most citedAn Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone

6 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2025

HydroGEM: A Self Supervised Zero Shot Hybrid TCN Transformer Foundation Model for Continental Scale Streamflow Quality Control

Ijaz Ul Haq, Byung Suk Lee, Julia N. Perdrial +1

Advances in sensor networks have enabled real-time stream discharge monitoring, yet persistent sensor malfunctions limit data utility. Manual quality control by expert hydrologists…

cs.LG2023★ 6 cited

An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone

Ijaz Ul Haq, Byung Suk Lee, Donna M. Rizzo +1

This paper presents an automated machine learning framework designed to assist hydrologists in detecting anomalies in time series data generated by sensors in a research watershed…