The level of crime rates in practically every part of the world has risen to unprecedented levels. These are tough times that call for extreme methods to protect individuals, particularly those who must travel to unkn...
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In Vehicular Edge Computing (VEC), efficient task offloading is essential for reducing latency and enhancing system performance, especially in resource-constrained environments. In this regard, Roadside Units (RSUs) c...
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Multimodal Named Entity Recognition (MNER) is a vision-language task aimed at detecting the scope of entities and determining their types in given text-image pairs. Although existing MNER models have made some progres...
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A scene in a video consists of several shots and difference between shot and scene is that shot is captured from different camera locations whereas scene consists of shots that are captured at same location but from d...
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Online learning algorithms adjust the synaptic weights when the neurons fire spikes during the learning process of spiking neural networks, which are shown to be more suitable and effective for processing spatio-tempo...
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Recently, a vast amount of text data has increased rapidly and therefore information must be summarised to retrieve useful knowledge. First, the preprocessing module utilises the fixed-length stemming method, and then...
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Extracting text summarization involves the retention of only the most important sentences in a document. Finding the appropriate ranking order of the phrases in the document according to their relevance is a vital ste...
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Session-based social recommendation (SSR) is an important branch of session-based recommendation that aims to generate more accurate recommendations by combining users' historical sessions with their social inform...
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In this paper, we study fundamental parameterized problems such as k-Path/Cycle, Vertex Cover, Triangle Hitting Set, Feedback Vertex Set, and Cycle Packing for dynamic unit disk graphs. Given a vertex set V changing d...
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Neural Radiance Field (NeRF) has become an increasingly popular approach for modeling the geometry and appearance of scenes/objects. Various datasets for training and testing the rendered view quality have been introd...
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