Decision-making in autonomous driving is an emerging technology that has rapid progress over the last decade. In single-lane scenarios, autonomous vehicles should simultaneously optimize their velocity decisions and s...
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Cardiovascular illness is one of the prime sources for the loss of many human lives every year. The prime cause for mortality is the absence of past diagnostic information. Hence, for better prediction of the disease,...
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Due to insufficient underwater illumination and serious electromagnetic signal attenuation, the use of cameras, lidars and satellite positioning and navigation systems in the underwater environment is greatly limited....
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Mining graph data has gained wide attention in modern applications. With the explosive growth of graph data, it is common to see many of them collected and stored in different distinction systems. These local graphs c...
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To protect user privacy in data analysis, a state-of-the-art strategy is differential privacy in which scientific noise is injected into the real analysis output. The noise masks individual’s sensitive information co...
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The knowledge graph-based (KG-based) recommender systems have achieved excellent results in the recommendation domain. However, the long-tail issue hinders the model from mining the real interests of users. Existing r...
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In this paper, parallel GPU-based versions of the three Rao metaphor-less optimization algorithms are proposed and used to solve large-scale nonlinear equation systems, which are hard to solve with traditional numeric...
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Recent studies revealed that convolutional neural networks do not generalize well to small image transformations, e.g. rotations by a few degrees or translations of a few pixels. To improve the robustness to such...
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Short-form videos are penetrating the daily lives of older adults, but falsehoods among them are a major threat to older adults. To understand how older adults perceive and discern fake short-form videos, semi-structu...
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