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Jeanne Holm
Jeanne Holm
Deputy Mayor, City of Los Angeles; Distinguished Instructor, UCLA
Verified email at ucla.edu - Homepage
Title
Cited by
Cited by
Year
Microwave remote sensing of sea ice
FD Carsey, J Holm (Technical Editor)
Geophysical Monograph Series 68, 1-462, 1992
3261992
US Government Linked Open Data: Semantic Data.gov
J Hendler, J Holm, C Musialek, G Thomas
IEEE Intelligent Systems, 25-31, 2012
1692012
Capturing the spirit of knowledge management
J Holm
962001
Data-driven business models: challenges and opportunities of big data
M Bulger, G Taylor, R Schroeder
Oxford Internet Institute. Research Councils UK: NEMODE, New Economic Models …, 2014
932014
Creating architectural approaches to knowledge management: an example from the space industry
J Holm, P Olla, D Moura, M Warhaut
Journal of Knowledge Management, 2006
472006
Spacecraft environmental anomalies handbook
PA Robinson
Geophysics Laboratory, Air Force Systems Command, US Air Force, 1989
441989
The role of knowledge management in the space industry: important or superfluous?
P Olla, J Holm
Journal of Knowledge Management 10 (2), 3-7, 2006
362006
Predicting PM2. 5 atmospheric air pollution using deep learning with meteorological data and ground-based observations and remote-sensing satellite big data
P Muthukumar, E Cocom, K Nagrecha, D Comer, I Burga, J Taub, ...
Air Quality, Atmosphere & Health, 1-14, 2021
342021
Knowledge Reuse for Innovation--The Missing Focus in Knowledge Management: Results of a Case Analysis at the Jet Propulsion Laboratory
A Majchrzak, OE Neece, LP Cooper
Academy of Management Proceedings 2001 (1), A1-A6, 2001
292001
Managing knowledge and learning at NASA and the Jet Propulsion Laboratory (JPL)
D Leonard, D Kiron
Harvard Business School, 2002
272002
COVID-19 Risk Estimation using a Time-varying SIR-model
M Kiamari, G Ramachandran, Q Nguyen, E Pereira, J Holm, ...
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Modeling and …, 2020
262020
PM2. 5 Air Pollution Prediction through Deep Learning Using Multisource Meteorological, Wildfire, and Heat Data
P Muthukumar, K Nagrecha, D Comer, CF Calvert, N Amini, J Holm, ...
Atmosphere 13 (5), 822, 2022
172022
Sensor-Based Air Pollution Prediction Using Deep CNN-LSTM
K Nagrecha, P Muthukumar, E Cocom, J Holm, D Comer, I Burga, ...
2020 International Conference on Computational Science and Computational …, 2020
162020
The Semantic Web-ISWC 2012-11th International Semantic Web Conference, Boston, MA, USA, November 11-15, 2012
P Cudré-Mauroux, J Heflin, E Sirin, T Tudorache, J Euzenat, M Hauswirth, ...
Proceedings, 2012
16*2012
The Voyager Neptune Travel Guide
C Kohlhase, J Holm (Technical Editor)
The Voyager Neptune travel guide., by Kohlhase, C.. Jet Propulsion Lab …, 1989
161989
Strategic Plan for Knowledge Management
J Holm, et al.
National Aeronautics and Space Administration, 2002
15*2002
Governance, Sociotechnical Systems and Knowledge Society: Challenges and Reflections
AJ Balloni, PH Souza Bermejo, J Holm, A Tonelli
Organizational Integration of Enterprise Systems and Resources: Advancements …, 2010
122010
Real-time spatiotemporal air pollution prediction with deep convolutional lstm through satellite image analysis
P Muthukumar, E Cocom, J Holm, D Comer, A Lyons, I Burga, ...
Advances in Data Science and Information Engineering: Proceedings from …, 2021
112021
Trends and management challenges of the changing workforce: Knowledge management as a possible remedy
J Liebowitz, J Liebowitz
Laboratory Medicine 37 (6), 335-338, 2006
102006
Satellite Image Atmospheric Air Pollution Prediction through Meteorological Graph Convolutional Network with Deep Convolutional LSTM
P Muthukumar, E Cocom, K Nagrecha, J Holm, D Comer, A Lyons, I Burga, ...
2020 International Conference on Computational Science and Computational …, 2020
92020
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