|
Original Artikel |
Datum |
Titel |
Autoren Max. 6 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, 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, 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, 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, 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 |