This research applies the use of a convolutional neural network (CNN) in speech recognition to control a wheelchair, with a focus on cerebral palsy patients. In the context of the mobility and independence of such pat...
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Melanoma, an aggressive form of skin cancer known for its rapid spread, poses a significant threat and is responsible for a substantial number of fatalities. The accurate classification of cancer stages is crucial for...
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To improve the analyzing efficiency for PMSM servo system considering the dynamic parameters of the insulated-gate bipolar transistor, in this work, a novel approach of an artificial intelligence computational framewo...
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Against the backdrop of limited transmission resources, high latency, and diverse transmission service types within mega LEO constellation space networks, this paper proposes a segment routing algorithm tailored for m...
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This research paper focuses on the application of Convolutional Neural Networks (CNNs) for the multi-class classification of kidney conditions, including Cyst, Normal, Stone, and Tumor. Chronic kidney diseases pose a ...
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With the large-scale development of electric vehicles, in response to the challenges faced by charging stations, scattered power sources, and insufficient maintenance capabilities, the first step is to analyze multipl...
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In the face of multiple global crises such as climate change, a transformation towards sustainable development is more urgent than ever. Digitalization, as a fundamental change in society and the economy, offers great...
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The proliferation of Internet of Things (IoT) devices has introduced significant security challenges due to the increased attack surface and the inherent vulnerabilities of interconnected systems. This paper proposes ...
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Against the background of the current large-scale construction of electric power infrastructure, the safety of transmission and substation engineering has become the focus of industry attention. In order to overcome t...
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This paper proposes an algorithm that dynamically and adaptively adjusts the rendering shading rate based on pre-rendered low-resolution images. We first pre-render the current frame at low resolution using full shadi...
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