Titlebook: Artificial Intelligence and Its Applications; Proceeding of the 2n Brahim Lejdel,Eliseo Clementini,Louai Alarabi Conference proceedings 202

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GPS/IMU in Direct Configuration Based on Extended Kalman Filter Controlled by Degree of Observabiliigher grade IMU at each (0.01 s) that was combined with DGPS data at each (1 s) in order to obtain the assumed true solution for the trajectory. The second one is real test data collected during land-vehicle trajectory. The implementation consists of three main algorithms that as well namely: Strapd

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,Deep Approach Based on User’s Profile Analysis for Capturing User’s Interests,ch CNN-PA and RNN-PA that relies on users’ personal information and textual content for detecting user’s interests and preferences. We experimented our approach using a large Facebook dataset, and show how the deep learning approaches perform significantly better than the classical algorithms such a

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,Multi Agent Systems Based CPPS – An Industry 4.0 Test Case,he behavior of the Multi-Agent systems with interaction with SIEMENS Programmable Logic Controllers via OPC UA Protocol, during a Software-In-the-Loop “SIL” Test on a 3D Model of the Platform running on a separate Computer. The test assesses the behavior of the components of a typical Cyber-Physical

MARS

,Ranking Social Media News Feeds: A Comparative Study of Personalized and Non-personalized Predictior users. Experimental results on . show that a single non-personalized model for all users is easy to manage and fine-tune, is less likely to overfit, and it addresses the problem of cold-start and inactive users. On the other hand, the personalized models we introduce allow personalized feature imp

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,Machine Learning Based Indoor Localization Using Wi-Fi and Smartphone in a Shopping Malls,ightforward solution to indoor positioning. Solutions based on Wi-Fi signal strength work in favor of the idea of controlling infrastructure costs. Our work attempts to explore other learning algorithms and make more robust trade-offs between accuracy and power. Our work also focuses on using classi

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A Comparative Study Between the Two Applications of the Neural Network and Space Vector PWM for Dir-phase machines included in industrial application, this is due to its positive features among them is its high reliability and reduce both losses and rotor torque ripple..This paper aims to apply both techniques of artificial intelligence represented by the neural network algorithm NNA and the Spac

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Interval Versus Histogram of Symbolic Representation Based One-Class Classifier for Offline Handwri-ISR and OC-HSR, respectively, applied to the offline signature verification. Usually, symbolic verification models are built straightforward from the feature space. The proposed work explores an alternative approach based on the use of feature-dissimilarities generated from Curvelet Transform (CT)