M. Jamei

发表

Nanofluids thermal conductivity prediction applying a novel hybrid data-driven model validated using Monte Carlo-based sensitivity analysis

I. Ahmadianfar, A. Naseri, M. Jamei, 2020, Engineering with Computers.

Prediction of surface water total dissolved solids using hybridized wavelet-multigene genetic programming: New approach

Z. Yaseen, I. Ahmadianfar, M. Jamei, 2020 .

A rigorous model for prediction of viscosity of oil-based hybrid nanofluids

I. Ahmadianfar, M. Jamei, 2020 .

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 .

Predicting all-cause risk of 30-day hospital readmission using artificial neural networks

Mehdi Jamei, Everett Wetchler, Aleksandr Nisnevich, 2017, PloS one.

A novel Hybrid Wavelet-Locally Weighted Linear Regression (W-LWLR) Model for Electrical Conductivity (EC) Prediction in Surface Water.

Iman Ahmadianfar, Mehdi Jamei, Xuefeng Chu, 2020, Journal of contaminant hydrology.

Accurate prediction of thermal conductivity of ethylene glycol-based hybrid nanofluids using artificial intelligence techniques

I. Ahmadianfar, A. Noghrehabadi, M. Jamei, 2020, International Communications in Heat and Mass Transfer.

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.

Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models

M. Hasanipanah, M. Jamei, K. Khedher, 2022, Earth Science Informatics.

Assessment of thermal conductivity of polyethylene glycol-carbon dot nanofluid through a combined experimental-data mining investigation

A. Shahsavar, M. Jamei, S. Azizian, 2022, Journal of Materials Research and Technology.

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

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

Electronic Properties of Low-Dimensional Materials Under Periodic Potential

M. Jamei, M. Jamei, 2015 .

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.

Prediction of nanofluids viscosity using random forest (RF) approach

I. Ahmadianfar, M. Jamei, Rashid Pourrajab, 2020 .

Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time-Varying Filtered Empirical Mode Decomposition Approach

Z. Yaseen, R. Prasad, M. Jamei, 2022, Water Resources 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.

Forecasting Daily Flood Water Level Using Hybrid Advanced Machine Learning Based Time-Varying Filtered Empirical Mode Decomposition Approach

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

A Hybridized Crouziex-Raviart Nonconforming Finite Element and Discontinuous Galerkin Method for a Two-Phase Flow in the Porous Media

M. Jamei, H. Ghafouri, 2020, Journal of Computational Methods In Engineering.

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.

Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models

M. Hasanipanah, M. Jamei, H. Ouaer, 2022, Earth Science Informatics.

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..

An efficient discontinuous Galerkin method for two-phase flow modeling by conservative velocity projection

M. Jamei, H. Ghafouri, 2016 .

Correction: Predicting all-cause risk of 30-day hospital readmission using artificial neural networks

Aleksandr Nisnevich, M. Jamei, Everett Wetchler, 2018, PloS one.

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..

Nanofluids thermal conductivity prediction applying a novel hybrid data-driven model validated using Monte Carlo-based sensitivity analysis

I. Ahmadianfar, A. Naseri, M. Jamei, 2020, Engineering with Computers.

A Lax–Wendroff-IMPES scheme for a two-phase flow in porous media using interior penalty discontinuous Galerkin method

I. Ahmadianfar, M. Jamei, A. Raeisi Isa Abadi, 2019, Numerical Heat Transfer, Part B: Fundamentals.

Applying GRACE satellite data and hydro-meteorological parameters for predicting the combined terrestrial evapotranspiration index (CTEI) based on an improved SVM and a greedy regression approach

Jaydeo K. Dharpure, Harun I. Gitari, I. Ahmadianfar, 2021 .

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.

Prediction of local scour around circular piles under waves using a novel artificial intelligence approach

I. Ahmadianfar, M. Jamei, X. Chu, 2019, Marine Georesources & Geotechnology.

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 .

Experimental study on the thermal properties of Al2O3‐CuO/water hybrid nanofluids: Development of an artificial intelligence model

M. Jamei, Z. Said, P. Kanti, 2022, International Journal of Energy Research.

Narrowband noise study of sliding charge density waves in NbSe3 nanoribbons

A. Zettl, M. Jamei, S. Onishi, 2017 .

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 .

Experimental investigation on thermal conductivity of fly ash nanofluid and fly ash-Cu hybrid nanofluid: prediction and optimization via ANN and MGGP model

M. Jamei, Z. Said, K. M. Yashawantha, 2021, Particulate Science and Technology.

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..

Mutating fuzzy logic model with various rigorous meta-heuristic algorithms for soil moisture content estimation

Z. Yaseen, J. Shiri, M. Jamei, 2021, Agricultural Water Management.

A novel discontinuous Galerkin model for two-phase flow in porous media using an improved IMPES method

Mehdi Jamei, Hamid R. Ghafouri, M. Jamei, 2016 .

A meticulous intelligent approach to predict thermal conductivity ratio of hybrid nanofluids for heat transfer applications

I. Ahmadianfar, M. Jamei, M. Behbahani, 2020, Journal of Thermal Analysis and Calorimetry.

Adaptive slime mould algorithm for optimal design of photovoltaic models

Ali Asghar Heidari, Huiling Chen, I. Ahmadianfar, 2022, Energy Science & Engineering.

