115 citations · 179 across the 14 of their papers we have counts for
21 papers
Hybrid Reusable Computational Analytics Workflow Management with Cloudmesh
Gregor von Laszewski, J. P. Fleischer, Geoffrey C. Fox
In this paper, we summarize our effort to create and utilize a simple framework to coordinate computational analytics tasks with the help of a workflow system. Our design is based…
Multidimensional Scaling for Gene Sequence Data with Autoencoders
Pulasthi Wickramasinghe, Geoffrey Fox
Multidimensional scaling of gene sequence data has long played a vital role in analysing gene sequence data to identify clusters and patterns. However the computation complexities…
Deep learning approaches to surrogates for solving the diffusion equation for mechanistic real-world simulations
J. Quetzalcóatl Toledo-Marín, Geoffrey Fox, James P. Sluka +1
In many mechanistic medical, biological, physical and engineered spatiotemporal dynamic models the numerical solution of partial differential equations (PDEs) can make simulations…
Spatiotemporal Pattern Mining for Nowcasting Extreme Earthquakes in Southern California
Bo Feng, Geoffrey C. Fox
Geoscience and seismology have utilized the most advanced technologies and equipment to monitor seismic events globally from the past few decades. With the enormous amount of data,…
Data Engineering for HPC with Python
Vibhatha Abeykoon, Niranda Perera, Chathura Widanage +6
Data engineering is becoming an increasingly important part of scientific discoveries with the adoption of deep learning and machine learning. Data engineering deals with a variety…
AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates
Geoffrey C. Fox, Gregor von Laszewski, Fugang Wang +1
The COVID-19 pandemic has profound global consequences on health, economic, social, political, and almost every major aspect of human life. Therefore, it is of great importance to…