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Seyed Mohammad Hassan Erfani
Seyed Mohammad Hassan Erfani
在 columbia.edu 的电子邮件经过验证 - 首页
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引用次数
引用次数
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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
682017
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
342018
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
322022
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
292019
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
42023
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
42022
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
12024
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
12023
A large dataset of fluvial hydraulic and geometry attributes derived from USGS field measurement records
SMH Erfani, M Erfani, S Cohen, ARJ Downey, E Goharian
Environmental Modelling & Software, 106136, 2024
2024
Bankfull and Mean-flow Channel Geometry Estimation through a Hybrid Multi-Regression and Machine Learning Algorithms across the CONtiguous United States (CONUS)
R Zarrabi, R McDermott, SMH Erfani, S Cohen
Authorea Preprints, 2024
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
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
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
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