General Collection
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Federated learning (FL) is an effective machine learning paradigm where multiple clients can train models based on heterogeneous data in a decentralized manner without accessing their private data....
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The immense growth of public transportation users (patronage or ridership) makes public transportation experience excessive demands, especially during peak hours. All governments worldwide experien...
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The objective of this paper is self-supervised learning of video object segmentation. We develop a unified framework which simultaneously models cross-frame dense correspondence for locally discrim...
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This research aims to increase the utility of globally and abundantly available waste natural fibres of Gallus-Gallus fibres coir waste from mattress and car seat manufacturing factories. The compo...
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BACKGROUND: The world in recent years has seen a pandemic of global scale. To counter the widespread loss of life and severe repercussions, researchers developed vaccinations at a fast pace to immu...
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The feedback vertex set is one of 21 Np complete problems proposed by Karp aiming at breaking all cycles in a given graph It could be used in numerous areas e g program analysis database systems In...
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Public online open innovation (OI) platforms, widely used across countries, allow communities to participate in OI processes by sharing innovative ideas about specific problems. Knowledge creation ...
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The innate and adaptive immune systems rely on the skin for various purposes, serving as the primary defense against harmful environmental elements. However, skin lesions may lead to undesirable co...
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Food safety risk prediction is crucial for timely hazard detection and effective control. This study proposes a novel risk prediction method for food safety called TabNet-GRA, which combines a spec...
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Video Semantic Segmentation (VSS) involves assigning a semantic label to each pixel in a video sequence. Prior work in this field has demonstrated promising results by extending image semantic segm...
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