124 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Argonne National LaboratoryUS15 papers
- Brookhaven National LaboratoryUS15 papers
- Fermi National Accelerator LaboratoryUS15 papers
- Iowa State UniversityUS15 papers
- Lawrence Berkeley National LaboratoryUS15 papers
- Louisiana State UniversityUS15 papers
- Stony Brook UniversityUS15 papers
- Texas A&M University – Corpus ChristiUS15 papers
- University of California, DavisUS15 papers
- University of California, IrvineUS15 papers
- University of IowaUS15 papers
- Virginia TechUS15 papers
6 papers · 1 filter
DeepWiTraffic: Low Cost WiFi-Based Traffic Monitoring System Using Deep Learning
Myounggyu Won, Sayan Sahu, Kyung-Joon Park
A traffic monitoring system (TMS) is an integral part of Intelligent Transportation Systems (ITS). It is an essential tool for traffic analysis and planning. One of the biggest cha…
Review of several false positive error rate estimates for latent fingerprint examination proposed based on the 2014 Miami Dade Police Department study
Madeline Ausdemore, Jessie H. Hendricks, Cedric Neumann
During the past decade, several studies have been conducted to estimate the false positive error rate (FPR) associated with latent fingerprint examination. The so-called Black-box…
DeepWalking: Enabling Smartphone-based Walking Speed Estimation Using Deep Learning
Aawesh Shrestha, Myounggyu Won
Walking speed estimation is an essential component of mobile apps in various fields such as fitness, transportation, navigation, and health-care. Most existing solutions are focuse…
SaferCross: Enhancing Pedestrian Safety Using Embedded Sensors of Smartphone
Myounggyu Won, Aawesh Shrestha, Kyung-Joon Park +1
The number of pedestrian accidents continues to keep climbing. Distraction from smartphone is one of the biggest causes for pedestrian fatalities. In this paper, we develop SaferCr…
Two-stage approach for the inference of the source of high-dimension and complex chemical data in forensic science
Madeline Ausdemore, Cedric Neumann, Christopher Saunders +2
Forensic scientists are often criticised for the lack of quantitative support for the conclusions of their examinations. While scholars advocate for the use of a Bayes factor to qu…
Quantification of the weight of fingerprint evidence using a ROC-based Approximate Bayesian Computation algorithm for model selection
J. H. Hendricks, C. Neumann, C. P. Saunders
For more than a century, fingerprints have been used with considerable success to identify criminals or verify the identity of individuals. The categorical conclusion scheme used b…