A survey of visual transformers
Transformer, an attention-based encoder–decoder model, has already revolutionized the
field of natural language processing (NLP). Inspired by such significant achievements, some …
field of natural language processing (NLP). Inspired by such significant achievements, some …
A systematic review: To increase transportation infrastructure resilience to flooding events
G Watson, JE Ahn - Applied Sciences, 2022 - mdpi.com
This study investigated literature databases of Google Scholar and Scopus from 1900 to
2021 and reviewed relevant studies conducted to increase transportation infrastructure …
2021 and reviewed relevant studies conducted to increase transportation infrastructure …
Virtual testbeds for community resilience analysis: State-of-the-art review, consensus study, and recommendations
S Amin Enderami, RK Mazumder, M Dumler… - Natural Hazards …, 2022 - ascelibrary.org
As the quantitative hazard research, particularly stemming from the engineering fields, aims
to move from component-and building-level modeling into the interdisciplinary space of …
to move from component-and building-level modeling into the interdisciplinary space of …
Deepcovidnet: An interpretable deep learning model for predictive surveillance of covid-19 using heterogeneous features and their interactions
In this paper, we propose a deep learning model to forecast the range of increase in COVID-
19 infected cases in future days and we present a novel method to compute …
19 infected cases in future days and we present a novel method to compute …
Assessing the effectiveness of nature-based solutions-strengthened urban planning mechanisms in forming flood-resilient cities
Cities have experienced rapid urbanization-induced harsh climatic events, especially
flooding, inevitably resulting in negative and irreversible consequences for urban resilience …
flooding, inevitably resulting in negative and irreversible consequences for urban resilience …
Modest flooding can trigger catastrophic road network collapse due to compound failure
Compound failures occur when urban flooding coincides with traffic congestion, and their
impact on network connectivity is poorly understood. Firstly, either three-dimensional road …
impact on network connectivity is poorly understood. Firstly, either three-dimensional road …
Local impacts on road networks and access to critical locations during extreme floods
Floods affected more than 2 billion people worldwide from 1998 to 2017 and their
occurrence is expected to increase due to climate warming, population growth and rapid …
occurrence is expected to increase due to climate warming, population growth and rapid …
Equality of access and resilience in urban population-facility networks
While conceptual definitions have provided a foundation for measuring inequality of access
and resilience in urban facilities, the challenge for researchers and practitioners alike has …
and resilience in urban facilities, the challenge for researchers and practitioners alike has …
Smart flood resilience: harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness
Smart resilience is the beneficial result of the collision course of the fields of data science
and urban resilience to flooding. The objective of this study is to propose and demonstrate a …
and urban resilience to flooding. The objective of this study is to propose and demonstrate a …
A spatial–temporal graph deep learning model for urban flood nowcasting leveraging heterogeneous community features
H Farahmand, Y Xu, A Mostafavi - Scientific Reports, 2023 - nature.com
Flood nowcasting refers to near-future prediction of flood status as an extreme weather
event unfolds to enhance situational awareness. The objective of this study was to adopt …
event unfolds to enhance situational awareness. The objective of this study was to adopt …