Titlebook: Intelligent Networked Things; 5th China Conference Lin Zhang,Wensheng Yu,Yuanjun Laili Conference proceedings 2022 The Editor(s) (if applic

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TGNN: A GNN-Based Method with?Multi-entity Node for?Personal Banking Time Prediction of banking records. In this paper, we propose a Tuple-node-based Graph Neural Network (TGNN) framework to learn representations of clients and services of banks and estimate the personal banking time based on the representations. Empirical studies on two real-world datasets collected from a fintech

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Multi-objective Optimization Based Viscosity Prediction for Inks in Direct Ink Writing Numerical Sim and NSGA-II and TOPSIS are deployed to determine the model parameters and the final viscosity prediction result. Afterwards, the proposed method is validated by comparing the simulation and experimental results of profile of freeform extruded filaments (FEF). The proposed viscosity prediction metho

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