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nahool
Egypt

Activities

Education and qualifications (2)

South Valley University Faculty of Science: Qena, EG

M.Sc (Physics Department)
Education
Source: Self-asserted source
tarek nahool

Aswan University: Sahary City, EG

2017-10-20 to 2021-09-29 | PH.D (Physics)
Education
Source: Self-asserted source
tarek nahool

Works (15)

Assessment of compressive strength of eco-concrete reinforced using machine learning tools

Scientific Reports
2025 | Journal article
Contributors: Bentegri, Houcine; Rabehi, Mohamed; Kherfane, Samir; Nahool, Tarek Abdo; Rabehi, Abdelaziz; Guermoui, Mawloud; Alhussan, Amel Ali; Khafaga, Doaa Sami; Eid, Marwa M.; El-Kenawy, El-Sayed M.
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Predicting plant distribution on the River Nile islands in Egypt using machine learning algorithms

International Journal of Environmental Science and Technology
2025-03-02 | Journal article
Contributors: T. A. Nahool; F. A. A. Ayed; D. A. Ahmed; M. G. Sheded
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Machine Learning-Driven Models for Disease Activity Prediction and Therapeutic Response Evaluation in Rheumatoid Arthritis Patients: An Analysis of Data from the Multicentre, Prospective, Egyptian Collage of Rheumatology (ECR) Study Group

Arthritis & Rheumatology
2024 | Journal article
Contributors: Hammam, Nevin; Nahool, Tarek; Yasser, A. M.; Mohamed, Eman F.; Tharwat, Samar; Mosa, Doaa Mosad; Nassr, Maha; Ismail, Faten; El Shereef, Rawhya R.; Elsaid, Nora Y. et al.
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Using machine learning to predict gamma shielding properties: a comparative study

New Journal of Physics
2024-09-01 | Journal article
Contributors: T A Nahool; A M Abdelmonem; M S Ali; A M Yasser
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Comparison between some machine learning algorithms on predicting the spectra of quark-anti-quark bound states

International Journal of Modern Physics A
2023 | Journal article
Contributors: Nahool, T. A.; Ismail, Atef; Elshamndy, Samah K. K.; Yasser, A. M.
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Utilization of the random forest method for studying some heavy mesons spectra via machine learning technique

International Journal of Modern Physics A
2022 | Journal article
Contributors: Nahool, T. A.; Anwar, M.; Yahya, G. A.; Yasser, A. M.
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Utilization of the Random Forest Method for Studying some Heavy Mesons Spectra via Machine Learning Technique

International Journal of Modern Physics A
2022 | Preprint
Contributors: tarek nahool
Source: Self-asserted source
tarek nahool

A new machine learning approach for predicting the spectra of meson bound states

International Journal of Modern Physics E
2020 | Journal article
Contributors: Yasser, A. M.; Nahool, T. A.; Anwar, M.; Bowerman, C.; Yahya, G. A.
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CHARMONIUM PROPERTIES

East European Journal of Physics
2020 | Journal article
Contributors: Nahool, Tarek A.; Yasser, A. M.; Anwar, Muhammad; Yahya, Gamal A.
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A New Gate to NUMEROV'S Method

Open Access Journal of Physics
2018 | Journal article
Source: Self-asserted source
tarek nahool

A new Method to Study Bottomonium

LAP Lambert Academic Publishing ( 2015-02-03 )
2015 | Book
Source: Self-asserted source
tarek nahool

Numerical Study of Heavy Meson’s Spectra Using the Matrix Numerov’s Method

International Journal of New Horizons in Physics
2015 | Journal article
Source: Self-asserted source
tarek nahool

Theoretical calculations for predicted states of heavy quarkonium via non-relativistic frame work

Electronic Journal of Theoretical Physics
2015 | Journal article
EID:

2-s2.0-84921502119

Part of ISBN:

17295254

Contributors: Nahool, T.A.; Yasser, A.M.; Hassan, G.S.
Source: Self-asserted source
tarek nahool via Scopus - Elsevier

A Study of Some Properties of Bottomonium

Journal of Modern Physics
2014 | Journal article
Part of ISSN: 2153-1196
Part of ISSN: 2153-120X
Source: Self-asserted source
tarek nahool

Theoretical Calculations for Predicted States of Heavy Quarkonium via Non-Relativistic Frame Work

ArXiv
2014 | Journal article
Contributors: M. Yasser, A.; A. Nahool, T.; S. Hassan, G.
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Peer review (2 reviews for 1 publication/grant)

Review activity for Physica scripta. (2)