97 citations
- University of DelawareUS4 papers
- Arizona State UniversityUS2 papers
- Bangladesh University of Engineering and TechnologyBD2 papers
- Centre de Recerca MatemàticaES2 papers
- Cloud Computing CenterCN2 papers
- Ernst Ruska CentreDE2 papers
- Forschungszentrum JülichDE2 papers
- Georgia State UniversityUS2 papers
- Louisiana State UniversityUS2 papers
- Northwestern UniversityUS2 papers
- Texas A&M UniversityUS2 papers
- The Ohio State UniversityUS2 papers
78 papers
Joint Temperature-Precipitation Patterns in the U.S. South Central Region: Multivariate Functional Inference and Gaussian Mixture Modeling
Gihani V. W. W. Disanayakage, Asim K. Dey, Kumer P. Das
Joint variability in temperature and precipitation is central in characterizing seasonal climate structure and associated environmental processes, yet many regional analyses rely o…
Network exploration by random walks: A large deviation perspective
Sarvesh K. Upadhyay, Trifce Sandev, Sanjay Kumar +1
We study exploration properties of a random walk on a network. For a fully connected network we find that the problem can be mapped to the well known coupon collector problem, thus…
Strontium-84 Enrichments in Presolar Grains Provide First Evidence of p-process Nucleosynthesis in Core-collapse Supernovae
Ishita Pal, Manavi Jadhav, Danielle Z. Shulaker +9
This study reports detection of rare p-process isotopes within presolar grains. Presolar grains are relic dust grains from dying stars. These microscopic dust particles are found i…
From Harm to Healing: Understanding Individual Resilience after Cybercrimes
Xiaowei Chen, Mindy Tran, Yue Deng +2
How do individuals recover from cybercrimes? Victims experience various types of harm after cybercrimes, including monetary loss, data breaches, negative emotions, and even psychol…
Evaluating Spatio-Temporal Forecasting Trade-offs Between Graph Neural Networks and Foundation Models
Ragini Gupta, Naman Raina, Bo Chen +5
Modern IoT deployments for environmental sensing produce high volume spatiotemporal data to support downstream tasks such as forecasting, typically powered by machine learning mode…
A Note on Persistence Theory with Applications
N. Pant
The persistence theory has been employed by several authors in order to study persistence properties of dynamical systems generated by ordinary differential equations or maps acros…