会议信息
NGDN 2024: International Conference on Next Generation Data-driven Networks
http://www.ngdn.net/截稿日期: |
2024-04-20 |
通知日期: |
2024-04-20 |
会议日期: |
2024-04-26 |
会议地点: |
Shenyang, China |
届数: |
6 |
浏览: 2145 关注: 2 参加: 0
征稿
Welcome to the official website of The Sixth International Conference on Next Generation Data-driven Networks (NGDN 2024). The technologies of computing, machine learning and deep learning have undergone a series of evolutionary innovation over the past decades and improved the networked systems performance and quality of human life significantly. By applying such techniques, the performance of computer networks including fixed computer networks, MANETs, VANETs, WSN, WBAN, FANET, etc., could be refined under the umbrella of network delivery capacity, resource availability and key metrics such as bandwidth, jitter, throughput, transmission delay, and availability. In the past three years, NGDN was organized in Exeter UK (ISPA 2020), Shenyang China (TrustCom 2021), and Wuhan China (IEEE TrustCom-2022). The Sixth International Conference on Next Generation Data-driven Networks (NGDN 2024) will be held in Shenyang, China, 26-28 April, 2024. NGDN 2024 aims to solicit original and previously unpublished papers addressing research challenges and advances towards the design, implementation and evaluation of data communication technologies, systems, machine learning and data mining. Topics of interest for submission include, but are not limited to: · Data-driven mobile computing and wireless communications · Data-driven computer networks · Data-driven network protocols · Data-driven telecommunications · Data-driven based network trust, security, and privacy · Digital-twin networks · Air-ground networks · Big data-based 5G networks · Data-driven software defined networking (SDN) · Machine learning and deep learning technologies for networking · Network-based models and optimization algorithms · Data-driven social network analysis · Internet of Things (IoT) and big data · Machine learning and data mining from multimedia in social networks · Data-driven network models and applications such as intelligent transport systems · Could computing and applications · System performance analysis · Data mining, data quality, data visualization · Data Center operation and maintenance (power/water/central heating supply etc.) · Data Center management and optimization · Big Data-based network planning and optimization · Big Data analysis of users (user group/user behavior/user track etc.) · Big Data assisted telecom operation (customer maintain/value-added service etc.) · Big Data analysis of mobile terminals (distribution/category/brand etc.) · Next-generation networking to deal with COVID-19 · Next-generation networked trust and security *Other related topics
最后更新 Dou Sun 在 2024-04-03
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相关期刊
CCF | 全称 | 影响因子 | 出版商 | ISSN |
---|---|---|---|---|
Journal of Forecasting | 3.400 | Wiley-Blackwell | 0277-6693 | |
Journal of Combinatorial Optimization | 0.900 | Springer | 1382-6905 | |
Information Systems Journal | 6.500 | Wiley-Blackwell | 1350-1917 | |
Modeling, Identification and Control | The Research Council of Norway | 0332-7353 | ||
Standards | MDPI | 2305-6703 | ||
Journal of Rail Transport Planning & Management | 2.600 | Elsevier | 2210-9706 | |
b | Journal of Artificial Intelligence Research | AI Access Foundation, Inc. | 1076-9757 | |
IEEE Transactions on Signal Processing | 4.600 | IEEE | 1053-587X | |
Mathematical Methods of Operations Research | 0.900 | Springer | 1432-2994 | |
IEEE Cloud Computing Magazine | IEEE | 2325-6095 |
全称 | 影响因子 | 出版商 |
---|---|---|
Journal of Forecasting | 3.400 | Wiley-Blackwell |
Journal of Combinatorial Optimization | 0.900 | Springer |
Information Systems Journal | 6.500 | Wiley-Blackwell |
Modeling, Identification and Control | The Research Council of Norway | |
Standards | MDPI | |
Journal of Rail Transport Planning & Management | 2.600 | Elsevier |
Journal of Artificial Intelligence Research | AI Access Foundation, Inc. | |
IEEE Transactions on Signal Processing | 4.600 | IEEE |
Mathematical Methods of Operations Research | 0.900 | Springer |
IEEE Cloud Computing Magazine | IEEE |
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