M. Karbasi

发表

Application of Gaussian Process Regression Model to Predict Discharge Coefficient of Gated Piano Key Weir

F. Salmasi, M. Akbari, H. Arvanaghi, 2019, Water Resources Management.

Experimental exploration rheological behavior of polyethylene glycol-carbon dot nanofluid: Introducing a robust artificial intelligence paradigm optimized with Unscented Kalman filter technique

A. Shahsavar, M. Jamei, S. Azizian, 2022, Journal of Molecular Liquids.

On the assessment of specific heat capacity of nanofluids for solar energy applications: Application of Gaussian process regression (GPR) approach

I. Ahmadianfar, M. Jamei, M. Karbasi, 2020 .

Long-term multi-step ahead forecasting of root zone soil moisture in different climates: Novel ensemble-based complementary data-intelligent paradigms

O. Kisi, Z. Yaseen, M. Jamei, 2022, Agricultural Water Management.

A parametric assessing and intelligent forecasting of the energy and exergy performances of a dish concentrating photovoltaic/thermal collector considering six different nanofluids and applying two meticulous soft computing paradigms

A. Shahsavar, F. Calise, M. Jamei, 2022, Renewable Energy.

Forecasting Daily Global Solar Radiation in Hot Semi-Arid Climate Using a Novel Hybrid Machine Learning Paradigm

I. Ahmadianfar, Alireza Heidari, M. Jamei, 2021 .

Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, India

Parveen Sihag, M. Jamei, Y. Tikhamarine, 2022, Environmental Science and Pollution Research.

Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh

Z. Yaseen, L. Abualigah, M. Jamei, 2022, Scientific Reports.

Developing hybrid data-intelligent method using Boruta-random forest optimizer for simulation of nitrate distribution pattern

M. Jamei, Saman Maroufpoor, Anurag Malik, 2022, Agricultural Water Management.

Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection

Z. Yaseen, R. Prasad, M. Jamei, 2022, Agricultural Water Management.

Air quality monitoring based on chemical and meteorological drivers: Application of a novel data filtering-based hybridized deep learning model

Z. Yaseen, M. Jamei, Ekta Sharma, 2022, Journal of Cleaner Production.

Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach

Z. Yaseen, I. Ahmadianfar, M. Jamei, 2022, Applied Energy.

Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, India

Parveen Sihag, M. Jamei, Y. Tikhamarine, 2022, Environmental Science and Pollution Research.

Predicting Rock Brittleness Using a Robust Evolutionary Programming Paradigm and Regression-Based Feature Selection Model

I. Ahmadianfar, M. Hasanipanah, M. Jamei, 2022, Applied Sciences.

Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer

Z. Yaseen, M. Jamei, Mumtaz Ali, 2022, Comput. Electron. Agric..

Development of wavelet-based Kalman Online Sequential Extreme Learning Machine optimized with Boruta-Random Forest for drought index forecasting

O. Kisi, Z. Yaseen, I. Ahmadianfar, 2023, Eng. Appl. Artif. Intell..

Development of a novel soft-computing framework for the simulation aims: a case study

Wei Gao, A. Derakhsh, M. Karbasi, 2018, Engineering with Computers.

Developing a novel hybrid Auto Encoder Decoder Bidirectional Gated Recurrent Unit model enhanced with empirical wavelet transform and Boruta-Catboost to forecast significant wave height

Z. Yaseen, M. Jamei, Mumtaz Ali, 2022, Journal of Cleaner Production.

Experimental and computational assessment of wetting pattern for two-layered soil profiles in pulse drip irrigation: Designing a novel optimized Bidirectional deep learning paradigm

M. Jamei, Mumtaz Ali, M. Karbasi, 2022, Journal of Hydrology.

Development of a TVF-EMD-based multi-decomposition technique integrated with encoder-decoder-bidirectional-LSTM for monthly rainfall forecasting

M. Jamei, Mumtaz Ali, Anurag Malik, 2023, Journal of Hydrology.

Earth skin temperature long-term prediction using novel extended Kalman filter integrated with Artificial Intelligence models and information gain feature selection

Z. Yaseen, M. Jamei, K. Khedher, 2022, Sustain. Comput. Informatics Syst..

Simulation of seepage flow through embankment dam by using a novel extended Kalman filter based neural network paradigm: Case study of Fontaine Gazelles Dam, Algeria

Anurag Malik, Mehdi Jamei, Masoud Karbasi, 2021 .

