Large language models (LLMs) achieve advanced capabilities in natural language processing (NLP) through pre-training on massive data, suggesting that LLMs have great potential to enhance human language learning. In se...
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Biometric authentication is critical for secure access in diverse domains, emphasizing the need for high accuracy to prevent security breaches. Multimodal biometrics fuse traits to fortify security, vital across diver...
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In the era of big data, efficiently processing and retrieving insights from unstructured data presents a critical challenge. This paper introduces a scalable leader-worker distributed data pipeline designed to handle ...
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Diabetic retinopathy, a prevalent eye disorder and a complication of diabetes, poses a risk of vision loss. Signs of diabetic retinopathy including subtle or entirely absent and eventual blindness are a possible outco...
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In this article, we have proposed an automated dialogue-based resolution of IT tickets. The main challenge for this study is that no direct conversational IT ticketing dataset is available. We have used the AirDialogu...
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Due to the rapid growth of user interaction on different social media platforms, publicly available social media data has increased substantially. The sheer amount of data and level of personal information being share...
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In response to the challenges once posed by the COVID-19 pandemic, this paper presents a comprehensive solution that integrates advanced techniques to enhance the detection of infections remotely, using sensors on a w...
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Emotion recognition from facial expressions stands as a pivotal challenge in computer vision and human-computer interaction. In this study, we explore the area and base our research on the robust FER2013 dataset. Our ...
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In this work, we present milliGait, a user identification using gait patterns captured by millimeter wave (mmWave) radar technology. milliGait takes into account the unique movement signatures of individuals to enable...
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As a key task in natural language processing, the current knowledge extraction methods mostly involve joint extraction, simultaneously extracting named entities and relationships. When conducting relationship extracti...
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