computational thinking means thinking or solving problems like computer scientists. It refers to the thought processes needed to understand problems and formulate solutions, making it a crucial skill for success in to...
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This paper presents a gesture-based RockPaper-Scissors game that leverages computer vision and hand gesture recognition to enable intuitive human-computer interaction. Utilizing MediaPipe's pre-trained hand tracki...
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As wireless communication technology evolves, ef f icient resource allocation in Orthogonal Frequency Division Multiple Access (OFDMA) networks is becoming more important. This study looks at three resource allocation...
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Event relation extraction (ERE) is becoming increasingly important in the era of large language models. An extensive body of research has explored how performance can be further enhanced by the emergence of exciting t...
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By analyzing the current development process of human-computer collaboration (HRC) and combining the realistic development needs of complex collaborative environments, an experimental paradigm for detecting the abnorm...
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By analyzing the current development process of human-computer collaboration (HRC) and combining the realistic development needs of complex collaborative environments, an experimental paradigm for detecting the abnormalities of the HRC system is constructed by taking collaborative assembly of mobile phone panels as a case study. Brain-computer Interaction (BCI) technique is employed to assess the similarities and differences between normal and abnormal signals, thereby addressing the issue of the inability to predict and model abnormalities in the work of human-computer collaborative assembly (HRCA). The results demonstrate that smaller perceptual differences result in significant similarities and differences between major electroencephalogram (EEG) components, such as N1, N2 and P3. This suggests that the design of the paradigm and experiment is reasonable and feasible. This paper also discusses the next part of the work, which is to generate a mapping model of thinking and intention by extracting multi-dimensional data features, transforming the process of human behaviour - neural response - data features into abnormalities - intention model system task, which will provide an important idea for the systems and robots to better understand and perceive human beings.
Optimization is the need of the hour! In the ever-evolving world of informatics, algorithmic optimization, which employs strategies to reduce resource usage and improve efficiency or throughput, is important. This res...
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The pervasive integration of the Cognitive Internet of Things (CIoT) in advanced communication systems has significantly heightened security concerns due to inherent vulnerabilities that cyber attackers exploit. These...
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Grape farming is a globally significant agricultural practice, but grapevines frequently encounter viral, fungal, and bacterial infections that compromise crop quality and yield. Conventional disease detection methods...
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Cloud Computing (CC) offers a diverse range of services along with huge data storage across a network. CC has collaborated with varied emerging technologies like IoT because of its numerous advantages. Despite CC'...
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Fine-grained intent detection involves identifying a large number of classes with subtle variations. Recently, generating pseudo samples via large language models has attracted increasing attention to alleviate the da...
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