会议信息

BROADNETS 2020: EAI International Conference on Broadband Communications, Networks, and Systems

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截稿日期:
2020-06-30
通知日期:
2020-07-31
会议日期:
2020-10-23
会议地点:
Online
届数:
11
ICORE: C   浏览: 8986   关注: 0   参加: 0

会伴指数 (CP-I)

48.3 / 100
全站第 2,029 名 / 共 5,693 个会议 · 前 36%

网络与通信 第 301 / 865

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
67
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 收录等级:ICORE C · 有据可查的届次:11 · 过去 24 个月打开过本页的研究者:2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-05

征稿

BROADNETS 2020 (EAI International Conference on Broadband Communications, Networks, and Systems) is a ICORE C conference held in Online on 2020-10-23. The paper submission deadline is 2020-06-30. Acceptance notifications are sent on 2020-07-31.

Scope The 5G and beyond towards 6G vision targets a digital and connected landscape, where not only people but devices will be connected to what is referred to as the Internet of Everything (IoE). Real-life objects will be smart in nature, and possibly virtual, allowing everyday activities to be performed remotely at the touch of a button in a seamless manner. In this context, new technologies are required such as connectivity that can transport information effectively according to the application data. However, for real-life objects to come life, these will be animated through cyber-physical technology, that include sensors, actuators and embedded software. Where embedded systems were once constrained to consumer devices, now it comes to the forefront playing a pivotal role in the 5G paradigm, allowing devices to become objects, and objects to form part of an integrated system, where different devices employing diverse data formats and operating systems are no longer barriers. The Internet has become the largest man-made system in human history, which has a great impact on people’s daily life and work. Security is one of the most significant concerns in the development of a sustainable, resilient and prosperous Internet ecosystem. Cyber-security in communication faces many challenging issues, such as intrusion detection, privacy protection, proactive defense, anomalous behaviors, advanced threat detection and so on. Recent studies show that Deep learning has resulted in advances in many scientific and technological fields, i.e., medicine, transportation. Therefore, deep learning approaches are expected to deal with these security issues. The scope of this conference will target one of the key drivers for 5G, the IoE world that includes technology advances in cyber-physical systems and security. The conference is also interested in novel works applying 5G concepts to space and underwater communications. The conference aims to provide a platform where to disseminate and discuss key innovations and technology trends in this fast-evolving arena. Topics The works that will be presented at the conference will focus on the following topics: 5G/6G technologies, applications and services for IoE Cyber-Physical Systems Internet of Things Vehicle Network Maritime, space and underwater communications Safety and security for IoE Petri Net Theory and System Fog computing, edge computing, and cloud-edge collaborative computing The next-generation communication technology to 5G or 6G Self-grouping network with Low power Big data in bandwidth for City Brain New hardware and protocol for reliable broadband communication Network management for wireless broadband networks Privacy-aware secured protocols for cross-layer operations Deep learning for safety and security broadband communication Emergence-driven network engineering communication and computation Interoperability of heterogeneous networks under broadband communications
由 Dou Sun 最后更新于

相关期刊

CCF全称影响因子出版商ISSN
Digital Communications and Networks7.5Elsevier2352-8648
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 Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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