| Automatic extraction of road intersection points from USGS historical map series using deep convolutional neural networks M Saeedimoghaddam, TF Stepinski International Journal of Geographical Information Science 34 (5), 947-968, 2020 | 54 | 2020 |
| Rényi’s spectra of urban form for different modalities of input data M Saeedimoghaddam, TF Stepinski, A Dmowska Chaos, Solitons & Fractals 139, 109995, 2020 | 6 | 2020 |
| Modeling a spatio-temporal individual travel behavior using geotagged social network data: a case study of greater cincinnati M Saeedimoghaddam, C Kim ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017 | 4 | 2017 |
| A probabilistic space-time prism to explore changes in white Stork habitat use in Iran M Saeedimoghaddam, M Keyanpour-Rad, H Shafizadeh-Moghadam, ... Ecological Indicators 78, 156-166, 2017 | 4 | 2017 |
| An artificial neural network emulator of the rangeland hydrology and erosion model M Saeedimoghaddam, G Nearing, M Hernandez, MA Nearing, ... International Soil and Water Conservation Research, 2023 | 1 | 2023 |
| Multiplicative random cascade models of multifractal urban structures M Saeedimoghaddam, TF Stepinski Physica A: Statistical Mechanics and its Applications 569, 125767, 2021 | 1 | 2021 |
| Exploring the Effectiveness of the Urban Growth Boundaries in USA using the Multifractal Analysis of the Road Intersection Points, A Case Study of Portland, Oregon M Saeedimoghaddam University of Cincinnati, 2020 | 1 | 2020 |
| An AI-First Framework for Digital Twins: Construction and Demonstration with a Land Surface Model B Smith, C Pelissier, GS Nearing, C Cruz, D Raghunandan, ... AGU23, 2023 | | 2023 |
| Understanding Drought Awareness from Web Data M Rahman, SS Solis, T Harter, M Saeedimoghaddam, N Efron, G Nearing EarthArXiv, 2023 | | 2023 |
| An Artificial Neural Network to Estimate the Foliar and Ground Cover Input Variables of the Rangeland Hydrology and Erosion Model M Saeedimoghaddam, G Nearing, DC Goodrich, M Hernandez, ... EarthArXiv, 2023 | | 2023 |
| Dynamic Attributes in Deep Learning Rainfall-Runoff Models to Address Non-Stationarity L Qualls, J Frame, G Nearing, M Saeedimoghaddam AGU Fall Meeting Abstracts 2021, H35ZB-03, 2021 | | 2021 |
Tomasz StepinskiProfessor of Space Exploration, University of CincinnatiZweryfikowany adres z uc.edu
