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FICN 2026: International Conference on Future and Intelligent Communication and Networking

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FICN
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투고 마감일:
2026-09-10
통보일:
2026-11-01
개최일:
2026-12-08
개최지:
San Antonio, Texas, USA
조회: 427   팔로우: 0   참가: 0

회반 지수 (CP-I)

44.1 / 100
전체 5,680개 중 3,137위 · 상위 56%

네트워크·통신 분야 864개 중 488위

근거가 제한적입니다: 이 학회는 CCF / ICORE / QUALIS 어디에도 수록되어 있지 않고 게재율 데이터도 없어, 점수의 대부분이 중립 기준값으로 되돌아갑니다.
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산
개최 횟수 (20%) 데이터 없음 — 중립 기준값 50점으로 계산
커뮤니티 관심도 (10%)
13
공개 자료 충실도 (15%)
35

사용한 입력: 지난 24개월 동안 이 페이지를 연 연구자: 5명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 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 25% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-11

논문 모집

FICN 2026 (International Conference on Future and Intelligent Communication and Networking) is an academic conference held in San Antonio, Texas, USA on 2026-12-08. The paper submission deadline is 2026-09-10. Acceptance notifications are sent on 2026-11-01.

Future and intelligent communication and networking represent a rapidly evolving field driven by the integration of advanced technologies such as artificial intelligence, machine learning, and next-generation wireless systems like 5G and beyond. As global connectivity demands continue to grow, modern networks are becoming more autonomous, adaptive, and capable of handling massive volumes of data in real time. These intelligent systems enable innovations across various domains, including smart cities, IoT ecosystems, autonomous transportation, and cloud-edge infrastructures. The convergence of communication technologies with intelligent decision-making is transforming how networks are designed, managed, and optimized, paving the way for more efficient, secure, and scalable digital environments. The International Conference on Future and Intelligent Communication and Networking (FICN 2026) invites researchers, academics, industry professionals, and practitioners to submit original and high-quality research papers addressing the latest advancements in communication systems and intelligent networking technologies. FICN 2026 aims to provide a global platform for sharing innovative ideas, emerging trends, and practical solutions in the fields of next-generation communication, artificial intelligence-driven networks, and smart connectivity systems. The conference will bring together experts from academia, industry, and government to foster collaboration and advance the state of the art in intelligent communication technologies. We invite the submission of original papers on all topics related to Intelligent Systems with special interest in but not limited to: Future and intelligent communication and networking Systems 5G, 6G, and Beyond Communication Systems Intelligent and Autonomous Networks AI/ML for Communication and Networking Internet of Things (IoT) and Industrial IoT Edge Computing and Fog Networking Software-Defined Networking (SDN) and Network Function Virtualization (NFV) Cloud and Distributed Networking Systems Cybersecurity and Privacy in Communication Networks Wireless Sensor Networks and Ad Hoc Networks Vehicular Networks and Smart Transportation Systems Network Optimization and Performance Evaluation Blockchain for Communication Networks Green Communication and Energy-Efficient Networking Quantum Communication and Future Internet Architectures Digital Twins and Smart Infrastructure Networking Artificial Intelligence for Communication and Networking Deep Learning, Representation Learning, and Transfer Learning Reinforcement Learning and Adaptive Systems Federated, Distributed, and Edge AI Reinforcement Learning and Autonomous Agents Federated Learning and Distributed AI Systems AI Applications and Intelligent Systems Scalable and High-Performance AI Architectures Edge AI, Cloud AI, and Embedded Intelligence Optimization and Resource-Aware AI Systems Natural Language Processing and Understanding Speech Recognition and Conversational Agents Multimodal Learning and Vision-Language Systems Knowledge Representation and Reasoning Data Mining, Knowledge Discovery, and Information Retrieval Automated Planning and Scheduling Generative AI, Foundation Models, and Large Language Models for Communication and Networking Applications Generative AI and Large Language Models (LLMs) Explainable and Responsible AI Federated, Distributed, and Edge AI Reinforcement Learning and Autonomous Agents AI for Decision Support Systems Natural Language Processing and Computational Linguistics Multilingual and Low-Resource Language Models Human-Computer Interaction (HCI) and Assistive Technologies Conversational AI and Dialogue Systems Computational Language and Human-Centered Systems Prompt Engineering and Fine-tuning Multimodal LLMs Agentic AI Image and Video Understanding Object Detection, Recognition, and Tracking Multimodal Learning and Vision-Language Systems 3D Vision and Scene Understanding Affective Computing and Emotion Recognition Future Communication and Networking Applications Robotics and Autonomous Systems AI for Healthcare, Smart Cities, and Transportation AI in Finance, Education, and Industry 4.0 AI for Cybersecurity, Privacy, and Digital Trust AI Infrastructure and Engineering Recommender Systems and Personalization AI for Social Good and Humanitarian Applications Emerging Trends and Future Directions in AI Systems Communication and Networking Security Responsible and Trustworthy AI Explainable AI and Transparency Ethical and Societal Implications of AI AI Safety, Robustness, and Security AI Policy, Regulation, and Governance
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AA*89.3STOCACM Symposium on Theory of Computing2025-11-042026-06-22
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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Future Internet3.6MDPI1999-5903
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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