Mining and modeling the direct and indirect causalities among factors affecting the Urban Heat Island severity using structural machine learned Bayesian networks
Urbanization, population growth, and climate change have several impacts on the
environment including the extreme increase in temperature in urban areas, which is also …
environment including the extreme increase in temperature in urban areas, which is also …
Discovering key factors and causalities impacting bridge pile resistance using Ensemble Bayesian networks: A bridge infrastructure asset management system
Bridges are one of the critical infrastructure systems and play a critical role in supporting the
economic development of nations. During the planning, design, and construction phases of …
economic development of nations. During the planning, design, and construction phases of …
Towards a Sustainable Urban Future: A Comprehensive Review of Urban Heat Island Research Technologies and Machine Learning Approaches
The urban heat island (UHI) is a crucial factor in developing sustainable cities and societies.
Appropriate data collection, analysis, and prediction are essential first steps in studying the …
Appropriate data collection, analysis, and prediction are essential first steps in studying the …
An IoT-enabled sensing device to quantify the reliability of shared economy systems using intelligent sensor fusion building technologies
The concept of smart sustainable cities—as a favorable response to different challenges
faced in urban areas—is rapidly gaining momentum and worldwide attention. This trend has …
faced in urban areas—is rapidly gaining momentum and worldwide attention. This trend has …
Modeling the impact of land use/land cover (LULC) factors on diurnal and nocturnal Urban Heat Island (UHI) intensities using spatial regression models
This paper models the impact of different land use/land cover (LULC) factors on diurnal and
nocturnal Urban Heat Island (UHI) intensities using spatial regression models. This research …
nocturnal Urban Heat Island (UHI) intensities using spatial regression models. This research …
Using data-driven feature engineering algorithms to determine the Most critical factors contributing to the urban Heat Island effect associated with global warming
Urban clusters are areas with high building and infrastructure concentration and limited
green and natural landscapes. Since buildings, bridges, roads, and other infrastructure …
green and natural landscapes. Since buildings, bridges, roads, and other infrastructure …
Prediction of the Lateral Pressure of Self-Consolidating Concrete on Construction Formwork Systems Using Machine-Learning Algorithms
Construction firms face considerable challenges in relation to finding cost-effective formwork
solutions to meet increased construction demands. Project stakeholders have relied on self …
solutions to meet increased construction demands. Project stakeholders have relied on self …
Assessing the Vulnerability of Communities to Heat Waves: Developing a Heat Vulnerability Index
The construction of projects and buildings in urban areas leads to major transformation in
the urban surfaces, where natural, pervious surfaces are transformed into rough …
the urban surfaces, where natural, pervious surfaces are transformed into rough …
State-of-The-Art Machine Learning Models for Geospatial Analysis: A Systematic Review of Urban and Environmental Studies
A Shaamala, T Yigitcanlar, A Nili… - Available at SSRN … - papers.ssrn.com
The application of machine learning (ML) algorithms in the field of geospatial analysis has
witnessed a significant upsurge, particularly during the last five years. This is linked to …
witnessed a significant upsurge, particularly during the last five years. This is linked to …