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» Authors » Mehdi Jamei

Mehdi Jamei

Explore the profile of Mehdi Jamei including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 9
Citations 58
Followers 0
Related Specialties
Science
General Medicine
Toxicology
Top 10 Co-Authors
Masoud Karbasi
Zaher Mundher Yaseen
Iman Ahmadianfar
Mumtaz Ali
Aitazaz Ahsan Farooque
Aleksandr Nisnevich
Changhyun Jun
Eric Liu
Anurag Malik
Sayed M Bateni
Published In
Sci Rep
PLoS One
J Contam Hydrol
Environ Sci Pollut Res Int
J Environ Manage
Affiliations
Soon will be listed here.
Recent Articles
1.
A hybrid framework: singular value decomposition and kernel ridge regression optimized using mathematical-based fine-tuning for enhancing river water level forecasting
Ahmadianfar I, Farooque A, Ali M, Jamei M, Jamei M, Yaseen Z
Sci Rep . 2025 Mar; 15(1):7596. PMID: 40038331
The precise monitoring and timely alerting of river water levels represent critical measures aimed at safeguarding the well-being and assets of residents in river basins. Achieving this objective necessitates the...
2.
Publisher Correction: 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
Karbasi M, Ali M, Bateni S, Jun C, Jamei M, Farooque A, et al.
Sci Rep . 2024 Aug; 14(1):18517. PMID: 39122915
No abstract available.
3.
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
Karbasi M, Ali M, Bateni S, Jun C, Jamei M, Farooque A, et al.
Sci Rep . 2024 Jul; 14(1):15051. PMID: 38951605
Electrical conductivity (EC) is widely recognized as one of the most essential water quality metrics for predicting salinity and mineralization. In the current research, the EC of two Australian rivers...
4.
Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh
Jamei M, Karbasi M, Malik A, Abualigah L, Islam A, Yaseen Z
Sci Rep . 2022 Jul; 12(1):11165. PMID: 35778436
The rising salinity trend in the country's coastal groundwater has reached an alarming rate due to unplanned use of groundwater in agriculture and seawater seeping into the underground due to...
5.
Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, India
Malik A, Tikhamarine Y, Sihag P, Shahid S, Jamei M, Karbasi M
Environ Sci Pollut Res Int . 2022 May; 29(47):71270-71289. PMID: 35597830
Prediction of soil temperature (ST) at multiple depths is important for maintaining the physical, chemical, and biological activities in soil for various scientific aspects. The present study was conducted in...
6.
Toward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigms
Karbasi M, Jamei M, Ahmadianfar I, Asadi A
Sci Rep . 2021 Oct; 11(1):19784. PMID: 34611225
In the present study, two kernel-based data-intelligence paradigms, namely, Gaussian Process Regression (GPR) and Kernel Extreme Learning Machine (KELM) along with Generalized Regression Neural Network (GRNN) and Response Surface Methodology...
7.
The assessment of emerging data-intelligence technologies for modeling Mg and SO surface water quality
Jamei M, Ahmadianfar I, Karbasi M, Jawad A, Farooque A, Yaseen Z
J Environ Manage . 2021 Sep; 300:113774. PMID: 34560461
The concentration of soluble salts in surface water and rivers such as sodium, sulfate, chloride, magnesium ions, etc., plays an important role in the water salinity. Therefore, accurate determination of...
8.
A novel Hybrid Wavelet-Locally Weighted Linear Regression (W-LWLR) Model for Electrical Conductivity (EC) Prediction in Surface Water
Ahmadianfar I, Jamei M, Chu X
J Contam Hydrol . 2020 May; 232:103641. PMID: 32408076
Rivers are the most common and vital sources of water, which play a fundamental role in ecological systems and human life. Water quality assessment is a major element of managing...
9.
Correction: Predicting all-cause risk of 30-day hospital readmission using artificial neural networks
Jamei M, Nisnevich A, Wetchler E, Sudat S, Liu E, Upadhyaya K
PLoS One . 2018 May; 13(5):e0197793. PMID: 29772004
[This corrects the article DOI: 10.1371/journal.pone.0181173.].
10.
Predicting all-cause risk of 30-day hospital readmission using artificial neural networks
Jamei M, Nisnevich A, Wetchler E, Sudat S, Liu E
PLoS One . 2017 Jul; 12(7):e0181173. PMID: 28708848
Avoidable hospital readmissions not only contribute to the high costs of healthcare in the US, but also have an impact on the quality of care for patients. Large scale adoption...