Generalization performance of support vector machines and neural networks in runoff modeling

M Behzad, K Asghari, M Eazi, M Palhang - Expert Systems with …, 2009 - Elsevier
Effective one-day lead runoff prediction is one of the significant aspects of successful water
resources management in arid region. For instance, reservoir and hydropower systems call …

Optimized scenario for rainfall forecasting using genetic algorithm coupled with artificial neural network

M Nasseri, K Asghari, MJ Abedini - Expert systems with applications, 2008 - Elsevier
Rainfall forecasting plays many important role in water resources studies such as river training
works and design of flood warning systems. Recent advancement in artificial intelligence …

Comparative study of SVMs and ANNs in aquifer water level prediction

M Behzad, K Asghari, EA Coppola Jr - Journal of Computing in Civil …, 2010 - ascelibrary.org
In this research, a data-driven modeling approach, support vector machines (SVMs), is
compared to artificial neural networks (ANNs) for predicting transient groundwater levels in a …

Predicting nitrate concentration and its spatial distribution in groundwater resources using support vector machines (SVMs) model

R Arabgol, M Sartaj, K Asghari - Environmental Modeling & Assessment, 2016 - Springer
In this paper, a support vector machine (SVM) model was developed to predict nitrate
concentration in groundwater of Arak plain, Iran. The model provided a tool for prediction of nitrate …

The impact of zinc on the molecular signaling pathways in the diabetes disease

K Asghari, Z Shargh, S Fatehfar, L Chodari… - Journal of Trace …, 2022 - Elsevier
Since there’s been an upsurge in people with diabetes or pre-diabetes conditions, many
studies have been conducted to evaluate approaches for reducing the complications of diabetes…

The effect of meteorological and hydrological drought on groundwater storage under climate change scenarios

S Kamali, K Asghari - Water Resources Management, 2023 - Springer
… and Keyvan Asghari both conceived the presented idea. Shima Kamali developed the theory
and performed the computations. Shima Kamali and Keyvan Asghari … and Keyvan Asghari

Reliability improved stochastic dynamic programming for reservoir operation optimization

M Saadat, K Asghari - Water Resources Management, 2017 - Springer
Stochastic Dynamic Programming (SDP) is widely used in reservoir operation problems.
Besides its advantages, a few drawbacks have leaded many studies to improve its structure. …

A numerical study of tuned liquid damper based on incompressible SPH method combined with TMD analogy

AH Kashani, AM Halabian, K Asghari - Journal of Fluids and Structures, 2018 - Elsevier
Tuned liquid dampers (TLDs) are economical dynamic vibration absorbers which are increasingly
being used for structural response control. Nevertheless, a thorough understanding of …

Cellular junction dynamics and Alzheimer's disease: a comprehensive review

K Asghari, Z Niknam, S Mohammadpour-Asl… - Molecular Biology …, 2024 - Springer
Alzheimer’s disease (AD) is a prevalent neurodegenerative disorder characterized by
progressive neuronal damage and cognitive decline. Recent studies have shed light on the …

Numerical modeling of flow field around the labyrinth side-weirs in the presence of guide vanes

A Abdollahi, A Kabiri-Samani, K Asghari… - ISH Journal of …, 2017 - Taylor & Francis
Side weirs are hydraulic structures that are used in irrigation and drainage channels, flood
control systems, and wastewater collection networks to divert the flow, isolate the …