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SCECS 2025: International Conference on Sensor-Cloud and Edge Computing System

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SCECS
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投稿締切日:
2025-02-03
通知日:
開催日:
2025-04-18
開催地:
Zhuhai, China
開催回数:
11
閲覧: 7488   フォロー: 0   参加: 0

会伴インデックス (CP-I)

47.2 / 100
全 5,693 件中 第 2,276 位 · 上位 40%

電気・電子工学 分野 511 件中 第 161 位 システム・アーキテクチャ 分野 341 件中 第 194 位

学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
67
コミュニティの注目度 (10%)
10
公開情報の充実度 (15%)
35

使用した入力: 確認できる開催回数：11 · 過去 24 か月にこのページを開いた研究者：3 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-10-05

論文募集

SCECS 2025 (International Conference on Sensor-Cloud and Edge Computing System) is an academic conference held in Zhuhai, China on 2025-04-18. The paper submission deadline is 2025-02-03.

The 11th International Conference on Sensor-Cloud and Edge Computing System (SCECS2025) will bring together leading researchers, engineers and scientists in the domain of interest from around the world. Topics of interest for submission include, but are not limited to: - Sensor Networks ·Sensor Network Protocol Design ·Data Fusion Algorithms ·Real-time Data Processing ·Low-power Sensor Technologies ·Data Quality Assessment ·Heterogeneous Sensor Networks ·Sensor Node Localization ·Self-organizing Sensor Networks ·Data Encryption ·Fault Tolerance in Sensor Networks ·Simulation and Modeling of Sensor Networks ·Mobile Sensor Networks ·Data Compression ·Machine Learning in Sensor Networks ·Data Transfer Protocols ·Data Privacy in Sensor Networks ·Energy Management in Sensor Networks ·Fault Detection and Recovery in Sensor Networks ·Cross-domain Applications of Sensor Networks ·Event Detection in Sensor Networks - Sensor cloud architecture ·Sensor Cloud Architecture Design ·Data Management in Sensor Cloud ·Virtualization Techniques ·Security Mechanisms in Sensor Cloud ·Quality Management of Sensor Cloud Services ·Integration of Sensor Cloud and Big Data Analytics ·Data Sharing and Access Control ·Development Framework for Sensor Cloud Applications ·Elasticity and Scalability in Sensor Cloud ·Automation Tools in Sensor Cloud ·Real-time Monitoring in Sensor Cloud ·Self-service of Sensor Cloud Services ·Large-scale Data Processing ·User Experience Design ·Cross-domain Data Integration in Sensor Cloud ·Multi-tenant Architectur ·Migration and Sharing Mechanisms ·Implementation of Machine Learning in Sensor Cloud ·Case Studies of Sensor Cloud Applications ·Collaborative Processing in Sensor Cloud - Data processing of sensor cloud ·Real-time Analysis of Sensor Data ·Historical Analysis of Sensor Data ·Processing Large-scale Sensor Data ·Data Visualization Techniques for Sensor Data ·Data Mining Algorithms for Sensor Data ·Machine Learning Applications in Sensor Data Analysis ·Anomaly Detection Methods for Sensor Data ·Cloud-based Analysis of Sensor Data ·Predictive Modeling of Sensor Data ·Clustering Analysis of Sensor Data ·Sensor Data in Complex Event Processing ·Sensor Data and User Behavior Analysis ·Multidimensional Analysis of Sensor Data ·Real-time Query Optimization of Sensor Data ·Multisource Fusion Techniques for Sensor Data ·Analysis and Processing of Sensor Data Streams ·Semantic Analysis of Sensor Data ·Security Analysis of Sensor Data ·Sensor Data Analysis in IoT Environments ·Case Studies of Typical Sensor Data Applications - Architecture and optimization of edge computing · Edge Computing Framework Design · Edge Computing Resource Management · Virtualization of Edge Nodes · Quality of Service in Edge Computing Services · Cooperation between Edge and Cloud Computing · Network Protocols for Edge Computing · Fault Management in Edge Devices · Load Balancing in Edge Computing · Dynamic Scheduling of Edge Computing Services · Data Caching in Edge Computing · Edge Intelligence and Machine Learning · Edge AI for Edge Computing · Edge Network Slicing · IoT Enabled by Edge Computing · Data Stream Processing · Application Development in Edge Computing Environments · Resource Scheduling Algorithms · Network Performance Optimization in Edge Computing · Latency Optimization in Edge Computing · Bandwidth Management Strategies - Intelligent algorithm of edge computing ·Intelligent Perception Algorithms ·Deep Learning Applications in Edge Environments ·Adaptive Learning Techniques in Edge Computing ·Data Mining in Edge Computing ·Reinforcement Learning in Edge Computing ·Integration Methods for Edge Intelligence Algorithms ·Predictive Models for Edge Computing ·Automated Decision-making in Edge Computing ·Optimization Algorithms in Edge Computing ·Feature Extraction in Edge Computing Scenarios ·Image Processing Techniques in Edge Computing ·Natural Language Processing in Edge Computing ·Real-time Data Analysis in Edge Computing ·Heterogeneous Intelligent Algorithms in Edge Computing ·Edge Computing and Distributed Learning ·Sensor Fusion in Edge Computing ·Image Recognition in Edge Computing ·Anomaly Detection in Edge Computing ·Sentiment Analysis in Edge Computing ·Multimodal Learning in Edge Computing - Security and Privacy Protection · Data Security Strategies in Edge Computing · Information Privacy Protection in Edge Computing Environments · Encryption Techniques for Sensor Data · Authentication Mechanisms in Edge Computing · Impact of Network Attacks on Edge Computing · Blockchain Applications in Edge Computing · Security Assessment of Sensor Cloud · Risk Management in Edge Computing Environments · Secure Communication for IoT Devices · Security Protocol Design in Edge Computing · Data Privacy and Compliance · Privacy-preserving Technologies in Edge Computing · Security Auditing in Edge Computing · AI Applications in Security Protection · Access Control in Edge Computing Environments · Privacy Leakage Analysis in Cloud and Edge Computing · Security Monitoring in Edge Computing · Trust Mechanisms between Sensors and Edge Devices · Defense Mechanism Design in Edge Computing · Risk Assessment and Management in Sensor Cloud
最終更新：Dou Sun（）

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