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AICON 2026: EAI International Conference on Artificial Intelligence for Communications and Networks

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투고 마감일:
2026-09-15 마감됨
통보일:
2026-10-06
개최일:
2026-11-20
개최지:
Phu Quoc Island, An Giang, Vietnam
개최 횟수:
조회: 16083   팔로우: 1   참가: 0
마감 카운트다운 배지 삽입
AICON
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회반 지수 (CP-I)

48.2 / 100
전체 5,763개 중 2,124위 · 상위 37%

인공지능·기계학습 분야 752개 중 233위 네트워크·통신 분야 874개 중 318위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
52
커뮤니티 관심도 (10%)
20
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 6 · 회반에서 팔로우 중인 연구자: 1명 · 지난 24개월 동안 이 페이지를 연 연구자: 5명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-10-30

논문 모집

AICON 2026 (EAI International Conference on Artificial Intelligence for Communications and Networks) is an academic conference held in Phu Quoc Island, An Giang, Vietnam on 2026-11-20. The paper submission deadline is 2026-09-15. Acceptance notifications are sent on 2026-10-06.

Scope The 6th EAI International Conference on Artificial Intelligence for Communications and Networks (AICON 2026) brings together researchers, engineers, and practitioners to explore cutting-edge advancements in Artificial Intelligence and its transformative applications in communications, networks, and beyond. As AI continues to reshape industries and society, this conference provides a premier platform for interdisciplinary discussions on theoretical foundations, emerging technologies, and real-world applications of AI. AICON 2026 focuses on the convergence of AI with communication systems, network infrastructures, and autonomous machine intelligence. The conference addresses critical challenges including AI-driven optimization for next-generation networks (5G/6G), intelligent autonomous systems, multimodal AI, large language models, and AI agents. We also explore AI applications across diverse domains such as healthcare, education, agriculture, aquaculture, environment, smart cities, and e-commerce Special emphasis is placed on emerging paradigms including federated learning, edge AI, quantum machine learning, and neuromorphic computing. The conference also addresses crucial aspects of AI ethics, safety, security, and societal impact, ensuring responsible AI development and deployment. We welcome researchers and practitioners from technical fields, social sciences, and economics to participate in our interdisciplinary discussions. Papers describing theoretical advances, novel algorithms, advanced prototypes, systems, tools, and applications are encouraged. Topics Track 1: AI Core Technologies – Machine Learning / Deep Learning – Reinforcement Learning – Large Language Models (LLMs) – Generative AI – Foundation Models – AI Agents / Agentic AI – Multimodal AI – Evolutionary Computing – Knowledge Representation – Explainable AI (XAI) – Federated Learning – AI Safety & Alignment Track 2: AI Hardware & Infrastructure – Edge AI / TinyML – AI Hardware & Accelerators (GPU, TPU, NPU) – Neuromorphic Computing – Quantum AI / Quantum Machine Learning Track 3: Autonomous Machine Intelligence – Autonomous Vehicles / Self-driving Systems – Autonomous Robots & Robotics – Multi-agent Systems – Swarm Intelligence – Intelligent Agents – Autonomous Drones / UAVs – Edge AI for Autonomous Systems – Human-Robot Interaction – Perception & Reactive AI Systems Track 4: AI for Communications – AI in Wireless Communications – AI in Signal Processing – AI in Satellite Communications – AI in Mobile Communications (5G/6G) – AI in UAV-assisted Communications – AI in Optical Communications Track 5: AI for Networks – AI for Network Optimization – AI for Network Security & Cybersecurity – AI in Software-Defined Networking (SDN) – AI in Internet of Things (IoT) Networks – AI in Ad-hoc & Delay-tolerant Networks – AI in Cloud/Edge Computing Networks Track 6: AI in Multimedia – AI in Image Processing & Computer Vision – AI in Video Analytics – AI in Speech & Audio Processing – AI in Natural Language Processing (NLP) – AI in Content Generation & Creative AI – AI in Virtual/Augmented Reality (VR/AR) – AI in Gaming & Entertainment Track 7: AI Applications in Domain-Specific Areas – AI in Healthcare & Medical Systems – AI in Agriculture & Smart Farming – AI in Aquaculture & Fisheries – AI in Environment & Climate – AI in Energy & Smart Grid – AI in Transportation & Logistics – AI in Smart Cities – AI in Manufacturing & Industry 4.0 – AI in Education & E-learning – AI for Science (AI4Science) – Digital Twins with AI Track 8: AI in Economics, Finance & E-commerce – AI in Economic Modeling & Forecasting – AI in Financial Systems & FinTech – AI in E-commerce & Recommendation Systems – AI in Business Intelligence – AI in Supply Chain Management – AI in Marketing & Customer Analytics – AI and Productivity in Organizations Track 9: AI Ethics, Security & Society – Privacy and Security in AI – Adversarial AI & Deep Fakes – Ethical AI & Biases – AI Governance & Regulation – Copyright Issues in Generative AI – Societal Impact of AI – Human Factors in AI – Future of Work in AI Era
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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
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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