Image manipulation threatens data integrity and public trust, making reliable authenticity tools essential. The development of a publicly evaluatable perceptual hash framework enables various applications, including p...
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This study introduces a novel FLOPs-Aware Knowledge Distillation (FAKD) framework tailored for TinyML applications in agriculture. By integrating Floating Point Operations (FLOPs) as a regularization term into the dis...
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With the enhancement of Large Language Models (LLMs) performance, the demand for reliable methods to distinguish AI-generated text from human-written content is steadily growing. This study presents a novel detection ...
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With the growth of large-scale text datasets from reviews, social media, and other online sources, sentiment analysis is essential for understanding public opinion. Traditional models struggle to understand complicate...
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In the past many years, counterfeit currency has been proliferating on a large scale in India, which is not just increasing black money but also destroying the value and reputation of Indian currency in the global mar...
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This paper presents a method for extracting and interpreting information from diverse, unstructured dental literature using advanced AI techniques. By integrating information extraction, ontologies, and knowledge grap...
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In this study, the convergence of gait recognition and fingerprint identification was explored using heat map integration. Gait recognition, a biometric method that relies on distinct walking patterns, finds applicati...
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Starting with Software Defined Networking (SDN) and Network Functions Virtualization (NFV) technologies, network slicing is emerging as a critical technology in 5G-advanced and 6G mobile communications to allocate log...
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In order to solve the problem of small-scale key point positioning accuracy in multiplayer pose estimation, using top-down method and advanced yolov4-tiny, this paper proposes an improved multi-person pose estimation ...
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The attention mechanism can extract task-relevant vital information while suppressing less important information, playing an increasingly critical role in deep feature representation for semantic segmentation. This re...
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