Abstract: This letter proposes a sampled-data, measurement-robust, risk-aware control barrier function (RA-CBF) framework for stochastic systems with measurement uncertainty. In this framework, what ...
Abstract: Selecting optimal deep learning models is often a time-consuming process. To address this challenge, we propose a novel variant of the ant colony optimization (ACO) algorithm. This approach ...
Introduction: High-resolution plant imagery is vital for phenotyping, disease monitoring, and precision agriculture. However, image acquisition in real-world conditions is frequently limited by sensor ...
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