Communications, Networking, and Information Systems

First International Congress, CNIS 2023, Guilin, China, March 25–27, 2023, Revised Selected Papers

AvHaonan Chen,Pingyi Fan

Häftad, Engelska, 2023

Del i serien Communications in Computer and Information Science

1 222 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

This volume constitutes selected papers presented at the First International Congress on Communications, Networking, and Information Systems, CNIS 2023, held in Guilin, China, in March 2023. The 8 full papers and 2 short papers presented were thoroughly reviewed and selected from the 32 submissions. The papers are organized in topical sections on communications and networking, and information systems and artificial intelligence.

Produktinformation

Utgivningsdatum:2023-06-09
Mått:155 x 235 x 11 mm
Vikt:295 g
Format:Häftad
Språk:Engelska
Serie:Communications in Computer and Information Science
Antal sidor:173
Upplaga:23001
Förlag:Springer Verlag, Singapore
ISBN:9789819935802

Utforska kategorier

Artificiell intelligens inom Data och IT
Hårdvara inom Data och IT
Tillämpad datateknik inom Data och IT

Innehållsförteckning

Communications and Networking.- Deep reinforcement learning based vehicle selection for asynchronous federated learning enabled vehicular edge computing.- A Virtual Community Healthcare Framework in Metaverse Enabled by Digital Twins.- An improved LED aruco-marker detection method for event camera.- Improvement Of CenterNet Based On Feature Pyramid Networks.- Information Security Protection Techniques for Substation Operation and Maintenance Edge Gateway.- A Robust MOR-Based Secure Fusion Strategy against Byzantine Attack in Cooperative Spectrum Sensing.- Security Analysis of Blockchain Layer-one Sharding based Extended-UTxO Model.- Information Systems and Artificial Intelligence.- Fundamental Frequency Removal PCA Method and SVM Approach Used for Structure Feature Distilling and Damage Diagnosis.- Stock trend prediction based on improved SVR.- Several Misconceptions and Misuses of Deep Neural Networks and Deep Learning.