Abstract: Rumor blocking approaches in social networks aim to identify a small set of counter-rumor seed nodes and compete with rumor cascades to quickly stop the propagation of rumors. However, ...
Abstract: With the rapid advancement of deep learning, text-to-speech and voice conversion systems can now generate synthetic speech, commonly known as deepfake speech, that sounds nearly identical to ...
Generate large random networks using Erdős–Rényi (ER) model and Preferential Attachment (PA) model. Analyze community structure of large networks, including Giant Connected Component (GCC) size and ...
Mathematics for Biosciences is an ideal resource for those students needing a complete course of Mathematics, from basic algebra to advanced calculus and their applications. More than just a ...
This book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning. It presents ...
We further construct machine learning models based on a graph network and random forest to enable fast and accurate prediction of minimum lattice thermal conductivity on a large scale, which is ...
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