Specific heat capacity of molten salt-based nanofluids in solar thermal applications: A paradigm of two modern ensemble machine learning methods

I. Ahmadianfar, M. Jamei, M. Karbasi, 2021 .

On the specific heat capacity estimation of metal oxide-based nanofluid for energy perspective – A comprehensive assessment of data analysis techniques

I. Ahmadianfar, M. Jamei, Z. Said, 2021 .

A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups

Ahmad Sharafati, Bahram Gharabaghi, Iman Ahmadianfar, 2021, Engineering with Computers.

On the Thermal Conductivity Assessment of Oil-Based Hybrid Nanofluids using Extended Kalman Filter integrated with feed-forward neural network

Amin Asadi, Iman Ahmadianfar, Mehdi Jamei, 2021 .

The effects of hydrogen addition on the stability limits of methane jet diffusion flames

M. Karbasi, 1998 .

Prediction and Validation of Blowout Limits of Co-Flowing Jet Diffusion Flames—Effect of Dilution

M. Karbasi, I. Wierzba, 1998 .

Experimental evaluation and development of predictive models for rheological behavior of aqueous Fe3O4 ferrofluid in the presence of an external magnetic field by introducing a novel grid optimization based-Kernel ridge regression supported by sensitivity analysis

A. Shahsavar, M. Jamei, M. Karbasi, 2021 .

A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture

Z. Yaseen, M. Jamei, Ekta Sharma, 2023, Eng. Appl. Artif. Intell..

Experimental investigation of synthesized Al2O3 Ionanofluid's energy storage properties: Model-prediction using gene expression programming

Z. Said, M. Karbasi, P. Kanti, 2022, Journal of Energy Storage.

Estimating the density of hybrid nanofluids for thermal energy application: Application of non-parametric and evolutionary polynomial regression data-intelligent techniques

L. Abualigah, M. Jamei, Z. Said, 2021, Measurement.

GEP to predict characteristics of a hydraulic jump over a rough bed

H. Md. Azamathulla, Masoud Karbasi, H. Azamathulla, 2016 .

Application of a modern multi-level ensemble approach for the estimation of critical shear stress in cohesive sediment mixture

Manish Pandey, M. Jamei, Anurag Malik, 2022, Journal of Hydrology.

Toward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigms

I. Ahmadianfar, M. Jamei, M. Karbasi, 2021, Scientific Reports.

Estimating daily global solar radiation in hot semi-arid climate using an efficient hybrid intelligent system

Ali Asghar Heidari, I. Ahmadianfar, M. Jamei, 2022, The European Physical Journal Plus.

Application of Gaussian process regression to forecast multi-step ahead SPEI drought index

Hazi Mohammad Azamathulla, Masoud Karbasi, Porya Ghasemi, 2021 .

Developing GPR model for forecasting the rock fragmentation in surface mines

Wei Gao, Jia Guo, Mahdi Hasanipanah, 2018, Engineering with Computers.

Surface water electrical conductivity and bicarbonate ion determination using a smart hybridization of optimal Boruta package with Elman recurrent neural network

Z. Yaseen, M. Jamei, Mumtaz Ali, 2023, Process Safety and Environmental Protection.

Prediction of flyrock induced by mine blasting using a novel kernel-based extreme learning machine

Mahdi Hasanipanah, Iman Ahmadianfar, Mehdi Jamei, 2021, Journal of Rock Mechanics and Geotechnical Engineering.

Experimental Investigation of Flow Structure of Passing Solitary Wave over A Rectangular Obstacle using PIV Techniques

M. Karbasi, Reza Zaghian, 2018 .

Development of a novel soft-computing framework for the simulation aims: a case study

Wei Gao, Ahmad Jalili, Masoud Karbasi, 2018, Engineering with Computers.

