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Titlebook: Enabling Machine Learning Applications in Data Science; Proceedings of Arab Aboul Ella Hassanien,Ashraf Darwish,Dabiah Ahmed A Conference

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Implementation of Hybrid Algorithm for the UAV Images Preprocessing Based on Embedded Heterogeneous rming operates through the use of new technologies, and the idea is to “produce more with less resources.” The adoption of analysis and decision-making technologies by farmers makes it possible to precisely determine the water, fertilizer, and phytosanitary product needs of crops, that is why it bec
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SLAM Algorithm: Overview and Evaluation in a Heterogeneous System. In the promising field of mobile robotics, localization and mapping have been a hot topic in recent years. In robotics field, we have a diversity of sensors used for simultaneous localization and mapping (SLAM) algorithm track its mission their different capabilities and their weak points push us
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On Optimizing the Visual Quality of HASM-Based Streaming—The Study the Sensitivity of Motion Estimature mapping. It is considered the fourth technique of modeling video when compared to optical flow, frame difference, and block matching. However, the HASM has not been used yet in large videos such as 4K and 8K video formats. In HASM, a distribution of nodes is assumed, then based on the contents o
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Rough Sets Crow Search Algorithm for Inverse Kinematics inverse kinematics with a meta-heuristic search, the forward model is used with a fitness function allowing to avoid inverse models singularities with classical computing methods. In this paper, RCSA is applied to the inverse kinematics problem of the industrial mechanical manipulator Kuka-Kr16-02.
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Machine Learning for Predicting Cancer Disease: Comparative Analysispt of data mining has been introduced. Although there exist numerous data mining techniques among them artificial neural network, support vector machine, and K-nearest neighbor are all considered the most powerful and superior techniques that are able to provide accurate results without needing a la
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