会议信息

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

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截稿日期:
2026-09-10
通知日期:
2026-11-01
会议日期:
2026-12-08
会议地点:
San Antonio, Texas, USA
浏览: 430   关注: 0   参加: 0

会伴指数 (CP-I)

44.1 / 100
全站第 3,137 名 / 共 5,680 个会议 · 前 56%

网络与通信 第 488 / 864

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
13
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：5 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-11

征稿

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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