Titlebook: Emerging Trends in Intelligent Systems & Network Security; Mohamed Ben Ahmed,Boudhir Anouar Abdelhakim,Didi R Conference proceedings 2023

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A Dynamic Circular Hough Transform Based Iris Segmentation,ntation method based on an adaptive illumination correction and a modified circular Hough transform algorithm. Some morphological operations are used to create the illumination correction function, while the pupil localization process is used to detect the Hough circle radius range to obtain the iri

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,A Game Theoretic Framework for?Interpretable Student Performance Model,ations including predicting at-risk students and automating student enrollment. From these applications, it is clear that machine learning models have a major impact on students’ professional success, therefore, it is imperative that the student performance model is well understood and free of any b

GEON

A New Telecom Churn Prediction Model Based on Multi-layer Stacking Architecture,jor service providers around the world. For this reason, significant investments are increasingly devoted to the development of new anti-churn strategies. Machine Learning is among the new approaches used today in this area. In the proposed work, we constructed a multilayer Stacking Network, compose

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craven

A Proposed Big Data Architecture Using Data Lakes for Education Systems,ich makes knowledge extraction with traditional tools difficult for educational organizations. Indeed, the actual architecture of data warehouses do not possess the capability of storing and managing this huge amount of varied data. The same goes for analytical processes; which no longer satisfy bus

craven

A SVM Approach for Assessing Traffic Congestion State by Similarity Measures,jams, with the aim of detecting and predicting anomalies, is a perfect illustration. The use of support vector machines (SVM) has alleviated the problems of classification, detection and prediction of anomalies in several areas [., .]. In this paper, we propose an approach to assessing traffic jam c

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Analyze Symmetric and Asymmetric Encryption Techniques by Securing Facial Recognition System,ic and asymmetric encryption techniques were proposed for the image encryption process. To ensure the use of the most efficient techniques, thus, compare the results between two popular encryption algorithms. AES was chosen to represent the symmetric cipher and the RSA for asymmetric ciphers. High-r