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Titlebook: Computational Intelligence, Data Analytics and Applications; Selected papers from Fausto Pedro García Márquez,Akhtar Jamil,Alaa Ali Confer

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https://doi.org/10.1007/978-3-658-42696-5aset is used to create the reinforcement learning environment to train and evaluate the proposed model. The experimental results show that our proposed reinforcement learning approach outperforms other related solutions in the literature, achieving an accuracy that exceeds 93%.
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Priority-Based Pollution Management ITS,thm for road vehicles where priorities will be assigned both statically and dynamically following certain criteria. The results of our routing algorithm will be benchmarked against the most commonly used shortest-path routing algorithm, where we will be able to evaluate the impact of our algorithm o
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,Medical Image Transmission Using a Secure Cryptographic Approach for IoMT Applications,lightweight encryption algorithm first separates the image into multiple clusters and then employs cluster-based permutations. Other procedures like diffusion and modulation could be used after that. The suggested technique is studied, analysed, and compared to generally encrypted ones in terms of i
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Assessment of Grey Wolf Optimizer and Its Variants on Benchmark Functions,augmented GWO (AGWO) methods are examined, and the performances of these methods are discussed in CEC’20 functions and analyzed statistically. The results of the studies demonstrated that IGWO outperformed standard GWO and AGWO.
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Reliability of MEMS Accelerometers Embedded in Smart Mobile Devices for Robotics Applications,atiometricity analysis, which is important in applications that require long-term data collection, but is generally overlooked, was also performed through collecting continuous acceleration data for twelve hours. Ratiometric error was numerically quantified and completely subtracted from the raw dat
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