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Titlebook: Intelligent Computers, Algorithms, and Applications; Third BenchCouncil I Christophe Cruz,Yanchun Zhang,Wanling Gao Conference proceedings

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Convolutional Graph Neural Networks for Predicting Enthalpy of Formation in Intermetallic Compounds oposes a novel deep learning approach for predicting formation enthalpy. This research develops a graph neural network combined with continuous filter convolutional layers to simulate quantum interactions between atoms. This enables direct learning from atom types and coordinates without simplifying
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Machine Learning for Time-to-Event Prediction and Survival Clustering: A Review from Statistics to Ddeath or disease recurrence. It plays a crucial role in analyzing and understanding time-to-event data in various medical and biological studies. Deep learning, as a subset of artificial intelligence, has shown remarkable success in diverse domains, such as image recognition and natural language pro
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1865-0929 ns, IC 2023, which took place in Sanya, China, in December 2023. .The 18 full papers and 8 short papers included in this book were carefully reviewed and selected from 50 submissions. They were organized in topical sections as follows: AI Algorithms and Systems; AI for Ocean science and engineering;
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