Current synthetic speech detection methods often overlook the emotional distinctions between synthetic and real speech. To comprehensively leverage emotional information and deep features to further enhance the accura...
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The adoption of contemporary techniques to boost agricultural output is unavoidable given worries about the growth of the world's population and the scarcity of food. Artificial neural networks (ANN) in particular...
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This review provides a close insight into recent and significant technological developments that have emerged in this ever-changing field of Space Based Solar Power, which has enormous potential to alter the global en...
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In the transportation system, the influence of haze is more significant, such as license plate recognition, real-time monitoring, etc. The visibility of both people and equipment is greatly affected in foggy weather, ...
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Emotion cause analysis has attracted increasing attention in recent years. However, the integration of multimodal information with emotion causes remains underexplored. Existing studies merely extract utterances from ...
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Surface defect detection technology is a vital component of the steel industry that has garnered significant attention from the academic community in recent times. While modern methods with deep learning-based object ...
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Over the Internet, an efficient approach and promising solution to retrieve significant information envisages the beginning of Question Answering Systems (QAS). Because of data sources availability, the deep learning ...
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In contrast to the single intelligent reflecting surface (S-IRS) systems, improved performance is attainable by employing double-IRS (D-IRS) in a wireless-communication system. Nevertheless, precise channel estimation...
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We introduce a novel BiMoeFormer based on the Transformer architecture for 3D human motion prediction. Previous approaches primarily focus on the relationships between body joints in human poses, while neglecting thei...
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Recent advancements in Vision-Language Pre-training (VLP) techniques have greatly improved performance in Scene Text Detection tasks by leveraging the rich visual and textual content in scene text images. We propose a...
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