Titlebook: Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and Health; International 2020 C Huansheng Ning,Feifei Shi Conference proceed

Hamper

Iterative Optimization for Edge Federated Learningts process. The experimental results demonstrate that the centralized machine learning often receives a far better training result under the same number of training samples compared with federated learning. Furthermore, increasing the communication frequency between the server and clients can improve the learning result.

乏味

DeepTSW: An Urban Traffic Safety Warning Framework Based on Bayesian Deep Learningccident risk grade evaluation. The experimental results of actual traffic data show that our traffic accident prediction model is superior to the four baseline models, and DeepTSW can effectively reflect the actual accident risk.

微尘

Cyberspace Data and Intelligence, and Cyber-Living, Syndrome, and HealthInternational 2020 C

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重叠

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侵略者

Classification of Autism Based on fMRI Data with Feature-Fused Convolutional Neural Networklly, several experiments are carried out on the ABIDE (Autism Brain Imaging Data Exchange) datasets to test the performance of our proposed method. The fused feature CNN model is compared with the CNN model with only FC or ALFF features; it is also compared with three traditional machine learning me

Rct393

Topic Logistics Based on Node Resource Statusossible data communication paths. It is verified through experiments that this algorithm can realize node resources. The full utilization of, thereby reducing communication energy consumption and improving transmission efficiency.

冬眠

Summarization of Coal Mine Accident Reports: A Natural-Language-Processing-Based Approachreports. Firstly, after analyzing the overall text framework of the coal mine accident report, the general text structure is presented accordingly. Then, on the basis of it, combining with the TextRank method and Word2vec technique in NLP, the report text structure is optimized, and the report summa

Processes