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CyberC 2025: International Conference on Network-based Distributed Computing and Knowledge Discovery

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CyberC
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投稿締切日:
2025-07-30 Extended
通知日:
開催日:
2025-10-17
開催地:
Taiyuan, China
開催回数:
17
閲覧: 32674   フォロー: 14   参加: 2

会伴インデックス (CP-I)

52.0 / 100
全 5,687 件中 第 1,210 位 · 上位 22%

データマイニング・データベース 分野 337 件中 第 61 位 システム・アーキテクチャ 分野 341 件中 第 138 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%)
78
コミュニティの注目度 (10%)
37
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：17 · 会伴でフォローしている研究者：14 人 · 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 2026-09-26

論文募集

CyberC 2025 (International Conference on Network-based Distributed Computing and Knowledge Discovery) is an academic conference held in Taiyuan, China on 2025-10-17. The paper submission deadline is 2025-07-30 (extended).

CyberC – International Conference on Cyber-enabled distributed computing and knowledge discovery – is to promote research and collaboration on the cyber-related technology. Paper submission: EDAS (https://edas.info/N33626) or Send PDF to [email protected] Submission due date: May 31, 2025 CyberC promotes the research areas covered by the following tracks: Track 1: AI Computing Machine Learning, Deep Learning, Autonomy, and Intelligence Supervised, Unsupervised, and Reinforcement Learning Deep Learning Architectures (CNNs, RNNs, Transformers, GANs) Explainable AI (XAI) and Trustworthy AI Meta-Learning, Few-Shot Learning, and Self-Supervised Learning AI Fairness, Ethics, and Bias Mitigation Large Language Models (LLMs) and Multimodal AI Text Generation, Summarization, and Machine Translation Sentiment Analysis and Opinion Mining Conversational AI and Chatbots Information Retrieval and Knowledge Graphs AI/ML for Robotics & Autonomous Systems AI/ML Applications in Science & Industry AI/ML for Data analytics, social media, and web mining AI for Web computing, intelligent and knowledge based systems Track 2: Cyber Communications Next-Generation Wireless Networks (5G, 6G, and Beyond) Massive MIMO, Beamforming, and Millimeter-Wave Technologies AI/ML for Wireless Communication and Network Optimization Terahertz (THz) Communication and Free-Space Optics Sensor, IoT Connectivity and Communication Protocols Edge, Fog Computing, and Cloud Computing Low-Power Wide-Area Networks (LPWAN) and Ultra-Reliable Low-Latency Communication (URLLC) AI-Enabled Software/Cognitive Radio Networks Vehicular, UAV, and Satellite Communications Wireless Sensing, Localization, and Positioning Green & Sustainable Wireless Networks Quantum communications, and network computing resources Quantum Computing Spectrum sensing, fusion, decision-making and allocation Signaling process, PHY/link layer protocols and optimization Track 3: Computer Vision Image Classification, Object Detection, and Segmentation 3D Reconstruction and Scene Understanding Video Analysis and Action Recognition Image and Video Synthesis (GANs, Diffusion Models) Multimodal Learning and Vision-Language Models Transformer Models for Vision (ViTs, Swin, DINO) Self-Supervised and Few-Shot Learning for Vision Explainable AI (XAI) for Vision Applications Adversarial Robustness in Deep Vision Models AI in Medical Imaging and Radiology Image-Guided Surgery and Diagnostics Remote Sensing and Geospatial Vision Applications Vision for Autonomous Vehicles and UAVs SLAM (Simultaneous Localization and Mapping) Human-Robot Interaction and Assistive Vision AI for Image Enhancement and Super-Resolution Deepfake Detection and Synthetic Media Analysis Computational Imaging and Light Field Processing Augmented reality and virtual reality Multispectral, and hyperspectral imaging Track 4: Security and Privacy Network and System Security AI-Powered Cyber Threat Detection & Response Malware Analysis and Intrusion Detection Zero-Trust Architecture and Adaptive Security Differential Privacy and Federated Learning Secure Multi-Party Computation and Homomorphic Encryption Blockchain and Decentralized Privacy Models Data Anonymization and De-Identification Cryptographic Protocols and Key Management Secure Cloud Computing and Storage Secure Authentication and Access Control Adversarial Machine Learning and AI Robustness AI for Cyber Threat Intelligence and Incident Response Deepfake and Synthetic Media Detection AI Governance, Ethics, and Fairness in Security Quantum Security and Cryptanalysis Privacy in Metaverse and Extended Reality (XR) Secure AI and Privacy-Preserving Generative Models
最終更新：Jianhua Wang（）

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