A multi-lander New Frontiers mission concept study for Enceladus: SILENUS E Nathan, K Balachandran, P Cappuccio, J Di, K Doerksen, A Gloder, ... Frontiers in Astronomy and Space Sciences 9, 995941, 2022 | 5 | 2022 |
Machine learning for early satellite anomaly detection P Bernal-Mencia, K Doerksen, C Yap | 4 | 2021 |
Solar EUV‐Enhancement and Thermospheric Disturbances C Briand, K Doerksen, F Deleflie Space Weather 19 (12), e2021SW002840, 2021 | 3 | 2021 |
Planning team operations for the canmoon lunar sample return analogue mission JD Newman, EA Pilles, ZR Morse, CL Marion, PA Christoffersen, PJA Hill, ... 51st Annual Lunar and Planetary Science Conference, 2196, 2020 | 3 | 2020 |
Atmospheric density variations and orbit perturbations in relation to isolated solar X-flare events F Deleflie, K Doerksen, C Briand, MA Sammuneh, L Sagnieres EGU General Assembly Conference Abstracts, in: EGU General Assembly …, 2019 | 3 | 2019 |
Student Perspectives on the 2017 ESA Concurrent Engineering Challenge K Doerksen, T Van‘t Klooster, W Ferguson, S Pepper, D van Paridon, ... | 3 | 2018 |
Discovering the Drivers of Systematic Errors in Global Air Quality Estimates Using Explainable Machine Learning. Y Marchetti, K Miyazaki, S Lu, J Montgomery, K Doerksen, KW Bowman AGU23, 2023 | | 2023 |
Leveraging Machine Learning, Ensemble Precipitation Forecasts and Hillslope-scale Impact Modeling for a Unified Multi-hazard approach to Landslide Forecasting in Nepal K Doerksen, S Li, A Dunant, MVW de Vries, A Densmore, Y Gal, ... AGU23, 2023 | | 2023 |
Deep Learning for Global Air Quality and its Prediction K Doerksen, Y Marchetti, K Miyazaki, S Lu, KW Bowman, J Montgomery, ... AGU23, 2023 | | 2023 |
Precipitation-Triggered Landslide Prediction in Nepal Using Machine Learning and Deep Learning K Doerksen, Y Gal, F Kalaitzis, C Rossi, D Petit, S Li, S Dadson IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
Leveraging Deep Learning for Physical Model Bias of Global Air Quality Estimates K Doerksen, Y Marchetti, K Miyazaki, K Bowman, S Lu, J Montgomery, ... Neurips Machine Learning for Physical Science Workshop, 2023 | | 2023 |
Automated fleet commissioning workflows at Planet JA Gutierrez Ahumada, K Doerksen, S Zeller | | 2021 |
Autonomous Systems Validation (SysVal) Environment for Advancing Mission Operations K Doerksen, K Fischer | | 2021 |
Rapid Mission Concept Development at the 2019 Caltech Space Challenge: A Small Lander Network Studying the Habitability of Enceladus K Doerksen, K Balachandran, P Cappuccio, J Di, J Fuchs, A Gloder, ... University of Leicester, 2020 | | 2020 |
A Mission Concept Investigating the Habitability of Enceladus: SILENUS K Balachandran, E Nathan, M Rovira-Navarro, P Cappuccio, J Di, ... 51st Annual Lunar and Planetary Science Conference, 1339, 2020 | | 2020 |
SILENUS: A Mission Concept Investigating the Habitability of Enceladus K Balachandran, P Cappuccio, J Di, K Doerksen, J Fuchs, A Gloder, ... EPSC-DPS Joint Meeting 2019 2019, EPSC-DPS2019-1302, 2019 | | 2019 |
A Statistical Analysis of Density Perturbations in Relation to Solar X-Flare Events Isolated from Coronal Mass Ejections K Doerksen, L Sagnières, F Deleflie, C Briand, MA Sammuneh 99th American Meteorological Society Annual Meeting, 2019 | | 2019 |
Machine Learning Classification of Interplanetary Coronal Mass Ejections Using Satellite Accelerometers K Doerksen The University of Western Ontario (Canada), 2019 | | 2019 |
6–7 Mar 2023 Meteorological Institute, University of Cologne Europe/Berlin timezone K Doerksen | | |
Driving mechanisms of global surface ozone and its bias in the chemical reanalysis using machine-learning approaches K Miyazaki, Y Marchetti, S Lu, KW Bowman, J Montgomery, K Doerksen AGU23, 0 | | |