7 citations · 9 across the 8 of their papers we have counts for
4 papers · 1 filter
Aligning load flexibility with emissions reduction: empirical insights from a multi-site study of cryptocurrency data centers
Veronica M. Paez, Neda Mohammadi, John E. Taylor
The power sector is responsible for 32 percent of global greenhouse gas emissions. Data centers and cryptocurrencies use significant amounts of electricity and contribute to these…
Knowledge-Guided Vision-Language Inference for Image-Based Urban Flood Depth Estimation
Zhangding Liu, Neda Mohammadi, John E. Taylor
Timely floodwater depth estimates support road accessibility assessment and emergency response during urban flooding. Supervised vision methods often require extensive labeled data…
MCANet: A Multi-Scale Class-Specific Attention Network for Multi-Label Post-Hurricane Damage Assessment Using UAV Imagery
Zhangding Liu, Neda Mohammadi, John E. Taylor
Hurricanes cause widespread damage to buildings, roads, and other infrastructure, making timely post-disaster damage assessment critical for emergency response and recovery plannin…
Multi-Label Classification Framework for Hurricane Damage Assessment
Zhangding Liu, Neda Mohammadi, John E. Taylor
Hurricanes cause widespread destruction, resulting in diverse damage types and severities that require timely and accurate assessment for effective disaster response. While traditi…