Spasticity is a disabling condition that frequently occurs after neurological injuries such as stroke. Effective management of spasticity relies on the objective categorization for spasticity. However, there lacks a c...
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The aim of the project is to compare the performance of four different machine learning algorithms for breast cancer prediction such as decision tree, logistic regression, XG boost, and CAT boost. We used a dataset of...
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Arrhythmia refers to any abnormality in the heart's electrical activity that disrupts its regular rhythm. In the absence of prompt detection and treatment, arrhythmias can cause serious health complications. An Ar...
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The dynamics and nonlinearity of combined elastic rimless wheels(CERW) walking semi-passively along an inclined plane with bionic control is studied in this work. First, the dynamic model of CERW is established using ...
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The Lorentz force magnetic platform, as a new generation of high-precision turntable for magnetic levitation satellites, can meet the requirements of ultra-high attitude pointing accuracy and attitude stability for fu...
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With the development of computer technology, large-scale models have gradually evolved from early simple algorithms to today's complex deep neural networks with huge parameter scale and high computational complexi...
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In today's globalized market, efficient goods transportation plays a pivotal role in the success of businesses, especially for companies like Viva robotics, a virtual enterprise specializing in floor-sweeping robo...
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In the present work a deep learning model for the detection of diabetic retinopathy has been proposed using faster RCNN algorithm. To address the challenges in detecting abnormalities within the human eye suffering fr...
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In the galvanization process of strip steel, the removal of floating substances formed within the nose end of the furnace is crucial for improving product quality and production efficiency. Due to the complexity of th...
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China's current thermal comfort standards for the building environment are formulated according to international standards, which are not suitable for China's national conditions. Therefore, this study adopts ...
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