Advances in the Application of Artificial Intelligence-Based Spectral Data Interpretation: A Perspective

X Xue, H Sun, M Yang, X Liu, HY Hu, Y Deng… - Analytical …, 2023 - ACS Publications
The interpretation of spectral data, including mass, nuclear magnetic resonance, infrared,
and ultraviolet–visible spectra, is critical for obtaining molecular structural information. The …

LB-GLAT: Long-term bi-graph layer attention convolutional network for anti-money laundering in transactional blockchain

C Guo, S Zhang, P Zhang, M Alkubati, J Song - Mathematics, 2023 - mdpi.com
The decentralization and anonymity of blockchain have attracted significant attention.
However, in recent years, there has been a rise in blockchain money laundering incidents …

Dynamic Graph Convolution-Based Spatio-Temporal Feature Network for Urban Water Demand Forecasting

Z Jia, H Li, J Yan, J Sun, C Han, J Qu - Applied Sciences, 2023 - mdpi.com
Urban water demand forecasting is the key component of smart water, which plays an
important role in building a smart city. Although various methods have been proposed to …

[HTML][HTML] Selective Auditory Attention Detection Using Combined Transformer and Convolutional Graph Neural Networks

M Geravanchizadeh, A Shaygan Asl, S Danishvar - Bioengineering, 2024 - mdpi.com
Attention is one of many human cognitive functions that are essential in everyday life. Given
our limited processing capacity, attention helps us focus only on what matters. Focusing …

Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks

P Hembert, C Ghnatios, J Cotton, F Chinesta - Sensors, 2024 - mdpi.com
A deep geological repository for radioactive waste, such as Andra's Cigéo project, requires
long-term (persistent) monitoring. To achieve this goal, data from a network of sensors are …

Adaptive Propagation Graph Convolutional Networks Based on Attention Mechanism

C Zhang, Y Gan, R Yang - Information, 2022 - mdpi.com
The main steps in a graph neural network are message propagation and aggregation
between nodes. Message propagation allows messages from distant nodes in the graph to …