11 citations
- Duke UniversityUS1 paper
- High Meadows Environmental InstituteUS1 paper
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT1 paper
- Marquette UniversityUS1 paper
- Politecnico di TorinoIT1 paper
- Princeton UniversityUS1 paper
- Stantec (Canada)CA1 paper
- University of PennsylvaniaUS1 paper
- Water Institute of the GulfUS1 paper
3 papers
physics.geo-ph2022★ 11 cited
Physically-based dimensionless features for pluvial flood mapping with machine learning
Mark S. Bartlett, Jared Van Blitterswyk, Martha Farella +5
Rapid delineation of flash flood extents is critical to mobilize emergency resources and to manage evacuations, thereby saving lives and property. Machine learning (ML) approaches…
cond-mat.stat-mech2019★ 4 cited
Jump Processes with Deterministic and Stochastic Controls
Mark S. Bartlett Amilcare Porporato Lamberto Rondoni
We consider the dynamics of a 1D system evolving according to a deterministic drift and randomly forced by two types of jumps processes, one representing an external, uncontrolled…
stat.AP2017
Urban Vibrancy and Safety in Philadelphia
Colman Humphrey, Shane T. Jensen, Dylan Small +1
Statistical analyses of urban environments have been recently improved through publicly available high resolution data and mapping technologies that have been adopted across indust…