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Original Artikel |
Datum |
Titel |
Autoren Alle Autoren |
| 1 |
[GO] |
2024―Dez―18 |
A hybrid Hadoop-based sentiment analysis classifier for tweets associated with COVID-19 utilizing two machine learning algorithms: CNN, and fuzzy C4.5 |
Fatima Es-sabery, Ibrahim Es-sabery, Junaid Qadir, Beatriz Sainz-de-Abajo, Begonya Garcia-Zapirain |
| 2 |
[GO] |
2024―Dez―18 |
Distinguishing novel coronavirus influenza A virus pneumonia with CT radiomics and clinical features |
Lianyu Sui, Huan Meng, Jianing Wang, Wei Yang, Lulu Yang, Xudan Chen, et al. (+5) Liyong Zhuo, Lihong Xing, Yu Zhang, Jingjing Cui, Xiaoping Yin |
| 3 |
[GO] |
2024―Sep―12 |
Leveraging large-scale genetic data to assess the causal impact of COVID-19 on multisystemic diseases |
Xiangyang Zhang, Zhaohui Jiang, Jiayao Ma, Yaru Qi, Yin Li, Yan Zhang, et al. (+10) Yihan Liu, Chaochao Wei, Yihong Chen, Ping Liu, Yinghui Peng, Jun Tan, Ying Han, Shan Zeng, Changjing Cai, Hong Shen |
| 4 |
[GO] |
2024―Feb―04 |
Conventional dendritic cell 2 links the genetic causal association from allergic asthma to COVID-19: a Mendelian randomization and transcriptomic study |
Hua Liu, Siting Huang, Liting Yang, Hongshu Zhou, Bo Chen, Lisha Wu, Liyang Zhang |
| 5 |
[GO] |
2023―Nov―11 |
Search-engine-based surveillance using artificial intelligence for early detection of coronavirus disease outbreak |
Ligui Wang, Yuqi Liu, Hui Chen, Shaofu Qiu, Yonghong Liu, Mingjuan Yang, et al. (+5) Xinying Du, Zhenjun Li, Rongzhang Hao, Huaiyu Tian, Hongbin Song |
| 6 |
[GO] |
2023―Jun―11 |
Online listing data and their interaction with market dynamics: evidence from Singapore during COVID-19 |
Jieun Lee, Kwan Ok Lee |
| 7 |
[GO] |
2023―Jan―17 |
Using passive Wi-Fi for community crowd sensing during the COVID-19 pandemic |
Miguel Ribeiro, Diogo Teixeira, Pedro Barbosa, Nuno Jardim Nunes |
| 8 |
[GO] |
2022―Nov―25 |
Social media analysis of Twitter tweets related to ASD in 2019-2020, with particular attention to COVID-19: topic modelling and sentiment analysis |
Luca Corti, Michele Zanetti, Giovanni Tricella, Maurizio Bonati |
| 9 |
[GO] |
2022―Jan―06 |
Machine learning approaches in Covid-19 severity risk prediction in Morocco |
Mariam Laatifi, Samira Douzi, Abdelaziz Bouklouz, Hind Ezzine, Jaafar Jaafari, Younes Zaid, et al. (+2) Bouabid El Ouahidi, Mariam Naciri |
| 10 |
[GO] |
2021―Aug―03 |
Predictive analytics using Big Data for the real estate market during the COVID-19 pandemic |
Andrius Grybauskas, Vaida Pilinkienė, Alina Stundžienė |
| 11 |
[GO] |
2021―Jul―07 |
The forecast of COVID-19 spread risk at the county level |
Murtadha D. Hssayeni, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht, Behnaz Ghoraani |
| 12 |
[GO] |
2021―Jun―02 |
Big data insight on global mobility during the Covid-19 pandemic lockdown |
Adam Sadowski, Zbigniew Galar, Robert Walasek, Grzegorz Zimon, Per Engelseth |
| 13 |
[GO] |
2021―Mrz―11 |
Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM) |
Widodo Budiharto |
| 14 |
[GO] |
2021―Mrz―01 |
An analysis of COVID-19 economic measures and attitudes: evidence from social media mining |
Dorota Domalewska |
| 15 |
[GO] |
2021―Feb―17 |
Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platformm |
Flavio Villanustre, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw LexisNexis, Borko Furht, Taghi Khoshgoftaar |
| 16 |
[GO] |
2021―Jan―11 |
Deep Learning applications for COVID-19 |
Connor Shorten, Taghi M. Khoshgoftaar, Borko Furht |
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