会議情報

EIBDCT 2026: International Conference on Electronic Information Engineering, Big Data and Computer Technology

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投稿締切日:
2026-02-07
通知日:
開催日:
2026-04-24
開催地:
Haikou, China
開催回数:
5
閲覧: 10883   フォロー: 3   参加: 0

論文募集

EIBDCT 2026 (International Conference on Electronic Information Engineering, Big Data and Computer Technology) is an academic conference held in Haikou, China on 2026-04-24. The paper submission deadline is 2026-02-07.

2026 5th International Conference on Electronic Information Engineering, Big Data and Computer Technology provides a premier forum for the presentation of new advances and research results in the fields of Electronic Information Engineering, Big Data and Computer Technology. The conference will bring together leading researchers, social workers and scientists in the domain of interest from around the world. The topics of interest for submission include, but are not limited to: ◕ Information Science and Applied technology · Security and cryptography · System security · bioinformatics · Bioinformatics and scientific computing · Multimedia application · Expert system · Human-computer interaction · Information retrieval · Information system · Computer architecture and embedded systems · Computer security · Mobile application · Multimedia application ◕ Information Network and big Data · Wireless communication and mobile computing · Wireless sensor network · Internet of Things · Web 2.0 technology · Social networking and marketing · Satellite network · Digital twin · Integrated sensing, computing and storage · Wireless communication · Internet and web applications · 5G and above networks · B5G+ Industrial Internet · Data center network · Data mining · Knowledge engineering · Data compression ◕ Machine Learning and Neural Networks in Communication Systems · Machine Learning for Wireless Communication and 5G Networks · AI-based Optimization and Resource Allocation in Communication Networks · Deep Learning for Signal Processing, Channel Estimation, and Spectrum Management · Cognitive Radio Networks and Machine Learning for Dynamic Spectrum Access · Neural Networks for MIMO Systems, Beamforming, and Network Security · Machine Learning for Network Traffic Prediction and Intrusion Detection · AI Techniques for Quality of Service (QoS) and Quality of Experience (QoE) in Networks · Data-driven Approaches for IoT and Autonomous Communication Systems · Deep Reinforcement Learning for Communication Network Optimization
最終更新：Dou Sun（）

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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203

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