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researcher

Yeon Pyo Kim

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.DC2

identity via Semantic Scholar / OpenAlex

most citedScalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities

3 citations · 3 across the 2 of their papers we have counts for

collaborators

2 papers

cs.DC2021

Scalable Traffic Predictive Analysis using GPU in Big Data

Dalyapraz Dauletbak, Junghoon Heo, Sooyoung Kim +2

The paper adopts parallel computing systems for predictive analysis in both CPU and GPU leveraging Spark Big Data platform. The traffic dataset is adopted to predict the traffic ja…

cs.DC2021★ 3 cited

Scalable Predictive Time-Series Analysis of COVID-19: Cases and Fatalities

Shradha Shinde, Jay Joshi, Sowmya Mareedu +2

COVID 19 is an acute disease that started spreading throughout the world, beginning in December 2019. It has spread worldwide and has affected more than 7 million people, and 200 t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.