The importance of sleep to a person's health and well-being cannot be overstated. Sleep monitoring and analysis control has been transformed by the combination of Internet of Things (IoT) technologies and wearable...
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There are various disorders in the human eye. Glaucoma is considered to be one of the most severe eye disorders. It develops with very less speed in the eye and damages all the optic nerves present inside the eyes. Th...
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Standard/non-standard (S-NS) plane classification is a key step for Nuchal Translucency measurement and early Down Syndrome assessment in fetus during pregnancy weeks 11–14. To classify S-NS planes, fetal intracrania...
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As the spine innovation of decentralized cryptocurrencies, blockchain has additionally proclaimed numerous applications in different fields, for example, resource allocation in cloud computing, Internet of Things (IoT...
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Reinforcement learning holds promise in enabling robotic tasks as it can learn optimal policies via trial and ***,the practical deployment of reinforcement learning usually requires human intervention to provide episo...
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Reinforcement learning holds promise in enabling robotic tasks as it can learn optimal policies via trial and ***,the practical deployment of reinforcement learning usually requires human intervention to provide episodic resets when a failure *** manual resets are generally unavailable in autonomous robots,we propose a reset-free reinforcement learning algorithm based on multi-state recovery and failure prevention to avoid failure-induced *** multi-state recovery provides robots with the capability of recovering from failures by self-correcting its behavior in the problematic state and,more importantly,deciding which previous state is the best to return to for efficient *** failure prevention reduces potential failures by predicting and excluding possible unsafe actions in specific *** simulations and real-world experiments are used to validate our algorithm with the results showing a significant reduction in the number of resets and failures during the learning.
In the field of geospatial data analysis, accurately measuring trajectory similarity is crucial for effective anomaly detection, impacting areas from urban planning to security surveillance. Traditional methods often ...
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In this paper, a new topology for an isolated DC-DC converter that can be used for electric vehicle applications is presented in a dual bridge structure, having just one switch, two capacitors, and an inductor each in...
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Pneumonia is a respiratory infection and has occurred in more than 450 million people every year, causing about 2.5 million deaths, especially among infants, the aged, and people with compromised immune systems. It in...
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In recent years, the edge computing paradigm enables the movement of processing units and storage nearer to the data available locations. The mechanism completes the computation in a short span of time in minimum band...
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A recommendation system plays a vital role in the social media world, and it is used in many applications which provide recommendations based on user preferences. A recommendation is nothing but a choice-making system...
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