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MLUS 2027: International Conference on Machine Learning and Unmanned Systems

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MLUS
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투고 마감일:
2027-03-13 175일 남음
통보일:
2027-04-13
개최일:
2027-05-28
개최지:
Hangzhou, China
개최 횟수:
조회: 1897   팔로우: 0   참가: 0

회반 지수 (CP-I)

43.4 / 100
전체 5,682개 중 3,596위 · 상위 64%

로보틱스·제어 분야 469개 중 247위 인공지능·기계학습 분야 739개 중 456위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
30
커뮤니티 관심도 (10%)
17
공개 자료 충실도 (15%)
55

사용한 입력: 확인되는 개최 횟수: 2 · 지난 24개월 동안 이 페이지를 연 연구자: 9명

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 1.1 · 산출일 2026-09-19

논문 모집

MLUS 2027 (International Conference on Machine Learning and Unmanned Systems) is an academic conference held in Hangzhou, China on 2027-05-28. The paper submission deadline is 2027-03-13. Acceptance notifications are sent on 2027-04-13.

The topics of interest for submission include, but are not limited to: Track 1: Machine Learning Theory & Algorithms Supervised and unsupervised learning Deep learning architectures Reinforcement learning Transfer learning and domain adaptation Federated learning Graph neural networks Generative adversarial networks Explainable and interpretable AI Large-scale model training Model compression and distillation Multimodal learning Few-shot and zero-shot learning Probabilistic and Bayesian methods Online and incremental learning Benchmarking and evaluation methodologies Track 2: Perception & Sensing for Unmanned Systems Image recognition and classification Object detection and tracking Scene understanding and semantic segmentation 3D vision and reconstruction LiDAR and depth sensing Multispectral and infrared imaging Point cloud processing Visual navigation and localization Sensor fusion and integration Multimodal perception systems Real-time perception and edge processing Anomaly and fault detection Event-based and neuromorphic vision Adverse-condition perception Synthetic data and simulation for perception Track 3: Communication & Networking UAV and ad-hoc communication networks Signal processing and optimization Image and video transmission Multi-channel data fusion Cooperative communication protocols Low-power and energy-efficient communication Self-organizing and mesh networks Interference suppression and robustness Integrated space-air-ground networks Cognitive radio and dynamic spectrum access 5G/6G-enabled communication Delay-tolerant networking Network security and resilience Communication-aware path planning Quantum communication and security Track 4: Control & Autonomous Systems Intelligent and adaptive control Distributed and decentralized control Path planning and obstacle avoidance Trajectory optimization Swarm intelligence and cooperative control Robust and fault-tolerant control Model predictive control Real-time decision-making and scheduling Human-machine collaborative control Multi-agent systems and coordination Learning-based control Game-theoretic decision-making Event-triggered and hybrid control Control system security Digital twin for control and validation Track 5: System Integration & Applications Intelligent transportation and autonomous logistics Environmental monitoring and disaster response Industrial inspection and automation Smart manufacturing Healthcare robotics and medical monitoring Smart cities and infrastructure inspection Precision agriculture and forestry Marine and underwater exploration Energy systems and grid monitoring Security, surveillance, and defense Modular and reconfigurable systems Hardware-software co-design Field deployment and operational experience Open-source platforms and benchmarking Standardization and regulatory frameworks Track 6: AI Frontiers & Interdisciplinary Exploration Embodied AI and simulation-to-real transfer Large language models for unmanned systems Edge AI and on-device intelligence Brain-computer interfaces Human-robot interaction Quantum machine learning Metaverse and virtual simulation Cross-domain data fusion Novel sensors and materials Green AI and sustainable computing AI safety and robustness Ethical AI and responsible innovation Privacy and trust in unmanned systems Causal inference and reasoning Interdisciplinary methodologies and paradigms
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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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