Traffic prediction is a very important mechanism in intelligent transportation systems for
applications including routing planning and traffic control. In order to infer multifarious traffic …

针对基于降维的神经网络分类器预测模型在分析过程中存在特征丢失, 并导致精度下降的问题,
提出一种基于随机森林算法优化的多层感知器(MLP) 回归预测模型. 该优化模型通过在MLP …

Currently, the Internet of Underwater Things (IoUT) plays an important role in ocean
exploration, monitoring, and protection. However, it faces many security threats due to …

To accelerate searching an enjoyable holiday resort from massive-scale tourism spots on
social media, the TR-DNNMF tourism spots recommendation system combining neural …

This paper systematically investigates pedestrian trajectory prediction through a data-driven
stacking fusion approach. Firstly, a novel Attention Mechanism-Long Short-Term Memory …

Transient stability prediction under the concept of security region of a power system can be
used to identify potential unstable states of the system and ensure its secure operation. In …

Real-time traffic volume prediction is critical for proactive traffic control and road guidance
via fast-communication networks. However, existing research relies on historical traffic …

Ramps are a critical component of an interchange, which seek maximum driver attention to
satisfy the deceleration and acceleration requirements. To improve safety and articulate …

Short-term traffic flow prediction stands as a critical and highly topical research subject
within the intelligent transportation system (ITS) domain. Owing to its inherent uncertainty …