Titlebook: Computer and Communication Engineering; Third International Filippo Neri,Ke-Lin Du,Zhiyu Jiang Conference proceedings 2023 The Editor(s) (

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cunning

Adrenal-Glands

An Analysis of the Performance Changes of the Model by Reducing the Input Feature Dimension in Stockrefore, in this paper, the number of input features used in previous studies was reduced by using the dimension reduction method, and the performance change was analyzed. As a result of the experiment, it was confirmed that the models to which the PCA is applied have improved training speed and performance compared to the model without the PCA.

INTER

A Hybrid Algorithm by Incorporating Neural Network and Metaheuristic Algorithms for Function Approxi the optimal training expression among corresponding algorithms in this study. Additionally, method appraisal consequences for two benchmark nonlinear test functions illustrate that the proposed HSIA algorithm surpasses corresponding algorithms in accuracy of function approximation issue and the industrial computer (IC) demand prediction exercise.

JUST

1865-0929 in Stockholm, Sweden, in March 2023..The 18 full papers presented were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: image analysis and method; network model and function analysis of mobile network; system security estimation and ana

podiatrist

Conference proceedings 2023lm, Sweden, in March 2023..The 18 full papers presented were carefully reviewed and selected from 36 submissions. The papers are organized in the following topical sections: image analysis and method; network model and function analysis of mobile network; system security estimation and analysis of d

Virtues

Samuel Taylor Coleridge and John Clareic as well as dynamic obstacles. This requires some knowledge about the blockage probabilities due to the obstacles. We then present a way of learning these blockage probabilities using the Dempster-Shafer evidential theory framework. We show the effectiveness of our proposed scheme over an existing approach through extensive simulations.

sperse

Obstacle Aware Link Selection for Stable Multicast D2D Communicationsic as well as dynamic obstacles. This requires some knowledge about the blockage probabilities due to the obstacles. We then present a way of learning these blockage probabilities using the Dempster-Shafer evidential theory framework. We show the effectiveness of our proposed scheme over an existing approach through extensive simulations.

Boycott