This paper proposes a novel flotation condition recognition method named the multi-modal temporal hypergraph neural network (MTHGNN) to extract and fuse multi- ...
Mar 8, 2024 · This paper proposes a novel flotation condition recognition method named the multi-modal temporal hypergraph neural network (MTHGNN) to extract and fuse multi- ...
The experimental results validate the effectiveness of the proposed method for flotation condition recognition, providing a foundation for optimizing flotation ...
Figure 6. Residual element. Multi-Modal Temporal Hypergraph Neural Network for Flotation Condition Recognition.
Figure 6. Residual element. Multi-Modal Temporal Hypergraph Neural Network for Flotation Condition Recognition.
Multi-Modal Temporal Hypergraph Neural Network for Flotation Condition Recognition. Entropy 2024, 26, 239. https://doi.org/10.3390/e26030239. AMA Style. Fan Z ...
We propose a Spatial–Temporal Hypergraph based on Dual-Stage Attention Network (STHG-DAN) for multi-view data lightweight action recognition.
Missing: Flotation | Show results with:Flotation
Mar 28, 2024 · Accordingly, we propose the multi-view hypergraph neural network to integrate features across viewpoints and temporal segments, i.e., using rule ...
A novel flotation condition recognition method named the multi-modal temporal hypergraph neural network (MTHGNN) to extract and fuse multi-modal temporal ...
Works (3). sort. Multi-Modal Temporal Hypergraph Neural Network for Flotation Condition Recognition ... Temporal Convolutional Network. Applied Sciences. 2023 ...