6 citations · 8 across the 4 of their papers we have counts for
5 papers
A pedagogically guided LLM framework for scaffolding human-AI cocreation and preserving learners' agency and creativity
Ijaz Ul Haq
Large language models (LLMs) can generate alternatives, elaborate ideas and supply rationales, overlapping with cognitive work learners are expected to perform. However, human-AI c…
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…
TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection
Ijaz Ul Haq, Byung Suk Lee, Donna M. Rizzo
The surge in real-time data collection across various industries has underscored the need for advanced anomaly detection in both univariate and multivariate time series data. This…
Impact of Augmented reality system on elementary school ESL learners in country side of china: Motivations, achievements, behaviors and cognitive attainment
Ijaz Ul Haq
The English proficiency of students in rural areas of China tends to be lower than that of their urban counterparts, owing to outdated teaching methods, a lack of advanced technolo…
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…