Soufiane Hamida

Orcid: 0000-0003-0616-7787

According to our database1, Soufiane Hamida authored at least 14 papers between 2020 and 2024.

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

Timeline

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Bibliography

2024
Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique.
Multim. Tools Appl., March, 2024

An improved breast cancer disease prediction system using ML and PCA.
Multim. Tools Appl., March, 2024

An Integrated Multimodal Deep Learning Framework for Accurate Skin Disease Classification.
Int. J. Online Biomed. Eng., 2024

Toward Secure and Reliable IoT Systems: A Comprehensive Review of Formal Methods Applications.
IEEE Access, 2024

2023
Cursive Arabic handwritten word recognition system using majority voting and k-NN for feature descriptor selection.
Multim. Tools Appl., November, 2023

Handwritten computer science words vocabulary recognition using concatenated convolutional neural networks.
Multim. Tools Appl., June, 2023

Integrating GIS Data with Machine Learning Approaches for Improved Flood Hazard Prediction.
Proceedings of the 6th International Conference on Networking, 2023

Classifying Brain Tumors using Convolutional Neural Networks on MRI Scans.
Proceedings of the 6th International Conference on Networking, 2023

U-Net-based Artificial Intelligence for Accurate and Robust Brain Tumor Diagnosis using Magnetic Resonance Imaging.
Proceedings of the 6th International Conference on Networking, 2023

2020
Optimization of Machine Learning Algorithms Hyper-Parameters for Improving the Prediction of Patients Infected with COVID-19.
Proceedings of the 2nd IEEE International Conference on Electronics, 2020

Performance Evaluation of Transfer Learning Technique for Automatic Detection of Patients with COVID-19 on X-Ray Images.
Proceedings of the 2nd IEEE International Conference on Electronics, 2020

Prediction of Patients with Heart Disease using Artificial Neural Network and Adaptive Boosting techniques.
Proceedings of the 3rd International Conference on Advanced Communication Technologies and Networking, 2020

Classification of Patients with Breast Cancer using Neighbourhood Component Analysis and Supervised Machine Learning Techniques.
Proceedings of the 3rd International Conference on Advanced Communication Technologies and Networking, 2020

A Novel Feature Extraction System for Cursive Word Vocabulary Recognition using Local Features Descriptors and Gabor Filter.
Proceedings of the 3rd International Conference on Advanced Communication Technologies and Networking, 2020


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