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Built environment supports all the daily activities and shapes our health. Leveraging informative street view imagery, previous research has established the profound correlation between the built environment and chronic, non-communicable…

Computer Vision and Pattern Recognition · Computer Science 2023-11-17 Zhenyu Han , Yanxin Xi , Tong Xia , Yu Liu , Yong Li

Subseasonal forecasting of the weather two to six weeks in advance is critical for resource allocation and advance disaster notice but poses many challenges for the forecasting community. At this forecast horizon, physics-based dynamical…

Healthy urban forests comprising of diverse trees and shrubs play a crucial role in mitigating climate change. They provide several key advantages such as providing shade for energy conservation, and intercepting rainfall to reduce flood…

Computer Vision and Pattern Recognition · Computer Science 2025-04-22 Akshit Gupta , Remko Uijlenhoet

Climate models play a crucial role in understanding the effect of environmental and man-made changes on climate to help mitigate climate risks and inform governmental decisions. Large global climate models such as the Community Earth System…

Applications · Statistics 2020-12-02 Niccolò Dalmasso , Galen Vincent , Dorit Hammerling , Ann B. Lee

Vulnerability assessment is a critical challenge in cybersecurity, particularly in industrial environments. This work presents an innovative approach by incorporating the temporal dimension into vulnerability assessment, an aspect neglected…

Cryptography and Security · Computer Science 2026-01-30 Stefano Perone , Simone Guarino , Luca Faramondi , Roberto Setola

Climate change impacts a broad spectrum of human resources and activities, necessitating the use of climate models to project long-term effects and inform mitigation and adaptation strategies. These models generate multiple datasets by…

Unstructured data from diverse sources, such as social media and aerial imagery, can provide valuable up-to-date information for intelligent situation assessment. Mining these different information sources could bring major benefits to…

Machine Learning · Computer Science 2019-04-08 Edwin Simpson , Steven Reece , Stephen J. Roberts

The global occurrence, scale, and frequency of wildfires pose significant threats to ecosystem services and human livelihoods. To effectively quantify and attribute the antecedent conditions for wildfires, a thorough understanding of Earth…

Computer Vision and Pattern Recognition · Computer Science 2023-12-25 Ilektra Karasante , Lazaro Alonso , Ioannis Prapas , Akanksha Ahuja , Nuno Carvalhais , Ioannis Papoutsis

New data sources, and artificial intelligence (AI) methods to extract information from them are becoming plentiful, and relevant to decision making in many societal applications. An important example is street view imagery, available in…

Computers and Society · Computer Science 2025-01-31 Miao Zhang , Salman Rahman , Vishwali Mhasawade , Rumi Chunara

Cyber-physical systems (CPS) integrate sensing, computing, and control to improve infrastructure performance, focusing on economic goals like performance and safety. However, they often neglect potential human-centered (or ''social'')…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Cheyu Lin , John Martins , Katherine A. Flanigan , Ph. D

Crowdsourcing methods facilitate the production of scientific information by non-experts. This form of citizen science (CS) is becoming a key source of complementary data in many fields to inform data-driven decisions and study challenging…

Social media is now the predominant source of information due to the availability of immediate public response. As a result, social media data has become a valuable resource for comprehending public sentiments. Studies have shown that it…

Computation and Language · Computer Science 2024-10-28 Daniyar Amangeldi , Aida Usmanova , Pakizar Shamoi

Flooding is a destructive and dangerous hazard and climate change appears to be increasing the frequency of catastrophic flooding events around the world. Physics-based flood models are costly to calibrate and are rarely generalizable…

Machine Learning · Computer Science 2019-10-16 Chelsea Sidrane , Dylan J Fitzpatrick , Andrew Annex , Diane O'Donoghue , Yarin Gal , Piotr Biliński

Whales are an important part of the oceanic ecosystem. Although historic commercial whale hunting a.k.a. whaling has severely threatened whale populations, whale researchers are looking at historical whaling data to inform current whale…

Databases · Computer Science 2026-05-06 Ameya Patil , Zoe Rand , Trevor Branch , Leilani Battle

The resilience of internet service is crucial for ensuring consistent communication, facilitating emergency response in digitally-dependent society. Due to empirical data constraints, there has been limited research on internet service…

Applications · Statistics 2023-12-15 Yuvraj Gupta , Zhewei Liu , Ali Mostafavi

Security vulnerabilities in software systems represent significant risks as potential entry points for malicious attacks. Traditional dashboards that display the results of static analysis security testing often use 2D or 3D visualizations,…

Human-Computer Interaction · Computer Science 2025-04-28 Dennis Wüppelman , Enes Yigitbas

This study introduces the Community Sentiment and Engagement Index (CSEI), developed to capture nuanced public sentiment and engagement variations on social media, particularly in response to major events related to COVID-19. Constructed…

Social and Information Networks · Computer Science 2024-12-24 Nirmalya Thakur , Kesha A. Patel , Audrey Poon , Shuqi Cui , Nazif Azizi , Rishika Shah , Riyan Shah

Volunteered geographic information (VGI), one of the most important types of user-generated web content, has been emerging as a new phenomenon. VGI is contributed by numerous volunteers and supported by web 2.0 technologies. This chapter…

Adaptation and Self-Organizing Systems · Physics 2020-11-09 Bin Jiang

Unmanaged hazards in dangerous construction environments proved to be one of the main sources of injuries and accidents. Hazard recognition is crucial to achieve effective safety management and reduce injuries and fatalities in hazardous…

Human-Computer Interaction · Computer Science 2020-03-24 Mojtaba Noghabaei , Kevin Han

Earthquake-induced secondary ground failure hazards, such as liquefaction and landslides, result in catastrophic building and infrastructure damage as well as human fatalities. To facilitate emergency responses and mitigate losses, the U.S.…

Computational Engineering, Finance, and Science · Computer Science 2022-04-19 Susu Xu , Joshua Dimasaka , David J. Wald , Hae Young Noh