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FiCloud 2027: International Conference on Future Internet of Things and Cloud

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截稿日期:
2027-03-10 还有 164 天
通知日期:
2027-05-25
会议日期:
2027-08-16
会议地点:
Prague, Czech Republic
届数:
浏览: 28384   关注: 4   参加: 0

会伴指数 (CP-I)

53.1 / 100
全站第 1,051 名 / 共 5,687 个会议 · 前 19%

网络与通信 第 151 / 864

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
73
社区关注 (10%)
28
资料公开度 (15%)
55

用到的输入: 有据可查的届次：14 · 在会伴关注它的研究者：4 人 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 历年录用率 (+4.5) · 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 45% —— 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 2026-09-26

征稿

FiCloud 2027 (International Conference on Future Internet of Things and Cloud) is an academic conference held in Prague, Czech Republic on 2027-08-16. The paper submission deadline is 2027-03-10. Acceptance notifications are sent on 2027-05-25.

The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. The conference comprises a set of carefully selected tracks that focus on the particular challenges regarding mobile Web and intelligent information systems. Topics of conference include (but not limited to): Track: Security, Privacy and Trust IoT and cloud security; Privacy issues; Service Reliability in cloud and IoT; Accountability and audit; Authentication and authorization; Cryptography; Identity theft; Data loss or leakage; Trust management; Fraud Detection. Track: AI and Machine Learning Application of AI in cloud and IoT; Intelligent data processing; Reinforcement learning; Generative models; Feature Extraction; Neural Networks; Supervised/Unsupervised Machine Learning; Anomaly Detection; Pattern Recognition. Track: Big Data, Cloud and IoT Big data; NoSQL databases; Data mining; Data analytics; Storage architectures; Querying and Searching; Data quality; Data and Process Modeling; Tiny/small databases for IoT; Sensor data and stream analytics; Ontologies. Track: Software Systems and Services Software architectures; Programming models; Services provisioning and management; Requirements analysis and modelling; Service integration; SaaS, IaaS, PaaS; QoS in Cloud and IoT; SOA for Cloud and IoT, Context-awareness in cloud and IoT. Track: Distributed Systems and Networks Distributed systems, Parallel Programming, Blockchain, Transmission protocols; Models and algorithms; Communication protocols for datacentres; Software defined networks; P2P and overlay networks. Track: Performance Modelling & Evaluation Performance modelling in cloud and IoT; Evaluation techniques; Performance monitoring; Scheduling and application workflows; Scalability in cloud and IoT; Fault monitoring; Capacity planning and elasticity. Track: Energy Efficiency and Sustainable Computing Energy efficient services; Sustainable computing, Energy efficient resource utlization; Data storage and processing; Energy-efficient networking; Energy metrics and benchmarks; Energy-efficient hardware. Track: Fog and Edge Computing Fog and edge computing models, Cloud at Edges; IoT and network edges; IoT data at network; Infrastructure for Fog/Edge; Middelware for Fog/Edge computing; Qos in Fog/Edge computing. Track: Industry Practical applications of cloud/IoT; Industry case studies; Cloud/IoT and Industry 4.0.
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