一窝小鸟
发表于 2025-3-23 10:20:07
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阐明
发表于 2025-3-23 15:44:50
DeepParking: Deep Learning-Based Planning Method for Autonomous Parkingred to be reasonably performed in a very limited space. Moreover, since unstructured parking scenarios are lack of significant common features, creating useful heuristics manually to adapt to changing conditions is a non-trivial task. Therefore, we propose a two-stage scheme, Deep Neural Networks ba
seruting
发表于 2025-3-23 20:05:47
Recommendations for Urban Planning Based on Non-motorized Travel Data and Street Comfortn and global warming. Based on this, this paper is dedicated to conducting research on improving the attractiveness of outdoor environmental spaces and improving outdoor thermal comfort. The main work of this paper is first to propose a street comfort model by considering both environmental and clim
resilience
发表于 2025-3-23 23:54:27
A Composite Grid Clustering Algorithm Based on Density and Balance Degreeof bikes and negatively impact the user experience and the operating costs of bike-sharing companies. To address these challenges, bike-sharing companies can create temporary parking stations or electronic fencing and implement bicycle rebalancing strategies across districts. However, these strategi
赤字
发表于 2025-3-24 03:36:07
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音乐学者
发表于 2025-3-24 08:36:12
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FAR
发表于 2025-3-24 11:54:18
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明确
发表于 2025-3-24 14:56:04
Ship Classification Based on Trajectories Data and LightGBM Considering Offshore Distance Feature features extracted by the existing ship classification methods are motion features, which ignore the spatial relation between the vessels and the coastline, a Method based on LightGBM (Light Gradient Boosting Machine) for ship classification considering the offshore distance features is proposed. F
我不怕牺牲
发表于 2025-3-24 19:59:38
CDGCN: An Effective and Efficient Algorithm Based on Community Detection for Training Deep and Largeor large scale graphs is trained by full-batch stochastic gradient descent, which causes two problems: over-smoothing and neighborhood expansion, which may lead to loss of model accuracy and high memory and computational overhead. To alleviate these two challenges, we propose CDGCN, a novel GCN algo
BYRE
发表于 2025-3-25 01:13:32
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