Gao / Wu / Li Communications and Networking

17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings
Erscheinungsjahr 2023
ISBN: 978-3-031-34790-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 500, 422 Seiten, eBook

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

This proceedings constitutes the refereed proceedings of the 17 th International Conference on Communications and Networking, ChinaCom 2022, held in November 19-20, 2022. Due to COVID-19 pandemic the conference was held virtually. The 31 full papers presented were carefully selected from 83 submissions. The papers are organized in topical sections on Signal Processing and Communication Optimization; Scheduling and Transmission Optimization; Network Communication Performance Enhancement; Deep Learning Applications and Optimization; Deep Learning and Network Performance Optimization; Edge Computing and Artificial Intelligence Applications.

Zielgruppe

Research

Autoren/Hrsg.

Gao, Feifei

Wu, Jun

Li, Yun

Gao, Honghao

Inhaltsverzeichnis

Software Engineering and Blockchain Technologies .- Using Requirements Clustering to Discover Dependent Requirements for Hidden Impact Analysis.- A Proposed Keyword-Based Feature Extraction Approach for Labeling and Classifying Egyptian Mobile Apps Arabic Slang User Requirements Reviews.- A Comparative study for anonymizing datasets with multiple sensitive attribute and multiple records.- Proposed Framework for Cloud Immunization In-formation System: Challenges and Opportunities.- The Role of Block Chain Technology in Reducing Corruption within the Local Governance in Egyp.- A data brokering architecture to guarantee nonfunctional requirements in IoT applications.-  Machine Learning and Big Data applications .- A Proposed Virtual Learning Model based on Statistical Analysis of Educational Data of Egypt.- Diagnosis Hepatitis B Using Machine and Deep Learning: Survey.- Using GrasshopperOptimization in Big Data.- A Semi-supervised Learning Application for Hand Posture Classification.- Explore the relationship between procedural score feedback and subsequent time allocation and learning outcomes of learners in a MOOC.- DoS attacks detection in the network of drones: An efficient Decision Tree-based method.-  Deep Learning applications and Bio-inspired Optimization .-   Detecting Fake News Spreaders on Twitter Through Follower Networks.- NODDLE: Node2vec based deep learning model for link prediction.- Hybrid Coral Reef Optimization Algorithm Employed Local Search Technique for Job Shop Scheduling Problems.-,Efficient Human Activity Recognition based on Grouped Representations of Multimodal Wearable Data.-  Artificial Intelligence and Data Mining in Education .- Pose+Context: a model for recognizing non-verbal teaching behavior of normal college student.- Dropoutprediction in MOOCs combining behavioral sequence characteristics.- CVO: Curriculum vitae optimization by recommending keywords to undergraduate students.-  Hardware and Software solutions for Big Data Storing and Management .- Big Data in Healthcare Institutions: An Architecture Proposal.- New Domains and Novel Applications Related to Big Data  Technologies .- Analysis of Knowledge Map on Rural Culture Tourism in China.- A visual analysis of e-government research in China basedon co-word clustering.- Research on Virtual Simulation Teaching Platform Based on Convergent Media.