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20222026
most citedAI Meets Natural Hazard Risk: A Nationwide Vulnerability Assessment of Data Centers to Natural Hazards and Power Outages

9 citations · 33 across the 18 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CY2024★ 9 cited

AI Meets Natural Hazard Risk: A Nationwide Vulnerability Assessment of Data Centers to Natural Hazards and Power Outages

Miguel Esparza, Bo Li, Junwei Ma +1

Our society is on the verge of a revolution powered by Artificial Intelligence (AI) technologies. With increasing advancements in AI, there is a growing expansion in data centers (…

cs.CY2024★ 1 cited

Establishing Nationwide Power System Vulnerability Index across US Counties Using Interpretable Machine Learning

Junwei Ma, Bo Li, Olufemi A. Omitaomu +1

Power outages have become increasingly frequent, intense, and prolonged in the US due to climate change, aging electrical grids, and rising energy demand. However, largely due to t…

physics.soc-ph2024★ 1 cited

Recent Decade's Power Outage Data Reveals the Increasing Vulnerability of U.S. Power Infrastructure

Bo Li, Junwei Ma, Femi Omitaomu +1

Despite significant anecdotal evidence regarding the vulnerability of the U.S. power infrastructure, there is a dearth of longitudinal and nation-level characterization of the spat…

cs.CL2024

CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

Kai Yin, Bo Li, Chengkai Liu +2

In the field of crisis/disaster informatics, social media is increasingly being used for improving situational awareness to inform response and relief efforts. Efficient and accura…

cs.CY2024

Beyond Quantities: Machine Learning-based Characterization of Inequality in Infrastructure Quality Provision in Cities

Bo Li, Ali Mostafavi

The objective of this study is to characterize inequality in infrastructure quality across urban areas. While a growing of body of literature has recognized the importance of chara…