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ICCSCT 2026: International Conference on Computer Systems and Communication Technology

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投稿締切日:
2026-10-15 締切済み
通知日:
2026-11-10
開催日:
2026-12-12
開催地:
Hong Kong, China
開催回数:
閲覧: 15504   フォロー: 0   参加: 0
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ICCSCT
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会伴インデックス (CP-I)

49.2 / 100
全 5,768 件中 第 1,889 位 · 上位 33%

システム・アーキテクチャ 分野 342 件中 第 180 位 ネットワーク・通信 分野 874 件中 第 276 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%)
59
コミュニティの注目度 (10%)
16
公開情報の充実度 (15%)
55

使用した入力: 確認できる開催回数：8 · 過去 24 か月にこのページを開いた研究者：8 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
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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 1.2 · 算出日 2026-11-04

論文募集

ICCSCT 2026 (International Conference on Computer Systems and Communication Technology) is an academic conference held in Hong Kong, China on 2026-12-12. The paper submission deadline is 2026-10-15. Acceptance notifications are sent on 2026-11-10.

The topics of interest for submission include, but are not limited to: Artificial Intelligence •Adaptive systems •AI Agents and Intelligent Search •Intelligent control •AI for Software Engineering and Intelligent Programming •Artificial Intelligence and Evolutionary Algorithms •Intelligent Robotics •Inductive learning •Deep Learning and Foundation Models •Information retrieval •Networking and information security •Information fusion •Computer Vision and Robotics •Visual information processing •Business intelligence •Agentic AI and Multi-Agent Systems •Pattern Recognition and Machine Learning •Hybrid and nonlinear system •Fuzzy set theory, fuzzy control and system •Intelligent and knowledge based system •Hybrid Intelligent systems •Media computing •Generative AI, Large Language Models and AI Applications Image Processing •Image processing algorithms and techniques •Image security and privacy protection •Multimodal Learning and Vision-Language Models •Image processing applications (such as autonomous driving, intelligent transportation systems, medical field, etc.) •Integration of images with Virtual Reality (VR) / Augmented Reality (AR) •Stereoscopic, multi-view, and 3D processing •Color, multispectral, and hyperspectral imaging •Human-computer interaction and visualization •Image storage and security management •3D reconstruction •Document analysis and processing •Deep Learning and Foundation Models for Image and Video Processing •3D and surface reconstruction •Medical image processing •Generative AI for Image and Video Synthesis •Vision-Language Models / Multimodal Foundation Models Big Data •Big Data analysis management •Big Data applications/Big Data as a service •Big Data services and application development methods and tools •Big Data for vertical industries (including government, healthcare, environment, finance) •Big Data persistence and preservation •Big Data quality evaluation and assurance technologies •Data mining and data science •Data and Information Quality •Data Modeling and Visualization •Privacy-Preserving Data Analytics and Federated Learning •Modeling and Managing Large Data Systems Open Data •Real-world and large-scale practices of big data •Foundation Models and Generative AI for Big Data •The convergence of Artificial Intelligence and Big Data •Data standardization and interoperability Internet of Things (IoT) • B5G/6G and AI-Native Communications for IoT •Energy management and low-power design for IoT devices •Intelligent Sensing, Sensor Fusion and Integrated Sensing and Communication (ISAC) •The application of big data technologies in the Internet of Things •Real-time data analysis and decision support systems •Application areas of the Internet of Things (smart cities, smart healthcare, etc.) •Communication standards among IoT devices •Interoperability across platforms and systems •Security standards and best practices for the Internet of Things •The application of machine learning and deep learning in the Internet of Things •Agentic AI and Autonomous Decision-Making for IoT •Edge-Cloud-IoT Computing and Intelligent Orchestration Computer Systems and Engineering •Green Industrial and Service systems •High-Performance and AI Computing Systems •Industrial Engineering Education and E-Learning •Programming Languages and Techniques •Embedded, Edge and AI Computing Systems •AI for Software Engineering and Intelligent Software Systems •Digital Twins, Simulation and Intelligent Modeling •Decision Support System and Models •Risk and Security Management System •E-Commerce and E-Government •Service Systems including Energy, Transportation, Communication Utilities and Environmental Control •Cloud-Edge Computing and AI Infrastructure Communication Technology •Network and Wireless Communication •VLSI Circuits and Systems Design •Data Communications and Networking •Information Hiding and Watermarking •Wireless Sensor Networks and IoT Communications •AI-Native Networks and Intelligent Network Optimizatio •Integrated Sensing and Communication (ISAC) •Secure and Privacy-Preserving Communications •Intelligent Mobile and Edge Device Design
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