mahmoud, doaa

doaamahmoud@edu.asu.edu.eg
Department of Physics - Education
Internal ID: rp06242
  • 6 Scopus Citations
  • 3 PubMed Citations
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Full Name
mahmoud, doaa
 
Affiliation (Department)
 
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Email
doaamahmoud@edu.asu.edu.eg
 
ORCID
 

Publications

Results 1-9 of 9 (Search time: 0.0 seconds).

Issue DateTitleAuthor(s)
14-Aug-2024Computational intelligent techniques for predicting optical behavior of different materialsD.M.Habashy ; El-Dahshan, El-sayed; M.Y.El-Bakry; M.M. El-Nahass; Mohamed, R. A.
225-Mar-2024Investigation of optical properties of molybdenum trioxide (MoO3) thin films using neural networksD.M.Habashy ; El-Dahshan, El-sayed; M.Y.El-Bakry; M.M. El- Nahass; Mohamed, R. A.
33-Jun-2023Performance analysis of adaptive neuro-fuzzy inference-based relying on modeling electric modulus feature of 3-formylchromoneD.M.Habashy 
43-May-2023Modeling and experimental investigation of indentation creep behavior of hypoeutectic Sn-Bi and Sn-Bi- Sb2O3 alloys using genetic programming approachmahmoud, doaa ; H.I.LEBDA 
5May-2023Artificial Intelligence Approaches for Studying the pp Interactions at High Energy Using Adaptive Neuro-Fuzzy Interface SystemD.M.Habashy ; H.I.LEBDA 
627-May-2022Rapidity distribution within Landau hydrodynamical model and EPOS event-generator at AGS, SPS, and RHIC energiesD.M.Habashy 
717-May-2022Entropy per Rapidity in Pb-Pb Central Collisions using Thermal and Artificial Neural Network (ANN) Models at LHC EnergiesD.M.Habashy 
815-Jan-2022Particles multiplicity based on rapidity in Landau and arti cial neural network (ANN) modelsD.M.Habashy 
92020The electrical impedance, AC conductivity and dielectric properties of phenol red compound investigated and modeled by an artificial neural networkAli, Hend ; mahmoud, doaa