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[HTML][HTML] Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature
Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the
use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban …
use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban …
[HTML][HTML] The sustainability of artificial intelligence: An urbanistic viewpoint from the lens of smart and sustainable cities
The popularity and application of artificial intelligence (AI) are increasing rapidly all around
the world—where, in simple terms, AI is a technology which mimics the behaviors commonly …
the world—where, in simple terms, AI is a technology which mimics the behaviors commonly …
[HTML][HTML] Artificial intelligence technologies and related urban planning and development concepts: How are they perceived and utilized in Australia?
Artificial intelligence (AI) is a powerful technology with an increasing popularity and
applications in areas ranging from marketing to banking and finance, from agriculture to …
applications in areas ranging from marketing to banking and finance, from agriculture to …
[HTML][HTML] Regional flood frequency analysis: A bibliometric overview
In water resources management, environmental and ecological studies, estimation of design
streamflow is often needed. For gauged catchments, at-site flood frequency analysis is used …
streamflow is often needed. For gauged catchments, at-site flood frequency analysis is used …
[HTML][HTML] Searching for homogeneous regions in regional flood frequency analysis for Southeast Australia
Abstract Study region Southeast Australia Study focus This study examines identification of
homogeneous regions for regional flood frequency analysis (RFFA) using 201 gauged …
homogeneous regions for regional flood frequency analysis (RFFA) using 201 gauged …
A comparison of particle swarm optimization and genetic algorithm for daily rainfall-runoff modelling: a case study for Southeast Queensland, Australia
Real-time and short-term prediction of river flow is essential for efficient flood management.
To obtain accurate flow predictions, a reliable rainfall-runoff model must be used. This study …
To obtain accurate flow predictions, a reliable rainfall-runoff model must be used. This study …
Impact assessment of rainfall-runoff simulations on the flow duration curve of the Upper Indus River—A comparison of data-driven and hydrologic models
As a major component of the hydrologic cycle, rainfall runoff plays a key role in water
resources management and sustainable development. Conceptual models of the rainfall …
resources management and sustainable development. Conceptual models of the rainfall …
Regional flood frequency analysis using data-driven models (M5, random forest, and ANFIS) and a multivariate regression method in ungauged catchments
Flooding is recognized worldwide joined of the most expensive natural hazards. To adopt
proper structural and nonstructural measurements for controlling and mitigating the rising …
proper structural and nonstructural measurements for controlling and mitigating the rising …
Explicit data-driven models for prediction of pressure fluctuations occur during turbulent flows on slo** channels
Pressure fluctuations are among the favorite topics for hydraulic engineers due to their
critical role in the design and safe operation of hydraulic structures. In this study, three …
critical role in the design and safe operation of hydraulic structures. In this study, three …
Development of regional flood frequency analysis techniques using generalized additive models for Australia
Estimation of flood quantiles in ungauged catchments is a common problem in hydrology.
For this, the log-linear regression model is widely adopted. However, in many cases, a …
For this, the log-linear regression model is widely adopted. However, in many cases, a …