| 1 |
Source localization for hazardous material release in an outdoor chemical plant via a combination of LSTM-RNN and CFD simulation
Kim H, Park M, Kim CW, Shin D
Computers & Chemical Engineering, 125, 476, 2019 |
| 2 |
Deep neural network and random forest classifier for source tracking of chemical leaks using fence monitoring data
Cho J, Kim H, Gebreselassie AL, Shin D
Journal of Loss Prevention in The Process Industries, 56, 548, 2018 |
| 3 |
The Eye Opener: Preparing for and Performing Facility Siting to Best Communicate with Upper Management
James M
Process Safety Progress, 36(2), 158, 2017 |
| 4 |
Consequence modeling at the Eastman Kingsport site
James M, Skelton D
Process Safety Progress, 36(4), 338, 2017 |
| 5 |
Consequence Modeling of Dynamic Source Terms
James M
Process Safety Progress, 35(4), 392, 2016 |
| 6 |
Uncertainties in QRA: Analysis of losses of containment from piping and implications on risk prevention and mitigation
Milazzo MF, Vianello C, Maschio G
Journal of Loss Prevention in The Process Industries, 36, 98, 2015 |
| 7 |
Simplified Methods of Using Probit Analysis in Consequence Analysis
James M
Process Safety Progress, 34(1), 58, 2015 |
| 8 |
Modeling Dispersion and Deposition of Smoke Generated from Chemical Fires
Khajehnajafi S, Pourdarvish R, Shah H
Process Safety Progress, 30(2), 168, 2011 |
| 9 |
Runaway chemical reaction exposes community to highly toxic chemicals
Kaszniak M, Vorderbrueggen J
Journal of Hazardous Materials, 159(1), 2, 2008 |
| 10 |
Hazardous substances releases associated with Hurricanes Katrina and Rita in industrial settings, Louisiana and Texas
Ruckart PZ, Orr MF, Lanier K, Koehler A
Journal of Hazardous Materials, 159(1), 53, 2008 |
