Titlebook: Business Intelligence; 8th International Co Rachid El Ayachi,Mohamed Fakir,Mohamed Baslam Conference proceedings 2023 The Editor(s) (if app

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Deep Learning Models for Cybersecurity in IoT Networksapplications in several areas..However, ensuring security in IoT environments remains a critical challenge, primarily due to the various security threats that devices face. While several approaches have been proposed to secure IoT devices, there is always room for improvement. One promising avenue i

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Diabetes Prediction by Machine Learning Algorithms and Risks Factorsnd care. For predicting diabetes, this study aims to compare the performance of six algorithms which are artificial neural networks (ANNs), decision tree (DT), support vector machine (SVM), K-Nearest Neighbors (K-NN), Naive Bayes (NB) and Random Forests models using common risk factors. These models

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Ontology-Based Mediation with Quality Criteriadeals with providing a unified and transparent access to a collection of heterogeneous data sources. In information integration, the formulization of a global schema is a difficult task that manages multiple, autonomous and heterogeneous data sources. This paper presents a semantic system named . fo

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Computational Features and Applications of an Inhomogeneous Gompertz Diffusion Processhysics, chemistry, medical science, and mathematical finance. In this paper, We consider the Gompertz diffusion process based on stochastic inhomogeneous model. We begin by obtaining the analytical formulation for the process’s probabilistic properties, the mean functions (conditional and non-condit