Communications and Networking
17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings
(Sprache: Englisch)
This proceedings constitutes the refereed proceedings of the 17th 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...
The 31 full...
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Produktinformationen zu „Communications and Networking “
Klappentext zu „Communications and Networking “
This proceedings constitutes the refereed proceedings of the 17th 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.
Inhaltsverzeichnis zu „Communications and Networking “
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
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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.
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Bibliographische Angaben
- 2023, 1st ed. 2023, XIV, 422 Seiten, 141 farbige Abbildungen, Masse: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Feifei Gao, Jun Wu, Yun Li, Honghao Gao
- Verlag: Springer, Berlin
- ISBN-10: 3031347897
- ISBN-13: 9783031347894
Sprache:
Englisch
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