activity
20102025
most citedFlood Prediction Using Machine Learning Models: Literature Review

1.4k citations · 1.9k across the 15 of their papers we have counts for

collaborators
Showing 2022Show all

8 papers · 1 filter

stat.ME2022

A Bayesian Framework on Asymmetric Mixture of Factor Analyser

Hamid Reza Safaeyan, Karim Zare, Mohamad R. Mahmoudi +1

Mixture of factor analyzer (MFA) model is an efficient model for the analysis of high dimensional data through which the factor-analyzer technique based on the covariance matrices…

cs.DB2022

Performance Evaluation of Query Plan Recommendation with Apache Hadoop and Apache Spark

Elham Azhir, Mehdi Hosseinzadeh, Faheem Khan +1

Access plan recommendation is a query optimization approach that executes new queries using prior created query execution plans (QEPs). The query optimizer divides the query space…

cs.LG2022★ 1 cited

A Secure Healthcare 5.0 System Based on Blockchain Technology Entangled with Federated Learning Technique

Abdur Rehman, Sagheer Abbas, M. A. Khan +3

In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge scale…

physics.ao-ph2022

Application of Group Method of Data Handling and New Optimization Algorithms for Predicting Sediment Transport Rate under Vegetation Cover

Golnaz Mirzakhani, Elham Ghanbari-Adivi, Rohollah Fattahi +4

Planting vegetation is one of the practical solutions for reducing sediment transfer rates. Increasing vegetation cover decreases environmental pollution and sediment transport rat…

eess.SY2022★ 4 cited

Energy-Exergy Analysis and Optimal Design of a Hydrogen Turbofan Engine

Mohammadreza Sabzehali, Somayeh Davoodabadi Farahani, Amir Mosavi

In this study, the effect of inlet air cooling and fuel type on the performance parameters of thrust-specific fuel consumption (TSFC), thermal and exergetic efficiencies, entropy g…

stat.ME2022★ 4 cited

Cyclocopula Technique to Study the Relationship Between Two Cyclostationary Time Series with Fractional Brownian Motion Errors

Mohammadreza Mahmoudi, Amir Mosavi

Detection of the relationship between two time series is so important in environmental and hydrological studies. Several parametric and non-parametric approaches can be applied to…

cs.LG2022★ 1 cited

Comparative analysis of machine learning and numerical modeling for combined heat transfer in Polymethylmethacrylate

Mahsa Dehghan Manshadi, Nima Alafchi, Alireza Taat +2

This study compares different methods to predict the simultaneous effects of conductive and radiative heat transfer in a Polymethylmethacrylate (PMMA) sample. PMMA is a kind of pol…

cs.LG2022★ 1 cited

Integration of neural network and fuzzy logic decision making compared with bilayered neural network in the simulation of daily dew point temperature

Guodao Zhang, Shahab S. Band, Sina Ardabili +2

In this research, dew point temperature (DPT) is simulated using the data-driven approach. Adaptive Neuro-Fuzzy Inference System (ANFIS) is utilized as a data-driven technique to f…