Výsledky vyhledávání - "Nabil El Akkad"

Akademický článek

Enhancing automated vehicle identification by integrating YOLO v8 and OCR techniques for high-precision license plate detection and recognition

Autor: Hanae Moussaoui, Nabil El Akkad, Mohamed Benslimane, Walid El-Shafai, Abdullah Baihan, Chaminda Hewage, Rajkumar Singh Rathore

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)

Abstract Vehicle identification systems are vital components that enable many aspects of contemporary life, such as safety, trade, transit, and law enforcement. They improve community and individual well-being by increasing vehicle management, securi

Externí odkaz: https://doaj.org/article/50f720b779ee4fbfbaaa4409e3a0e4f8

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Akademický článek

Efficient Braille Transformation for Secure Password Hashing

Autor: Hamza Touil, Nabil El Akkad, Khalid Satori, Naglaa F. Soliman, Walid El-Shafai

Publikováno v: IEEE Access, Vol 12, Pp 5212-5221 (2024)

In this work, we propose a novel approach to enhancing the security of passwords before storing them in databases. Our method utilizes Braille transformation to encrypt the password after generating the corresponding hash. The hash is divided into mu

Externí odkaz: https://doaj.org/article/3a2fc6e4380642fc87995739977085f4

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Akademický článek

An efficient 32-bit color image encryption technique using multiple chaotic maps and advanced ciphers

Autor: Mohammed Es-sabry, Nabil El Akkad, Lahbib Khrissi, Khalid Satori, Walid El-Shafai, Torki Altameem, Rajkumar Singh Rathore

Publikováno v: Egyptian Informatics Journal, Vol 25, Iss , Pp 100449- (2024)

In this study, we introduce a refined approach to encrypting 32-bit color images, leveraging the potential of four 1D chaotic maps – the Logistic map, Tent map, Chebyshev map, and Sine map. These chaotic maps intricately populate the four matrices

Externí odkaz: https://doaj.org/article/850a2dd31d0f45c9bd8ddbceb05ca642

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Akademický článek

A robust and consistent stack generalized ensemble-learning framework for image segmentation

Autor: Zahra Faska, Lahbib Khrissi, Khalid Haddouch, Nabil El Akkad

Publikováno v: Journal of Engineering and Applied Science, Vol 70, Iss 1, Pp 1-20 (2023)

Abstract In the present study, we aim to propose an effective and robust ensemble-learning approach with stacked generalization for image segmentation. Initially, the input images are processed for feature extraction and edge detection using the Gabo

Externí odkaz: https://doaj.org/article/fad3aacc36a44e9aadc3b0c5986d1ed4

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Akademický článek

Securing Images Using High Dimensional Chaotic Maps and DNA Encoding Techniques

Autor: Mohammed Es-Sabry, Nabil El Akkad, Mostafa Merras, Khalid Satori, Walid El-Shafai, Torki Altameem, Mostafa M. Fouda

Publikováno v: IEEE Access, Vol 11, Pp 100856-100878 (2023)

With the growing need for secure multimedia data transmission, image encryption has become an important research area. Traditional encryption algorithms like RSA are not well-suited for this purpose, leading researchers to explore new approaches such

Externí odkaz: https://doaj.org/article/a5d49eca045b41f091f85e50f7a7e704

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Akademický článek

A new color image encryption algorithm using multiple chaotic maps with the intersecting planes method

Autor: Mohammed Es-Sabry, Nabil El Akkad, Mostafa Merras, Abderrahim Saaidi, Khalid Satori

Publikováno v: Scientific African, Vol 16, Iss , Pp e01217- (2022)

This paper proposes a new and efficient color image encryption algorithm based on multiple chaotic maps (Logistic map, Sine map, and Chebyshev map) and the intersecting planes method inside a cube. All maps were used to fill the three adjacent faces

Externí odkaz: https://doaj.org/article/a5dba1a9d4db440fa0160058990fef79

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i-2NIDS Novel Intelligent Intrusion Detection Approach for a Strong Network Security

Autor: Sabrine Ennaji, Nabil El Akkad, Khalid Haddouch

Publikováno v: International Journal of Information Security and Privacy. 17:1-17

The potential of machine learning mechanisms played a key role in improving the intrusion detection task. However, other factors such as quality of data, overfitting, imbalanced problems, etc. may greatly affect the performance of an intelligent intr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3da2f5ac39bcff473844aee727b69a43
https://doi.org/10.4018/ijisp.317113

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A Performant Clustering Approach Based on An Improved Sine Cosine Algorithm

Autor: Lahbib Khrissi, Nabil El Akkad, Hassan Satori, Khalid Satori

Publikováno v: International Journal of Computing. :159-168

Image segmentation is a fundamental and important step in many computer vision applications. One of the most widely used image segmentation techniques is clustering. It is a process of segmenting the intensities of a non-homogeneous image into homoge

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5b35517cdc49d57861c77d42a8c2e4ee
https://doi.org/10.47839/ijc.21.2.2584

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