Titlebook: Engineering Applications of AI and Swarm Intelligence; Xin-She Yang Book 2025 The Editor(s) (if applicable) and The Author(s), under exclu

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Supplement

General Theory in the Interior of the Domaintions, computer vision, audio, image, radar, and sonar signal processing, cryptography, time series prediction, robotics, and soil moisture prediction, to name a few. CvNN’s have proven their superiority over real-valued neural networks (RvNN’s) in handling situations where both amplitude and phase

collateral

Estimates of the Spectrum in the Interval on the association between the operators of the Big Bang-Big Crunch (BB-BC) algorithm, two strategies to update the population size and a parameter for controlling the influence of particle positions and the best particle in the system. The proposed methodology is applied to three classical enginee

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Standard Theory in Dimensions 2 and 3in computer vision, the Internet of Things (IoT), and security systems. This problem, correlated with the art gallery problem, represents a fundamental computational geometry challenge. The paper focuses on identifying deterministic methods and applying swarm intelligence algorithms as practical app

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https://doi.org/10.1007/978-981-97-5979-8Algorithms; Artificial Intelligence; Optimization; Engineering Applications; Nature-Inspired Algorithms;

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