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Development of scalable hybrid switching-based software-defined networking using reinforcement learning
Published 2024“…Our analysis of the simulation data suggests that the Q-learning-based reinforcement learning framework, sHRRL, enhances the performance of the hybrid switch when compared to the Open Flow switches. …”
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An efficient congestion control scheme for a lightweight constrained application protocol in the Internet of Things
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Numerical investigation into the effects of multiple bubbles in microchannel flow boiling
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Tττ-framework for the evaluation and improvement of phase behaviour description with the NRTL activity coefficient model
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Optimisation of biogas production from co-digestion of water hyacinth, municipal solid waste and cow dung
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Development of a platform for rational diagnostic design using a venom-antibody model
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Automatic control of commercial airliners in formation flight
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Intelligent elevator control based on adaptive learning and optimisation
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Multivariate statistical process evaluation and monitoring for complex chemical processes
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The separation of phenolic compounds from neutral oils and nitrogen bases
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Development of a magnetic intra-uterine manipulator
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Elucidating the Smurf1- and other E3 ligase-mediated ubiquitination of mycobacterial proteins
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The development of a hand-held, self-powering bio-sensing device for the early detection of mycobacterium tuberculosis
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State-based decision support for condition shifting of multimodal continuous processes
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Spectroscopy of atomic zinc inside a heat pipe: Towards resonance ionisation
Published 2019Get full text
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