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ICIACS 2027: International Conference on Innovations and Advances in Cognitive Systems

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ICIACS
Día de Entrega:
2026-11-29 Faltan 138 días
Fecha de Notificación:
2026-12-26
Fecha de conferencia:
2027-03-01
Ubicación:
Kangeyam, India
Vistas: 21   Seguidores: 0   Asistentes: 0

Solicitud de Artículos

ICIACS 2027 (International Conference on Innovations and Advances in Cognitive Systems) is an academic conference held in Kangeyam, India on 2027-03-01. The paper submission deadline is 2026-11-29. Acceptance notifications are sent on 2026-12-26.

This conference is open for worldwide discussion of various integration schemes of cognitive engineering, along with completely new ideas and revolutionary approaches, that will be evaluated and will allow us to break the barriers, enabling a transition to the next-generation cognitive systems. Track 1: Intelligent Information Processing Information granulation and abstraction methods Fuzzy sets, rough sets, and interval computing Granular neural networks and learning models Granular data mining and knowledge discovery Granular reasoning and decision support systems Uncertainty modeling using granular approaches Granular computing for big data analytics Hybrid granular–AI models Explainable AI using granular structures Track 2: Human-Centered Cognitive Systems Cognitive modeling and human-in-the-loop systems Human–computer interaction and cognitive ergonomics Granular approaches for modeling human perception Cognitive decision-making and adaptive interfaces Trust, transparency, and explainability in cognitive systems Human–AI collaboration and augmentation User-centric system design and evaluation Cognitive workload and performance assessment Intelligent assistive and rehabilitation systems Track 3: Next-Generation Cognitive Systems Systems modeling and system-of-systems engineering Cybernetic principles in intelligent systems Self-adaptive and autonomous cognitive systems Cyber-physical and socio-technical systems Control and optimization of complex systems Granular system theory and hierarchical modeling Intelligent robotics and autonomous agents Resilient and secure cognitive systems Learning and evolution in complex systems
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