In this paper, an multi-channel acquisition device suitable for domestic Intelligent Programmable Logic Controller (IPLC) is developed. The GD32F407RE of GigaDevice is used as MCU control system and the AD chip SGM520...
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This research presents the development of a portable arm rehabilitation device designed to continuously monitor and enhance rehabilitation activities. The device incorporates flex sensors, force-sensitive resistors, a...
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The advancement of Digital Twin (DT) technology has enabled the creation of digital replicas of physical entitics, significantly enhancing the functionality and performance of mobile networks. However, this innovative...
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Continuous biological surveillance requires less mechanical aid and affordable wearable technology and sensors. The health industry benefits greatly from the rapid development and expansion of the Internet of Things (...
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Sign language is a vital communication medium enabling individuals with speech and hearing impairments to convey thoughts, feelings, and ideas effectively. However, the limited understanding of sign language, outside ...
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We introduce FarExStance, a new dataset for explainable stance detection in Farsi. Each instance in this dataset contains a claim, the stance of an article or social media post towards that claim, and an extractive ex...
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In this paper, an English teaching system based on remote network and embedded software is proposed. The purpose is to further improve the intelligence of English electronic education. This paper presents a design met...
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This research proposes a novel strategy for the field of tele-orthopedics by incorporating a K-Nearest Neighbors (KNN) algorithm into a Raspberry Pi-based remote joint monitoring system. The KNN model can provide accu...
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The Model-View-Controller (MVC) design pattern is widely used in software engineering for developing user interfaces. While MVC offers many benefits, handling data in a way that is efficient and effective can be a cha...
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Pipeline parallelism is essential for edge computing as it effectively consolidates the limited resources of edge devices, enabling the deployment of large Deep Neural Network (DNN) models and accelerating inference p...
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