In oilfield surface gathering and transportation systems, precise control of water injection is crucial for stabilizing wellhead pressure, ensuring efficient system operation, and conserving resources ...

Graph has been proven to be an emerging tool for spectrum sensing (SS), with detection performance closely related to the graph characteristics. Existing graph-based SS has been mainly investigated ...

Then, GTasm scores the edges by graph transformer model, and adopt a heuristic algorithm to find optimal paths in the assembly graph, each path corresponding to a contig. The graph transformer model ...

Static power converters produce harmonics due to the nature of the conversion process. This paper will investigate two variations of current mode control for three-phase power converters ensuring ...

Graph neural network (GNN)-based deep learning (DL) models have been widely implemented to predict the experimental aqueous solvation free energy, while its prediction accuracy has reached a plateau ...

In this study, we develop an advanced method, GATGCN, using graph attention network (GAT) and graph convolutional network (GCN) to detect potential circRNA–disease relationships. First, several ...

Raman Spectroscopy sees use in a wide range of industries and processes. The technique requires very specific instruments, with single-mode laser diodes being the most commonly used. Sheaumann offers ...