Información de la conferencia

IC-IDC 2027: International Conference on Intelligent Design and Computing

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IC-IDC
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Día de Entrega:
2027-03-01 Faltan 169 días
Fecha de Notificación:
2027-04-02
Fecha de conferencia:
2027-05-14
Ubicación:
Wuhan, China
Ediciones:
2
Vistas: 19   Seguidores: 0   Asistentes: 0

Solicitud de Artículos

IC-IDC 2027 (International Conference on Intelligent Design and Computing) is an academic conference held in Wuhan, China on 2027-05-14. The paper submission deadline is 2027-03-01. Acceptance notifications are sent on 2027-04-02.

The topics of interest for submission include, but are not limited to: Intelligent Mechatronic Design Mechatronics; Machine Learning; Artificial Intelligence; Automation Technology; Robotics Technology; Sensor Technology; Mechatronic Energy Efficiency; Energy Conversion; Reliability Analysis and Life Prediction of Mechatronic Products; Integration and Application of Internet of Things (IoT) Technology in Intelligent Mechatronic Equipment Intelligent Industrial Design Industrial Design; Intelligent Design; Intelligent Models; Human-Machine Systems; Human-Computer Interaction; Intelligent Products; Computer Control Systems; Communication Engineering; Automatic Testing and Fault Diagnosis Innovative Design Sustainable Design; Virtual Design; New Media Design; Integrated Design Intelligent Environmental Design Environmental Engineering Design; Regional and Urban Planning; Urban Intelligent Systems; Intelligent Transportation; Wearable Devices; Smart Pipelines; Intelligent Environmental Monitoring Digital Design Digital Product Modeling; Digital Design Systems; Digital Product Performance; Computer-Aided Assembly Design; Virtual Products; Design Automation Intelligent Building Design Intelligent Parks; Green Buildings; Intelligent Interior Design; Smart Home and Devices; Security System Design Computer Technology Artificial Intelligence; Virtual Reality; Computer Animation; Computer Modeling; Big Data Search; Information Retrieval Technology; Intelligent Information Fusion; Data Models and Methods
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