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 …
Surface concrete cracks detection and segmentation using transfer learning and multi-resolution image processing
Surface crack detection must be precise and efficient for the structural health monitoring
(SHM) of concrete structures. The traditional techniques of crack detection entail human …
(SHM) of concrete structures. The traditional techniques of crack detection entail human …
[HTML][HTML] Assessment of the level of road crash severity: comparison of intelligence studies
In measuring road safety, accident severity is a key concern. Crash severity prediction
models inform researchers about the severity of a crash based on a variety of criteria. To …
models inform researchers about the severity of a crash based on a variety of criteria. To …
Machine learning approaches for estimating interfacial tension between oil/gas and oil/water systems: a performance analysis
Interfacial tension (IFT) is a key physical property that affects various processes in the oil and
gas industry, such as enhanced oil recovery, multiphase flow, and emulsion stability …
gas industry, such as enhanced oil recovery, multiphase flow, and emulsion stability …
Optimized prediction models for faulting failure of Jointed Plain concrete pavement using the metaheuristic optimization algorithms
This study aims to predict faulting failure of jointed plain concrete pavement (JPCP) using
different variables. For this purpose, four feature selection methods were developed by …
different variables. For this purpose, four feature selection methods were developed by …
[HTML][HTML] Enhancing road safety with machine learning: Current advances and future directions in accident prediction using non-visual data
Road traffic accident (RTA) poses a significant road safety issue due to the increased
fatalities worldwide. To address it, various artificial intelligence solutions are developed to …
fatalities worldwide. To address it, various artificial intelligence solutions are developed to …
Developing deterministic and probabilistic prediction models to evaluate high-temperature performance of modified bitumens
M Ehsani, P Hajikarimi, M Esfandiar, M Rahi… - … and Building Materials, 2023 - Elsevier
This study aims to develop deterministic and probabilistic prediction models for the multiple
stress creep and recovery (MSCR) test. For this purpose, crumb rubber, polyphosphoric …
stress creep and recovery (MSCR) test. For this purpose, crumb rubber, polyphosphoric …
Data-Driven Approaches for Accident Analysis in Sociochemical Systems
Accident analysis is crucial for gaining a deep understanding of system malfunctions and
preventing catastrophic events, along with potential human, financial, and environmental …
preventing catastrophic events, along with potential human, financial, and environmental …
[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 …
Optimal waste load allocation in river systems based on a new multi-objective cuckoo optimization algorithm
S Haghdoost, MH Niksokhan, MG Zamani… - … Science and Pollution …, 2023 - Springer
Water pollution escalates with rising waste discharge in river systems, as the rivers' limited
pollution tolerance and constrained self-cleaning capacity compel the release of treated …
pollution tolerance and constrained self-cleaning capacity compel the release of treated …