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

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Machine Learning for Predicting Cancer Disease: Comparative Analysisn any other type of cancer. Although it is not the first cause of death in recent years, according to the National Cancer Institute. The reason to focus on breast cancer is that it is one of the most prevalent types of cancer and has increased awareness about it. Additionally, the K-nearest neighbor

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2524-7565 k targets high-quality scientific research papers with applications, including theory, practical, prototypes, new ideas, case studies and surveys which cover machine learning applications in data science... .978-981-33-6131-7978-981-33-6129-4Series ISSN 2524-7565 Series E-ISSN 2524-7573

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How Enterprise Software Is Different, to cover all the different path models proposed in the literature for mobile anchor nodes and show a comparative analysis between them to facilitate the choice between them for a specific application with its specified criteria.

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Extending UML for Agent-Based Systems,ter convergence rate when compared to particle swarm optimization and quantum particle swarm optimization IK solvers. Wilcoxon-based non-parametric statistical analysis also showed that the proposal is better than standard PSO, standard CSA, the firefly algorithm, and QPSO.

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https://doi.org/10.1007/4-431-28915-1a at the same time, using the same spreading factor (SF), and over the same channel. We focus throughout this work on three performance metrics: throughput, delay, and retransmission rate. Our numerical results show that the proposed technique significantly improves the LoRa network performance.

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Optimal Path Schemes of Mobile Anchor Nodes Aided Localization for Different Applications in IoT to cover all the different path models proposed in the literature for mobile anchor nodes and show a comparative analysis between them to facilitate the choice between them for a specific application with its specified criteria.

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Multi-objective Quantum Moth Flame Optimization for Clusteringhowed interesting results essentially for Iris, New thyroid, Wine, Liver Disorder, Sph_4_3, Sph_6_2, Long 1, Sizes 5, Twenty and Forty and was able to provide the exact number of clusters for all datasets.

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