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Quantum behaved particle swarm optimization for data clustering with multiple objectives.

, , , и . SoCPaR, стр. 215-220. IEEE, (2014)

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Seham Al-Abed H Al-Azreg

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Moath H A al- Mekhlafi

H -H Kaatz

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Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm., , и . ICONIP (3), том 7665 из Lecture Notes in Computer Science, стр. 456-464. Springer, (2012)Convolutional Neural Network-Based Automatic Classification of Colorectal and Prostate Tumor Biopsies Using Multispectral Imagery: System Development Study., , , , , и . CoRR, (2023)Arabic Fake News Detection: Comparative Study of Neural Networks and Transformer-Based Approaches., , , , и . Complex., (2021)Quantum behaved particle swarm optimization for data clustering with multiple objectives., , , и . SoCPaR, стр. 215-220. IEEE, (2014)Rejuvenation of the IT Program at King Saud University: A Change Reflecting Local and Global IT Trends., , , , и . SIGITE, стр. 129-134. ACM, (2018)On extending quantum behaved particle swarm optimization to multiobjective context., , и . IEEE Congress on Evolutionary Computation, стр. 1-8. IEEE, (2012)A Streamlined Continuous Improvement Process Based on Learning Analytics: Insights from the IT Program at King Saud University., , и . ICTA, стр. 1-5. IEEE, (2019)A quantum behaved particle swarm approach to multi-objective optimization.. University of Birmingham, UK, (2015)British Library, EThOS.Leveraging the Power of Deep Learning Technique for Creating an Intelligent, Context-Aware, and Adaptive M-Learning Model., , , и . Complex., (2021)Augmented Analytics Driven by AI: A Digital Transformation beyond Business Intelligence., и . Sensors, 22 (20): 8071 (2022)