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Communications and Networking [[electronic resource] ] : 17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings / / edited by Feifei Gao, Jun Wu, Yun Li, Honghao Gao



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Autore: Gao Feifei Visualizza persona
Titolo: Communications and Networking [[electronic resource] ] : 17th EAI International Conference, Chinacom 2022, Virtual Event, November 19-20, 2022, Proceedings / / edited by Feifei Gao, Jun Wu, Yun Li, Honghao Gao Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Edizione: 1st ed. 2023.
Descrizione fisica: 1 online resource (426 pages)
Disciplina: 004.6
Soggetto topico: Computer networks
Computer Communication Networks
Altri autori: WuJun  
LiYun  
GaoHonghao  
Nota di contenuto: 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 Grasshopper Optimization 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 -- Dropout prediction 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 based on co-word clustering -- Research on Virtual Simulation Teaching Platform Based on Convergent Media.
Sommario/riassunto: 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.
Titolo autorizzato: Communications and Networking  Visualizza cluster
ISBN: 3-031-34790-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996546824103316
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Serie: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, . 1867-822X ; ; 500