Pre-trained Language Model facilitates contextual relation classification by capturing contextual information, addressing word ambiguity, encoding global sentence context, enabling transfer learning, handling out-of-v...
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Wireless Sensor Networks (WSNs) are indispensable for providing crucial sensing and data collection services to IoT systems. The diversity of IoT applications leads to data heterogeneity, which has become a prevalent ...
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Skin illnesses, such as vitiligo, provide considerable hurdles in proper diagnosis due to their resemblance to other conditions, necessitating time-consuming examinations by medical personnel. Taking advantage of adva...
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The rapid advancement of deep learning technologies has transformed various sectors, enabling sophisticated applications across industries. However, training deep learning models is an energy-intensive process, leadin...
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There are many time series data in our daily life and accurate prediction of these data can bring great convenience to our life. In this study, a hybrid prediction model based on dilated causal convolution, focused li...
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This research offers an in-depth analysis of the integration of Autonomous Vehicle Platooning, Vehicle-to-Everything (V2X) communication, Edge Analytics, and Real-time Traffic Management. Central to the study is '...
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Leukemia is a type of blood and bone marrow cancer that continues to pose a major challenge in the field of healthcare. This is predominantly caused by the wide range of leukemia subtypes and the complexity of the cla...
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The study's primary goal is to prevent unauthorized people and systems from accessing protected resources in a way that goes beyond their permissions. It aims to provide an overview of authentication and access co...
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Opinion analysis using social media data has become essential for corporations, politics, and social research because it provides insightful information about the public's attitudes toward various issues. In the r...
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Sentiment analysis of customer reviews is crucial for understanding consumer feedback and improving business strategies in the e-commerce sector. This study proposes an enhanced deep learning framework for sentiment a...
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