Información de la conferencia

MLUS 2027: International Conference on Machine Learning and Unmanned Systems

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MLUS
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Día de Entrega:
2027-03-13 Faltan 175 días
Fecha de Notificación:
2027-04-13
Fecha de conferencia:
2027-05-28
Ubicación:
Hangzhou, China
Ediciones:
Vistas: 1898   Seguidores: 0   Asistentes: 0

Índice Conference Partner (CP-I)

43,4 / 100
Puesto n.º 3.596 de 5.682 congresos · 64% superior

N.º 247 de 469 en Robótica y control N.º 456 de 739 en Inteligencia artificial y aprendizaje automático

Reconocimiento académico (35%) Sin datos: se puntúa con la línea base neutra de 50 —
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
30
Atención de la comunidad (10%)
17
Integridad del registro público (15%)
55

Datos utilizados: Ediciones documentadas: 2 · Investigadores que abrieron esta página en los últimos 24 meses: 9

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Premios al mejor artículo (+2,3)
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Confianza 45 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-19

Solicitud de Artículos

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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