Mahmoud M. Saafan

Orcid: 0000-0002-9279-1537

According to our database1, Mahmoud M. Saafan authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Prostate cancer grading framework based on deep transfer learning and Aquila optimizer.
Neural Comput. Appl., May, 2024

Correction to: Utilizing social media and machine learning for personality and emotion recognition using PERS.
Neural Comput. Appl., April, 2024

An aseptic approach towards skin lesion localization and grading using deep learning and harris hawks optimization.
Multim. Tools Appl., 2024

2023
Utilizing social media and machine learning for personality and emotion recognition using PERS.
Neural Comput. Appl., November, 2023

Novel variants of grasshopper optimization algorithm to solve numerical problems and demand side management in smart grids.
Artif. Intell. Rev., October, 2023

Correction to: A vision-based deep learning approach for independent-users Arabic sign language interpretation.
Multim. Tools Appl., February, 2023

A vision-based deep learning approach for independent-users Arabic sign language interpretation.
Multim. Tools Appl., February, 2023

ECH3OA: An Enhanced Chimp-Harris Hawks Optimization Algorithm for copyright protection in Color Images using watermarking techniques.
Knowl. Based Syst., 2023

A comprehensive framework towards segmenting and classifying breast cancer patients using deep learning and Aquila optimizer.
J. Ambient Intell. Humaniz. Comput., 2023

2022
A multi-variate heart disease optimization and recognition framework.
Neural Comput. Appl., 2022

A complete framework for accurate recognition and prognosis of COVID-19 patients based on deep transfer learning and feature classification approach.
Artif. Intell. Rev., 2022

2021
IWOSSA: An improved whale optimization salp swarm algorithm for solving optimization problems.
Expert Syst. Appl., 2021

CovH2SD: A COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning.
Expert Syst. Appl., 2021

Automatic Exam Correction Framework (AECF) for the MCQs, Essays, and Equations Matching.
IEEE Access, 2021

2020
Applying hybrid genetic-PSO technique for tuning an adaptive PID controller used in a chemical process.
Soft Comput., 2020


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