| A novel approach to find and optimize bin locations and collection routes using a geographic information system SMH Erfani, S Danesh, SM Karrabi, R Shad Waste Management & Research 35 (7), 776-785, 2017 | 64 | 2017 |
| Using applied operations research and geographical information systems to evaluate effective factors in storage service of municipal solid waste management systems SMH Erfani, S Danesh, SM Karrabi, R Shad, S Nemati Waste Management 79, 346-355, 2018 | 32 | 2018 |
| ATLANTIS: A benchmark for semantic segmentation of waterbody images SMH Erfani, Z Wu, X Wu, S Wang, E Goharian Environmental Modelling & Software 149, 105333, 2022 | 30 | 2022 |
| Statistical analysis of effective variables on the performance of waste storage service using geographical information system and response surface methodology SMH Erfani, S Danesh, SM Karrabi, M Gheibi, S Nemati Journal of environmental management 235, 453-462, 2019 | 25 | 2019 |
| Vision-based texture and color analysis of waterbody images using computer vision and deep learning techniques SMH Erfani, E Goharian Journal of Hydroinformatics 25 (3), 835-850, 2023 | 4 | 2023 |
| Atex: a benchmark for image classification of water in different waterbodies using deep learning approaches SMH Erfani, E Goharian Journal of Water Resources Planning and Management 148 (11), 04022063, 2022 | 2 | 2022 |
| Efficient semi-supervised surface crack segmentation with small datasets based on consistency regularisation and pseudo-labelling EA Shamsabadi, SMH Erfani, C Xu, D Dias-da-Costa Automation in Construction 158, 105181, 2024 | 1 | 2024 |
| Harnessing Heterogeneous Sources of Data and Artificial Intelligence for Hydrologic Monitoring E Goharian, SMH Erfani, MH Goloujeh EGU24, 2024 | | 2024 |
| Unraveling patterns in river geometry: Multi-model machine learning for continental-scale predictions SY Chang, Z Ghahremani, L Manuel, M Erfani, C Shen, S Cohen, ... AGU23, 2023 | | 2023 |
| River geometry estimation under bankfull and mean flow conditions over the Contiguous United States (CONUS) using Machine Learning (ML) techniques R Zarrabi, R McDermott, S Cohen, M Erfani AGU23, 2023 | | 2023 |
| Estimation of Channel Shape for the CONUS Using Regression and Machine Learning Approaches R McDermott, R Zarrabi, S Cohen, M Erfani AGU23, 2023 | | 2023 |
| A Large Dataset of Fluvial Hydraulic and Geometry Attributes Derived from USGS field measurement records M Erfani, M Erfani, S Cohen, E Goharian AGU23, 2023 | | 2023 |
| The geometry of flow: Advancing predictions of river geometry with multi-model machine learning SY Chang, Z Ghahremani, L Manuel, M Erfani, C Shen, S Cohen, ... arXiv preprint arXiv:2312.11476, 2023 | | 2023 |
| Eye of Horus: A Vision-based Framework for Real-time Water Level Measurement SMH Erfani, C Smith, Z Wu, EA Shamsabadi, F Khatami, ARJ Downey, ... Authorea Preprints, 2023 | | 2023 |
| Developing a Vision-Based Framework for Measuring and Monitoring Water Resource Systems Using Computer Vision and Deep Learning Techniques SMH Erfani University of South Carolina, 2023 | | 2023 |
| A Vision-based Framework for Monitoring and Measurement of Water Depth SMH Erfani, E Goharian Fall Meeting 2022, H42C-1263, 2022 | | 2022 |
| Deep Learning-based Models for Estimating River Channel Width SMH Erfani, Z Ghahremani, L Manuel, SY Chang, E Goharian, JL Pierce, ... Fall Meeting 2022, H32R-1147, 2022 | | 2022 |
| Data Driven Approaches for Estimating River Channel Geometry over the Continental United States SY Chang, Z Ghahremani, L Manuel, M Erfani, KJ Van Meter, EA Meselhe, ... AGU Fall Meeting Abstracts 2022, H52B-05, 2022 | | 2022 |
| Vision-based Analysis of Water, a Shapeless and Transparent Object SMH Erfani, E Goharian South Carolina Environmental Conference (SCEC) 2022, 2022 | | 2022 |
| ATeX: A Benchmark for Image Textures Analysis of Water in Different Waterbodies M Erfani, E Goharian AGU Fall Meeting Abstracts 2021, H25K-1169, 2021 | | 2021 |
