Mohamed K. Nour

Orcid: 0000-0002-5768-5392

According to our database1, Mohamed K. Nour authored at least 15 papers between 2022 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Computational Linguistics Based Arabic Poem Classification and Dictarization Model.
Comput. Syst. Sci. Eng., 2024

Computer Aided Cervical Cancer Diagnosis Using Gazelle Optimization Algorithm With Deep Learning Model.
IEEE Access, 2024

2023
Exploiting an Elitist Barnacles Mating Optimizer implementation for substitution box optimization.
ICT Express, August, 2023

Peak-Average-Power Ratio Techniques for 5G Waveforms Using D-SLM and D-PTS.
Comput. Syst. Sci. Eng., 2023

Improved Metaheuristics with Deep Learning Enabled Movie Review Sentiment Analysis.
Comput. Syst. Sci. Eng., 2023

Spotted Hyena Optimizer with Deep Learning Driven Cybersecurity for Social Networks.
Comput. Syst. Sci. Eng., 2023

Differential Evolution with Arithmetic Optimization Algorithm Enabled Multi-Hop Routing Protocol.
Comput. Syst. Sci. Eng., 2023

Sailfish Optimization with Deep Learning Based Oral Cancer Classification Model.
Comput. Syst. Sci. Eng., 2023

Optimal Deep Hybrid Boltzmann Machine Based Arabic Corpus Classification Model.
Comput. Syst. Sci. Eng., 2023

Intelligent Deep Convolutional Neural Network Based Object Detection Model for Visually Challenged People.
Comput. Syst. Sci. Eng., 2023

Hybrid Metaheuristics Feature Selection with Stacked Deep Learning-Enabled Cyber-Attack Detection Model.
Comput. Syst. Sci. Eng., 2023

Automated Spam Review Detection Using Hybrid Deep Learning on Arabic Opinions.
Comput. Syst. Sci. Eng., 2023

Learning-Based Artificial Algae Algorithm with Optimal Machine Learning Enabled Malware Detection.
Comput. Syst. Sci. Eng., 2023

2022
Gunshots Localization and Classification Model Based on Wind Noise Sensitivity Analysis Using Extreme Learning Machine.
IEEE Access, 2022

Smart Cities-Based Improving Atmospheric Particulate Matters Prediction Using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques.
Appl. Artif. Intell., 2022


  Loading...