Información de la conferencia

ICDLA 2026: International Conference on Deep Learning and Automation

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Día de Entrega:
2026-07-24
Fecha de Notificación:
Fecha de conferencia:
2026-08-03
Ubicación:
Guilin, China
Ediciones:
1
Vistas: 1512   Seguidores: 0   Asistentes: 0
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Índice Conference Partner (CP-I)

38,6 / 100
Puesto n.º 5.388 de 5.693 congresos · 95% superior

N.º 431 de 470 en Robótica y control N.º 699 de 742 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%)
19
Atención de la comunidad (10%)
21
Integridad del registro público (15%)
35

Datos utilizados: Ediciones documentadas: 1 · Investigadores que abrieron esta página en los últimos 24 meses: 16

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
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Solicitud de Artículos

ICDLA 2026 (International Conference on Deep Learning and Automation) is an academic conference held in Guilin, China on 2026-08-03. The paper submission deadline is 2026-07-24.

About ICDLA 2026 The 2026 Digital Intelligence Frontier Academic Week–Guilin will take place from August 3 to 8, 2026, in Guilin, China. This premier event brings together multiple international cutting-edge conferences, focusing on deep learning, automation technologies, artificial intelligence, large language models, and intelligent systems. It aims to establish a distinguished, interdisciplinary exchange platform for scholars worldwide to jointly explore the scientific frontiers and industrial future of the digital intelligence era. As one of the major conferences of the Academic Week, the 2026 International Conference on Deep Learning and Automation (ICDLA 2026) will take place on August 4, 2026. At a time when the core driving force of AI is deeply integrated with industrial transformation, deep learning is leading automation technology into a new phase where perception, decision-making, and control are integrated. From highly adaptive intelligent manufacturing systems, to clusters of intelligent robots capable of understanding complex environments, to large-scale collaborative optimization in smart cities and smart grids, the integration of deep learning and automation is reshaping traditional industrial landscapes and expanding new frontiers in scientific research and engineering applications. ICDLA 2026 aims to gather global intelligence for in-depth discussions around core topics including deep learning models and algorithms, and intelligent automation systems. The conference will provide an international, high-end platform for scholars, engineers, and industry leaders worldwide: Here, you can share your latest research findings and demonstrate academic influence; engage in face-to-face exchanges with top experts in the field to spark innovative ideas; expand international collaboration networks and promote substantive scientific partnerships; and accurately grasp disciplinary development trends to gain insights into future research directions. The topics of interest for submission include, but are not limited to: ◕ Track1: Deep Learning Models and Algorithms Recurrent Neural Networks Sparse Coding Neuro-Fuzzy Algorithms Evolutionary Computation Methods Convolutional Neural Networks Deep Hierarchical Networks Unsupervised Feature Learning Deep Boltzmann Machines Generative Adversarial Networks, Autoencoder Deep Belief Networks Meta-Learning and Deep Networks Deep Reinforcement Learning Deep Generative Model Learning Deep Kernel Learning Gaussian Processes in Machine Learning Large-Scale Model Deployment Lightweight Models Generative Automation Federated Intelligence ◕Track2: Intelligent Automation Systems Scientific Research Agents Industrial Intelligent Manufacturing Intelligent Robotics Automated Inspection Cyber-Physical Systems Unmanned Systems Process Automation Intelligent Sensing and Fusion Automated Scheduling Edge Intelligence Human-Machine Collaborative Systems Medical Automation Energy Automation Multimodal Automated Perception Intelligent Decision-Making Cross-Domain Automation Real-Time Intelligent Scheduling Trustworthy Automation Verification Edge Collaborative Automation Dynamic Scenario Automation Human-Machine Collaborative Decision-Making Publication All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
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