Spatial–temporal attentionAccurate travel time prediction between two locations is one of the most substantial services in transport. In travel time prediction, origin–destination (OD) method is more challenging since it has no intermediate trajectory points. This paper puts forward a deep learning-...
Finally, based on the integration of feature similarity and the spatial relationships of geographic objects, a multi-source attention mechanism and gating mechanism are designed to control the process of node aggregation, as a result, the high-level semantics, spatial relationships and prior knowledge...
The proposed architecture is a three-tier framework precisely described as 1) Video Collection Unit (VCU) that collects the videos from the different views of the camera installed. 2) Distributed Training Network (DTN) which consists of federated learning Self-Attention Saliency Gated Recurrent Units...
Automatic abnormal event detection has recently gained remarkable attention in the field of computer vision [12], [17], in which humans are freed from controlling surveillance whenever an alert pops up. The surveillance system only focuses on abnormal events while the captured videos contain immense...
The EEMD-GRU-GCN method can provide a holistic analysis of time-series data by taking into account both the temporal sequence and spatial connections between different parts of the data. Enhanced accuracy The multi-faceted nature of the approach leads to improved prediction accuracy, as it can de...
Using the memory properties of the bidirectional threshold recurrent unit neural network (BiGRU-RNN), the diagnostic value of the convolution feature weight vector and the molecular subtyping-related feature vector obtained by DCNN will be filtered through the attention mechanism. The aim is to ...
The GRU is a recurrent unit with hidden memory cell that allows for information from earlier data to be combined with subsequent data in the time-series. This is crucial as the dataset \((x_i,y_j)\) may carry temporal information. For instance, buses recently picking up commuters would ...
Future experiments will be needed to test the underlying mechanisms and define whether engagement is best considered as a change in attention, satiety and/or motivation. Regardless of the mechanisms, our results reveal that the hippocampus does not always maintain a spatial map and that place codes...
Xu, H., Saenko, K.: Ask, attend and answer: exploring question-guided spatial attention for visual question answering. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9911, pp. 451–466. Springer, Cham (2016).https://doi.org/10.1007/978-3-3...
The given equation involves several components, including an activation function represented by σ (such as ReLU), linear projections U and V along the channel dimension, and a spatial gating unit denoted by s() that captures interactions between tokens in space. Additionally, there is a simplisti...