Empirical ground-motion models (GMMs) and associated correlations for cumulative absolute velocity, Arias intensity, and significant durations calibrated on Iranian …
M Davatgari-Tafreshi, SS Bora - Bulletin of Earthquake Engineering, 2023 - Springer
This study presents empirical ground-motion models (GMMs) for estimating Arias intensity
(IA), cumulative absolute velocity (CAV) and significant ground-motion duration (D5–75 and …
(IA), cumulative absolute velocity (CAV) and significant ground-motion duration (D5–75 and …
Physics-informed neural networks in groundwater flow modeling: Advantages and future directions
In recent years, there has been enormous development in soft computing, especially
artificial intelligence (AI), which has developed robust methods for solving complex …
artificial intelligence (AI), which has developed robust methods for solving complex …
Evaluation of hydrological variabilities of water quality models considering event-based scenarios: A case study
Given the significant momentum of developing water quality models to simulate water quality
variables and support decision-making, the literature recognizes the importance of …
variables and support decision-making, the literature recognizes the importance of …
Application of Metaheuristic Algorithms in Ground Motion Selection and Scaling for Time History Analysis of Structures
In this study, we utilize two metaheuristic algorithms, particle swarm optimization, and
biogeography-based optimization, to select and scale ground motion (GM) records for use in …
biogeography-based optimization, to select and scale ground motion (GM) records for use in …
Salp Swarm Algorithm for Optimization of Shallow Foundations
In this study, two types of shallow foundations, the isolated and combined footing, are
optimized to minimize the construction cost using the Salp Swarm Algorithm (SSA) and the …
optimized to minimize the construction cost using the Salp Swarm Algorithm (SSA) and the …
Modeling of daily groundwater level using deep learning neural networks
MM Othman - Turkish Journal of Engineering, 2023 - dergipark.org.tr
Groundwater is an essential water source, becoming more vital due to shortages in
available surface water resources. Hence, monitoring groundwater levels can show the …
available surface water resources. Hence, monitoring groundwater levels can show the …
[PDF][PDF] Genetic Algorithm for Determining Optimal Unit Hydrograph for Harpeth River Watershed, Tennessee
TJ Chy - Computational Research Progress in Applied Science …, 2023 - researchgate.net
The unit hydrograph for a watershed plays a significant role in predicting the flood
hydrographs of any duration precipitation event, which can be used to calculate the peak …
hydrographs of any duration precipitation event, which can be used to calculate the peak …
Optimization Strategies for Analyzing Piano Learners' Practice Time and Frequency Using Data Mining Algorithms
Y Lin - 2023 International Conference on Intelligent …, 2023 - ieeexplore.ieee.org
How to choose the best number of exercises reasonably is the key to improve the learning
efficiency in piano learning, but how to effectively optimize the practice of students is still an …
efficiency in piano learning, but how to effectively optimize the practice of students is still an …