The entropy generation analysis of the influence of using fins with tip clearance on the thermal management of the batteries with phase change material: Application a new gradient-based ensemble machine learning approach

A. Shahsavar, M. Afrand, M. Jamei, 2022, Engineering Analysis with Boundary Elements.

Prediction of Maximum Scour Depth near Spur Dikes in Uniform Bed Sediment Using Stacked Generalization Ensemble Tree-Based Frameworks

Manish Pandey, I. Ahmadianfar, M. Jamei, 2021 .

Combined Terrestrial Evapotranspiration Index prediction using a hybrid artificial intelligence paradigm integrated with relief algorithm-based feature selection

M. Jamei, Saman Maroufpoor, A. Elbeltagi, 2022, Comput. Electron. Agric..

Multi-steps drought forecasting in arid and humid climate environments: Development of integrative machine learning model

O. Kisi, Z. Yaseen, M. Jamei, 2023, Agricultural Water Management.

Assessment of scouring around submerged spur dike in cohesive sediment mixtures: A comparative study on three rigorous machine learning models

Manish Pandey, I. Ahmadianfar, M. Jamei, 2021, Journal of Hydrology.

A Comprehensive Experimental and Computational Investigation on Estimation of Scour Depth at Bridge Abutment: Emerging Ensemble Intelligent Systems

Manish Pandey, M. Jamei, Anurag Malik, 2023, Water Resources Management.

A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm

Z. Yaseen, M. Jamei, Mumtaz Ali, 2023, Expert Syst. Appl..

Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach

Z. Yaseen, A. Farooque, M. Jamei, 2023, Eng. Appl. Artif. Intell..

Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting

Z. Yaseen, A. Farooque, M. Jamei, 2023, Ecological Indicators.

Development of a new wavelet-based hybrid model to forecast multi-scalar SPEI drought index (case study: Zanjan city, Iran)

M. Jamei, H. Azamathulla, Anurag Malik, 2021, Theoretical and Applied Climatology.

The assessment of emerging data-intelligence technologies for modeling Mg+2 and SO4-2 surface water quality.

Z. Yaseen, A. Farooque, I. Ahmadianfar, 2021, Journal of environmental management.

Prediction of scour caused by 2D horizontal jets using soft computing techniques

H. Md. Azamathulla, Masoud Karbasi, H. Azamathulla, 2017 .

Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR

Z. Yaseen, A. Farooque, M. Jamei, 2023, Expert Syst. Appl..

Experimental study and gradient-based ensemble intelligent computing to investigate effect of ultrasound on rheological behavior of bio-based phase change materials

M. Jamei, M. Karbasi, Aidin Shaham, 2023, Journal of Energy Storage.

GEP to predict characteristics of a hydraulic jump over a rough bed

M. Karbasi, H. Azamathulla, 2016, KSCE Journal of Civil Engineering.

Boruta extra tree-bidirectional long short-term memory model development for Pan evaporation forecasting: Investigation of arid climate condition

Z. Yaseen, M. Jamei, Mumtaz Ali, 2024, Alexandria Engineering Journal.

Multi-step ahead hourly forecasting of air quality indices in Australia: Application of an optimal time varying decomposition-based ensemble deep learning algorithm

Z. Yaseen, A. Farooque, M. Jamei, 2023, Atmospheric Pollution Research.

Effects of bed-load movement on flow resistance over bed forms

M. Omid, M. Karbasi, J. Farhoudi, 2010 .

A comprehensive investigation of wetting distribution pattern on sloping lands under drip irrigation: A new gradient boosting multi-filtering-based deep learning approach

M. Jamei, E. Maroufpoor, Mumtaz Ali, 2023, Journal of Hydrology.

Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm

A. Farooque, M. Jamei, M. Karbasi, 2024, Scientific reports.

New achievements on daily reference evapotranspiration forecasting: Potential assessment of multivariate signal decomposition schemes

R. Prasad, M. Jamei, Mumtaz Ali, 2023, Ecological Indicators.

Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference evapotranspiration

Z. Yaseen, A. Farooque, M. Jamei, 2023, Agricultural Water Management.