Home / Publications / Journals / Nuclear Technology / Volume 205 / Number 8
Machine-Learning Analysis of Moisture Carryover in Boiling Water Reactors
Nuclear Technology / Volume 205 / Number 8 / August 2019 / Pages 1003-1020
Technical Paper – Special section on Big Data for Nuclear Power Plants / dx.doi.org/10.1080/00295450.2019.1583957
Automated Identification of Causal Relationships in Nuclear Power Plant Event Reports
Nuclear Technology / Volume 205 / Number 8 / August 2019 / Pages 1021-1034
Technical Paper – Special section on Big Data for Nuclear Power Plants / dx.doi.org/10.1080/00295450.2019.1580967
Nuclear Technology / Volume 205 / Number 8 / August 2019 / Pages 1035-1042
Technical Paper – Special section on Big Data for Nuclear Power Plants / dx.doi.org/10.1080/00295450.2018.1541394
Using Kernel Density Estimation to Detect Loss-of-Coolant Accidents in a Pressurized Water Reactor
Nuclear Technology / Volume 205 / Number 8 / August 2019 / Pages 1043-1052
Technical Paper – Special section on Big Data for Nuclear Power Plants / dx.doi.org/10.1080/00295450.2018.1534484
A Data Model for Nuclear Power Plant Work Packages
Nuclear Technology / Volume 205 / Number 8 / August 2019 / Pages 1053-1061
Technical Paper – Special section on Big Data for Nuclear Power Plants / dx.doi.org/10.1080/00295450.2019.1601469
Methods of Data Collection in Nuclear Power Plants
Nuclear Technology / Volume 205 / Number 8 / August 2019 / Pages 1062-1074
Rapid Communication – Special section on Big Data for Nuclear Power Plants / dx.doi.org/10.1080/00295450.2019.1610637
Nuclear Technology / Volume 205 / Number 8 / August 2019 / Pages 1075-1094
Regular Technical Paper / dx.doi.org/10.1080/00295450.2019.1574119
Probabilistic Assessment of Peak Cladding Hoop Stress and Hydrogen Content of PWR SNF Rod Cladding
Nuclear Technology / Volume 205 / Number 8 / August 2019 / Pages 1095-1118
Regular Technical Paper / dx.doi.org/10.1080/00295450.2019.1575127
Nuclear Technology / Volume 205 / Number 8 / August 2019 / Pages 1119-1125
Regular Technical Paper / dx.doi.org/10.1080/00295450.2019.1575126