115 citations · 179 across the 14 of their papers we have counts for
7 papers · 1 filter
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…
A Fast, Scalable, Universal Approach For Distributed Data Aggregations
Niranda Perera, Vibhatha Abeykoon, Chathura Widanage +7
In the current era of Big Data, data engineering has transformed into an essential field of study across many branches of science. Advancements in Artificial Intelligence (AI) have…
CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU
Bo Feng, Qian Lou, Lei Jiang +1
Billions of text analysis requests containing private emails, personal text messages, and sensitive online reviews, are processed by recurrent neural networks (RNNs) deployed on pu…
Deep Tiered Image Segmentation For Detecting Internal Ice Layers in Radar Imagery
Yuchen Wang, Mingze Xu, John Paden +3
Understanding the structure of Earth's polar ice sheets is important for modeling how global warming will impact polar ice and, in turn, the Earth's climate. Ground-penetrating rad…