A novel Nomogram model, integrating both logistic regression and na39;ve bayes methodologies, exhibits a promising capability in deciphering the molecular indicators of chronic kidney disease triggered by diabetes ...
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The economic sector includes agriculture as a major player. Around the world, the primary issue and hot topic is agriculture automation. As a result of the population boom, there is a huge increase in the need for bot...
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With the introduction of 5G networks, high-speed low-latency network connections became available for mobile and embedded devices without the limited range of WiFi networks. Although the source and the destination can...
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The automatic diagnosis of depression using deep learning has recently shown significant progress, and 3DCNN has been applied to assessing depression levels from videos. There are two problems to be encountered applyi...
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Global positioning systems can provide sufficient positioning accuracy for large scale robotic tasks in open environments. However, in underwater environments, these systems cannot be directly used, and measuring the ...
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ISBN:
(纸本)9781665479332
Global positioning systems can provide sufficient positioning accuracy for large scale robotic tasks in open environments. However, in underwater environments, these systems cannot be directly used, and measuring the position of underwater robots becomes more difficult. In this paper we first evaluate the performance of existing pose estimation techniques for an underwater robot equipped with commonly used sensors for underwater control and pose estimation, in a simulated environment. In our case these sensors are inertial measurement units, Doppler velocity log sensors, and ultra-short baseline sensors. Secondly, for situations in which underwater estimation suffers from drift, we investigate the benefit of intermittently correcting the position using a high-precision surface-based sensor, such as regular GPS or an assisting unmanned aerial vehicle that tracks the underwater robot from above using a camera.
Many industrial processes remain being executed manually due to the necessary dexterity to perform them and their complexity to be replicated and automated. In this paper, we present TRAINMAN-MAGOS, a fmger-tracking b...
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Many industrial processes remain being executed manually due to the necessary dexterity to perform them and their complexity to be replicated and automated. In this paper, we present TRAINMAN-MAGOS, a fmger-tracking based solution which uses a sensorized glove to gather hand movements, and translates them into a tangible set of instructions and trajectories to feed diverse combinations of robot and gripper models. TRAINMAN-MAGOS decreases the development time of robotic trajectories and gripping strategies in extreme dexterity implementations. The solution has been validated on automotive glass door assembly operations, introducing a new generation of technologies to impact in manufacturing productivity. (C) 2022 The Authors. Published by Elsevier B.V.
Sharenting happens when parents or relatives post photos of their children, usually minors, on social media. However, this has privacy-compromising and child-risking consequences, which may lead to cyber fraud. The pa...
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The aim of the presented research was to establish new regularities of change of electromagnetic radiation absorption coefficient values in frequency range 0.7-17.0 GHz of the materials based on powdered charcoal, imp...
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