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MLICOM 2026: EAI International Conference on Machine Learning and Intelligent Communications

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투고 마감일:
2026-08-31 마감됨
통보일:
2026-09-20
개최일:
2026-11-07
개최지:
Sanya, China
개최 횟수:
조회: 16583   팔로우: 0   참가: 0
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MLICOM
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회반 지수 (CP-I)

49.4 / 100
전체 5,721개 중 1,812위 · 상위 32%

인공지능·기계학습 분야 743개 중 189위 네트워크·통신 분야 868개 중 261위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
62
커뮤니티 관심도 (10%)
12
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 9 · 지난 24개월 동안 이 페이지를 연 연구자: 4명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 최우수 논문 기록 (+2.3)
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신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.2 · 산출일 2026-10-19

논문 모집

MLICOM 2026 (EAI International Conference on Machine Learning and Intelligent Communications) is an academic conference held in Sanya, China on 2026-11-07. The paper submission deadline is 2026-08-31. Acceptance notifications are sent on 2026-09-20.

Scope Emerging artificial intelligence (AI) and machine learning (ML) technologies, coupled with advanced intelligent communications, are driving a paradigm shift across academic research and industrial applications. From multi-modality learning to federated intelligence, these technologies are not only revolutionizing wireless communication systems (e.g., physical layer optimization, intelligent decision-making, and secure data transmission) but also enabling deep integration with diverse fields such as healthcare, industry, manufacturing, education, culture, governance, and digital humanities. The integration of ML and intelligent communications breaks through traditional domain boundaries—for instance, realizing secure transmission of medical data via federated learning, optimizing industrial IoT communication for smart manufacturing, and facilitating cross-cultural humanistic exchange through intelligent language processing. MLICOM 2026 aims to build a comprehensive academic platform that bridges ML/AI algorithms, intelligent communication technologies, and cross-domain applications. We welcome high-quality original research papers (theoretical, experimental, or application-oriented) focusing on recent advancements, challenges, and innovative solutions at the intersection of ML and intelligent communications. By covering a broad spectrum of fields including digital humanities, the conference seeks to foster interdisciplinary dialogue among academia, industry, and public sectors, and serve as a catalyst for the development of next-generation intelligent communication systems and their practical deployments. Topics 1. ML & Intelligent Communications Foundations Intelligent cloud / edge / cloud-edge collaborative communications ML-driven resource allocation (spectrum, power, computation, bandwidth) Green and energy-aware intelligent communications (sustainable network design) Intelligent software-defined radios (SDR) and flexible communication architectures Intelligent massive MIMO, beamforming, and dynamic antenna configuration Cooperative and distributed coding & signal processing for intelligent networks Wireless sensor networks (WSN) and IoT: ML-optimized data transmission Satellite and radar communications: intelligent signal processing and anti-interference Cognitive radio networks: ML-based spectrum sensing and sharing Federated learning (FL) and distributed learning for secure communication systems Multi-modality learning for cross-media communication (text, image, audio, video) Pre-trained models and transfer learning in intelligent communications Generative AI for communication content generation and error correction ML-driven network security, privacy preservation, and trust management 2. Cross-Domain Applications of ML 2.1 Industry & Manufacturing Industrial IoT (IIoT) communication optimization for smart factories ML-driven predictive maintenance via real-time industrial data transmission Intelligent communication in collaborative robotics and automated production lines 2.2 Education & E-Learning Intelligent remote teaching communication platforms (adaptive bandwidth allocation) ML-based personalized learning: communication optimization for educational data Secure transmission of educational big data and cross-institutional collaboration AI-driven interactive communication tools 2.3 Government & Public Services Smart governance communication platforms Secure communication for e-government AI-driven traffic and transportation communication Environmental monitoring: ML-based communication for sensor networks 2.4 Other Emerging Applications Intelligent unmanned systems (vehicles, drones): communication and adaptive sensing Accessible communication: ML-optimized solutions for people with disabilities ML-based semantic communication and cultural adaptation Digital archaeology: communication optimization for remote sensing data AI-assisted preservation of endangered languages: intelligent speech and text communication ML-based analysis of humanistic communication patterns 3. Other Relevant Topics Datasets and evaluation metrics for ML-empowered intelligent communications Low-resource language processing in cross-lingual communication Edge AI for resource-constrained communication devices Quantum machine learning for next-generation secure communications Ethical and regulatory issues of AI-driven intelligent communications
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관련 학회

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
BMachine Learning2.9Springer0885-6125
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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