118 citations
- The University of Texas Health Science Center at HoustonUS2 papers
- The University of Texas MD Anderson Cancer CenterUS2 papers
- Aarhus UniversityDK1 paper
- Aarhus University HospitalDK1 paper
- Association for Computing MachineryUS1 paper
- Baylor College of MedicineUS1 paper
- Cancer Research UK Cambridge CenterGB1 paper
- Christian-Albrechts-Universität zu KielDE1 paper
- Hebrew University of JerusalemIL1 paper
- Johns Hopkins UniversityUS1 paper
- Sunnybrook Health Science CentreCA1 paper
- Sunnybrook Research Institute1 paper
7 papers · 1 filter
P-Cloth: Interactive Complex Cloth Simulation on Multi-GPU Systems using Dynamic Matrix Assembly and Pipelined Implicit Integrators
Cheng Li, Min Tang, Ruofeng Tong +3
We present a novel parallel algorithm for cloth simulation that exploits multiple GPUs for fast computation and the handling of very high resolution meshes. To accelerate implicit…
Time Series Analysis and Forecasting of COVID-19 Cases Using LSTM and ARIMA Models
Arko Barman
Coronavirus disease 2019 (COVID-19) is a global public health crisis that has been declared a pandemic by World Health Organization. Forecasting country-wise COVID-19 cases is nece…
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
Laila Rasmy, Yang Xiang, Ziqian Xie +2
Deep learning (DL) based predictive models from electronic health records (EHR) deliver impressive performance in many clinical tasks. Large training cohorts, however, are often re…
Secure and Differentially Private Bayesian Learning on Distributed Data
Yeongjae Gil, Xiaoqian Jiang, Miran Kim +1
Data integration and sharing maximally enhance the potential for novel and meaningful discoveries. However, it is a non-trivial task as integrating data from multiple sources can p…
Forecasting and evaluating intervention of Covid-19 in the World
Zixin Hu, Qiyang Ge, Shudi Li +3
When the Covid-19 pandemic enters dangerous new phase, whether and when to take aggressive public health interventions to slow down the spread of COVID-19. To develop the artificia…
Artificial Intelligence Forecasting of Covid-19 in China
Zixin Hu, Qiyang Ge, Shudi Li +2
BACKGROUND An alternative to epidemiological models for transmission dynamics of Covid-19 in China, we propose the artificial intelligence (AI)-inspired methods for real-time forec…