Groundwater contamination poses serious threats to public health and environmental
sustainability. In this paper, we explore smart groundwater contamination sensing, which …

Points of interest (POIs)—areas with a concentration of places that attract people—are
important urban planning and tourism policy targets. This study aims to determine the points …

Travel location recommendation methods using community-contributed geotagged photos
are based on past check-ins. Therefore, these methods cannot effectively work for new travel …

The rapidly growing location-based social network (LBSN) has become a promising platform
for studying users' mobility patterns. Many online applications can be built based on such …

针对单段及多段连续体机器人运动学问题, 提出分段常曲率与粒子群算法相结合的完整正逆运动
学分析方法. 以双段丝驱动连续体机器人为研究对象, 首先设计含平移段的机器人样机; …

In location-based social networks (LBSNs), point-of-interest (POI) recommendations
facilitate access to information for people by recommending attractive locations they have …

为保证设备正常运行并准确预测轴承剩余寿命, 提出二维卷积神经网络与改进Wavenet
组合的寿命预测模型. 为克服未优化的递归网络在预测训练过程中易出现梯度消失问题 …

Groundwater contamination poses serious threats to public health and environmental
sustainability. In this paper, we study the smart groundwater contamination sensing problem …

This paper measures the cultural consumption patterns of expatriates in Shanghai by
applying a geo-information approach to data derived from social media. In order to reveal …

With the support of a wide range of location-based applications, location-based social
networks have attracted the attention of academia, industry, and users by introducing …