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.

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.

Thermal performance of hybrid fly ash and copper nanofluid in various mixture ratios: Experimental investigation and application of a modern ensemble machine learning approach

M. Jamei, P. Kanti, K. V. Sharma, 2021, International Communications in Heat and Mass Transfer.

Turbulent forced convective flow in a conical diffuser: Hybrid and single nanofluids

M. Jamei, M. Arıcı, Z. Haddad, 2023, Engineering Analysis with Boundary Elements.

Two-phase mixture numerical and soft computing-based simulation of forced convection of biologically prepared water-silver nanofluid inside a double-pipe heat exchanger with converging sinusoidal wall: Hydrothermal performance and entropy generation analysis

A. Shahsavar, M. Jamei, I. B. Askari, 2022, Engineering Analysis with Boundary Elements.

Properties of water-based fly ash-copper hybrid nanofluid for solar energy applications: Optimization of the experimental data using RBF model

M. Jamei, Z. Said, K. M. Yashawantha, 2022, Solar Energy Materials and Solar Cells.

Thermophysical properties of water, water and ethylene glycol mixture-based nanodiamond+Fe3O4 hybrid nanofluids: An experimental assessment and application of data-driven approaches

A. Allouhi, M. Jamei, Z. Said, 2021, Journal of Molecular Liquids.

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.

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.

Groundwater level prediction using machine learning models: A comprehensive review

N. Al‐Ansari, Shamsuddin Shahid, M. Jamei, 2022, Neurocomputing.

Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region

Hossam Faris, Zaher Mundher Yaseen, Neeraj Dhanraj Bokde, 2021, IEEE Access.

A novel solution for simulating air overpressure resulting from blasting using an efficient cascaded forward neural network

Mahdi Hasanipanah, Jie Zeng, Mehdi Jamei, 2021, 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.

Sunshine duration measurements and predictions in Saharan Algeria region: an improved ensemble learning approach

Muhammed A. Hassan, N. Bailek, N. Al‐Ansari, 2021, Theoretical and Applied Climatology.

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 .

Optimizing operating rules for multi-reservoir hydropower generation systems: An adaptive hybrid differential evolution algorithm

Bahram Gharabaghi, Iman Ahmadianfar, Ali Kheyrandish, 2020 .

A Sequentially- Hybridized Locally Conservative Non-conforming Finite Element Scheme for Two-phase Flow Simulation through Heterogeneous Porous Media

M. Jamei, M. Mosharaf-Dehkordi, H. Ghafouri, 2022, Advances in Water Resources.

A discontinuous Galerkin method for two-phase flow in porous media using modified MLP slope limiter

M. Jamei, H. Ghafouri, 2016 .

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..

Visible photoluminescence from a nanocrystalline porous silicon structure fabricated by a plasma hydrogenation and annealing method

M. Jamei, S. Mohajerzadeh, Y. Abdi, 2007 .

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.

Ensemble robust local mean decomposition integrated with random forest for short-term significant wave height forecasting

Z. Yaseen, R. Prasad, M. Jamei, 2023, Renewable Energy.

Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation

Z. Yaseen, A. Farooque, M. Jamei, 2023, Renewable & Sustainable Energy Reviews.

Data-Driven Models for Predicting Solar Radiation in Semi-Arid Regions

N. Bailek, M. Jamei, J. Almorox, 2022, Computers, Materials & Continua.

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.

Impact of Increasing Pumping Discharge on Groundwater Level in the Nile Delta Aquifer, Egypt

M. Jamei, K. Ahmed, A. Armanuos, 2021, Knowledge-Based Engineering and Sciences.

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.

Estimation of triangular side orifice discharge coefficient under a free flow condition using data-driven models

Zaher Mundher Yaseen, Iman Ahmadianfar, Mehdi Jamei, 2020 .

Prediction of scour depth at piers with debris accumulation effects using linear genetic programming

Iman Ahmadianfar, Mehdi Jamei, I. Ahmadianfar, 2020, Marine Georesources & Geotechnology.

Deposition and Microbial Analyses from Roof-Top Sediments Within Different Sanitation Environments

Manish Pandey, M. Jamei, R. Moruzzi, 2023, Topics in Catalysis.

Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions

Daniel S. Helman, F. Tangang, I. Ahmadianfar, 2024, Eng. Appl. Artif. Intell..

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.

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.

Discharge coefficient prediction of canal radial gate using neurocomputing models: an investigation of free and submerged flow scenarios

Z. Yaseen, A. Farooque, I. Ahmadianfar, 2021, Engineering Applications of Computational Fluid Mechanics.

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.

Hybrid machine learning system based on multivariate data decomposition and feature selection for improved multitemporal evapotranspiration forecasting

S. M. Bateni, M. Jamei, H. Ghafouri, 2024, Eng. Appl. Artif. Intell..

Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks

R. Deo, R. Prasad, A. Farooque, 2023, Renewable Energy.

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.