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Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks
Deep learning offers a promising solution to improve spectrum access techniques by utilizing data-driven approaches to manage and share limited spectrum resources for emerging applications.
Optimization of Rocker-Bogie Mechanism using Heuristic Approaches
Computational efficiency and overall fitness are considered key valedictory parameters for assessing the related algorithms, emphasis is also given to variable input seeds to find the most suitable utility driven strategy.
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