Skip to main navigation
Skip to search
Skip to main content
WashU Medicine Research Profiles Home
Help & FAQ
Home
Profiles
Departments, Divisions and Centers
Research output
Search by expertise, name or affiliation
Development of a machine learning model for river bed load
Hossein Hosseiny
, Claire C. Masteller
, Jedidiah E. Dale
, Colin B. Phillips
Department of Earth & Planetary Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
9
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Development of a machine learning model for river bed load'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Machine Learning Models
100%
Artificial Neural Network Model
100%
Bedload
100%
Bedload Transport
50%
Difficult Problem
25%
Sensitivity Analysis
25%
Machine Learning
25%
Inherent Variability
25%
Surface Sediments
25%
River Channel
25%
Data-driven Predictive Model
25%
Sediment Transport Rate
25%
Bedload Sediment Transport
25%
Channel Morphology
25%
River Hydraulics
25%
Sediment Size
25%
River Discharge
25%
Sediment Rating Curve
25%
Flow Width
25%
Bed Slope
25%
Discharge Flow
25%
Multi-site Calibration
25%
Earth and Planetary Sciences
Machine Learning
100%
Artificial Neural Network
100%
River Bed
100%
Earth Surface Sediment Transport
25%
River Discharge
25%
Rating Curve
25%
Channel Morphology
25%
Surface Sediment
25%
Chemical Engineering
Learning System
100%
Neural Network
100%