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Upmanu Lall
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2020 – today
- 2023
- [j9]Mohammad Amin Hariri-Ardebili, Golsa Mahdavi, Larry K. Nuss, Upmanu Lall:
The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook. Eng. Appl. Artif. Intell. 126: 106813 (2023) - [i2]Tejit Pabari, Beth Tellman, Giannis Karamanolakis, Mitchell Thomas, Max Mauerman, Eugene Wu, Upmanu Lall, Marco Tedesco, Michael S. Steckler, Paolo Colosio, Daniel E. Osgood, Melody Braun, Jens de Bruijn, Shammun Islam:
Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance. CoRR abs/2312.14943 (2023) - 2022
- [j8]Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang:
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. 43(1): 93-104 (2022) - [j7]Yash Amonkar, David J. Farnham, Upmanu Lall:
A k-nearest neighbor space-time simulator with applications to large-scale wind and solar power modeling. Patterns 3(3): 100454 (2022) - 2021
- [j6]Ali Amini, Azam Abdollahi, Mohammad Amin Hariri-Ardebili, Upmanu Lall:
Copula-based reliability and sensitivity analysis of aging dams: Adaptive Kriging and polynomial chaos Kriging methods. Appl. Soft Comput. 109: 107524 (2021) - 2020
- [j5]Yi Xuan, Lucas Ford, G. (Kumar) Mahinthakumar, Assis De Souza Filho, Upmanu Lall, A. Sankarasubramanian:
GRAPS: Generalized Multi-Reservoir Analyses using probabilistic streamflow forecasts. Environ. Model. Softw. 133: 104802 (2020)
2010 – 2019
- 2019
- [j4]Awi Federgruen, Upmanu Lall, A. Serdar Simsek:
Supply Chain Analysis of Contract Farming. Manuf. Serv. Oper. Manag. 21(2): 361-378 (2019) - 2017
- [j3]Peter Golding, Sam Kapadia, Stella Naylor, Jonathan Schulz, Holger R. Maier, Upmanu Lall, Marijn Van der Velde:
Framework for minimising the impact of regional shocks on global food security using multi-objective ant colony optimisation. Environ. Model. Softw. 95: 303-319 (2017) - [i1]Jianan Cao, David J. Farnham, Upmanu Lall:
Spatial-temporal wind field prediction by Artificial Neural Networks. CoRR abs/1712.05293 (2017) - 2012
- [c1]Jaya Kawale, Stefan Liess, Vipin Kumar, Upmanu Lall, Auroop R. Ganguly:
Mining time-lagged relationships in spatio-temporal climate data. CIDU 2012: 130-135
1990 – 1999
- 1995
- [j2]Ken W. Bosworth, Upmanu Lall:
LOWLAD: a locally weightedL1 smoothing spline algorithm with cross validated choice of smoothing parameters. Numer. Algorithms 9(1): 85-106 (1995) - 1993
- [j1]Ken W. Bosworth, Upmanu Lall:
AnL1 smoothing spline algorithm with cross validation. Numer. Algorithms 5(8): 407-417 (1993)
Coauthor Index
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