A model for green-resilient supplier selection: fuzzy best–worst multi-criteria decision-making method and its applications
Supplier selection is regarded as the primary goal of supply chain management (SCM)
because it affects its performance, productivity, pleasure, flexibility, and system speed in …
because it affects its performance, productivity, pleasure, flexibility, and system speed in …
Machine learning for predicting concrete carbonation depth: A comparative analysis and a novel feature selection
The accurate prediction of concrete carbonation depth is essential to prevent concrete from
cracking and corrosion. However, identifying the critical parameters affecting carbonation …
cracking and corrosion. However, identifying the critical parameters affecting carbonation …
[HTML][HTML] Introducing mathematical modeling to estimate pavement quality index of flexible pavements based on genetic algorithm and artificial neural networks
S Hanandeh - Case Studies in Construction Materials, 2022 - Elsevier
This study explored the outcomes of utilizing genetic algorithms and artificial neural
networks to assess the pavement quality index on the principal road by analyzing 500 …
networks to assess the pavement quality index on the principal road by analyzing 500 …
Pavement raveling inspection using a new image texture-based feature set and artificial intelligence
Enhancing pavement distress inspection is crucial within a pavement management system.
Recognizing the advantages of automated pavement condition inspection, considerable …
Recognizing the advantages of automated pavement condition inspection, considerable …
Application of hybrid model-based deep learning and swarm‐based optimizers for flood susceptibility prediction in Binh Dinh province, Vietnam
Flooding is a serious natural hazard. It causes considerable impact on human life, the
environment, and property, worldwide. Building a highly accurate flood susceptibility map …
environment, and property, worldwide. Building a highly accurate flood susceptibility map …
Image-based severity analysis of Asphalt pavement bleeding using a metaheuristic-boosted fuzzy classifier
Pavement management systems play a vital role in maintaining transportation infrastructures
by evaluating pavement distress to perform maintenance tasks efficiently. Severity analysis …
by evaluating pavement distress to perform maintenance tasks efficiently. Severity analysis …
[HTML][HTML] Sustainable crumb rubber modified asphalt mixtures based on low-temperature crack propagation characteristics using the response surface methodology
Fracture regime of asphalt concrete is of utmost importance in the sustainable design of
optimized mixtures against low-temperature cracking. The energy dissipated in blunting the …
optimized mixtures against low-temperature cracking. The energy dissipated in blunting the …
Improving path loss prediction using environmental feature extraction from satellite images: Hand-crafted vs. convolutional neural network
There is an increased exploration of the potential of wireless communication networks in the
automation of daily human tasks via the Internet of Things. Such implementations are only …
automation of daily human tasks via the Internet of Things. Such implementations are only …
Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features
Water quality indicators (WQIs), such as chlorophyll-a (Chl-a) and dissolved oxygen (DO),
are crucial for understanding and assessing the health of aquatic ecosystems. Precise …
are crucial for understanding and assessing the health of aquatic ecosystems. Precise …
Artificial neural networks for flexible pavement
Transportation agencies are primarily responsible for building new roads and maintaining
current roads. The main focuses of these agencies are to prioritize maintenance and make …
current roads. The main focuses of these agencies are to prioritize maintenance and make …