Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays |
Himadri Mukherjee, Subhankar Ghosh, Ankita Dhar, Sk Md Obaidullah, K. C. Santosh, Kaushik Roy |
| 47 |
[GO] |
2020―Nov―04 |
A gradient boosting machine learning approach in modeling the impact of temperature and humidity on the transmission rate of COVID-19 in India |
Lokesh Kumar Shrivastav, Sunil Kumar Jha |
| 48 |
[GO] |
2020―Nov―04 |
A new deep learning pipeline to detect Covid-19 on chest X-ray images using local binary pattern, dual tree complex wavelet transform and convolutional neural networks |
Huseyin Yasar, Murat Ceylan |
| 49 |
[GO] |
2020―Nov―03 |
Kalman filter based short term prediction model for COVID-19 spread |
Koushlendra Kumar Singh, Suraj Kumar, Prachi Dixit, Manish Kumar Bajpai |
| 50 |
[GO] |
2020―Okt―23 |
Forecasting COVID-19 outbreak progression using hybrid polynomial-Bayesian ridge regression model |
Mohd Saqib |
| 51 |
[GO] |
2020―Okt―17 |
Automated diagnosis of COVID-19 with limited posteroanterior chest X-ray images using fine-tuned deep neural networks |
Narinder Singh Punn, Sonali Agarwal |
| 52 |
[GO] |
2020―Okt―09 |
Deep learning based detection and analysis of COVID-19 on chest X-ray images |
Rachna Jain, Meenu Gupta, Soham Taneja, D. Jude Hemanth |
| 53 |
[GO] |
2020―Sep―28 |
Enhanced Gaussian process regression-based forecasting model for COVID-19 outbreak and significance of IoT for its detection |
Shwet Ketu, Pramod Kumar Mishra |
| 54 |
[GO] |
2020―Sep―21 |
OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19 |
Tripti Goel, R. Murugan, Seyedali Mirjalili, Deba Kumar Chakrabartty |
| 55 |
[GO] |
2020―Sep―21 |
COVID-19 open source data sets: a comprehensive survey |
Junaid Shuja, Eisa Alanazi, Waleed Alasmary, Abdulaziz Alashaikh |
| 56 |
[GO] |
2020―Sep―18 |
COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble |
Muammer Turkoglu |
| 57 |
[GO] |
2020―Sep―12 |
COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization |
Tahmina Zebin, Shahadate Rezvy |
| 58 |
[GO] |
2020―Sep―05 |
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network |
Asmaa Abbas, Mohammed M. Abdelsamea, Mohamed Medhat Gaber |
| 59 |
[GO] |
2020―Aug―21 |
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices |
Sakshi Ahuja, Bijaya Ketan Panigrahi, Nilanjan Dey, Venkatesan Rajinikanth, Tapan Kumar Gandhi |
| 60 |
[GO] |
2020―Aug―12 |
Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features |
Varalakshmi Perumal, Vasumathi Narayanan, Sakthi Jaya Sundar Rajasekar |
| 61 |
[GO] |
2020―Jul―06 |
A review of mathematical modeling, artificial intelligence and datasets used in the study, prediction and management of COVID-19 |
Youssoufa Mohamadou, Aminou Halidou, Pascalin Tiam Kapen |
| 62 |
[GO] |
2020―Mai―02 |
Editor’s Note: Applied Intelligence and COVID-19 Research |
|
| 63 |
[GO] |
2020―Apr―22 |
Deep learning system to screen coronavirus disease 2019 pneumonia |
Charmaine Butt, Jagpal Gill, David Chun, Benson A. Babu |
