Titlebook: Machine Learning and Intelligent Communications; 6th EAI Internationa Xiaolin Jiang Conference proceedings 2022 ICST Institute for Computer

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Deep Learning Network for Frequency Offset Cancellation in OFDM Communication System, by CFO. Compared with MMSE and LS algorithm, the proposed deep learning network greatly improves the bit error rate performance. The simulation has proved that the proposed deep learning network algorithm has BER performance in OFDM systems.

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1867-8211 munications, MLICOM 2021, held in November 2021. Due to COVID-19 pandemic the conference was held virtually.. The 28 revised full papers were carefully selected from 58 submissions. The papers are organized thematically in tracks as follows: internet of vehicle communication system; applications of

CAB

Research on Text Communication Security Based on Deep Learning Model,conduct feature extraction. On the basis of the analysis of the classifier algorithm, the experimental data is finalized. The results show that the classification effect of the polynomial plain Bayes classifier is optimal, and the identification of garbage text is best optimized.

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,Deep Learning Technique for Desert Plant Classification and Recognition,ning technique that used in image classification tasks. Therefore, we test CNN on our dataset, and it gives an accuracy of 99.8%. Performance of CNN is very high, hence CNN can be adapted for recognition of desert plants.

钢笔尖

,Research on the Rising Phenomenons in the Bit Error Rate Performances of LT-Based UEP Codes,antized the BER of RUEP codes, and compared through two manners to illustrate the BER performances of such code, a useful design principle is given to avoid too lower transmission efficiency and too higher encoding and decoding complexity.

Blood-Vessels

Application of Dijkstra Algorithm in Optimal Route Selection Under the Background of TPACK Educatio software realization route network shortest route choice, makes the tourists in the process of route choice by according to their actual demand the best travel path. So as to achieve the goal of energy conservation and environmental protection, green travel.

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