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ICICyTA 2026: International Conference on Intelligent Cybernetics Technology & Applications

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ICICyTA
截稿日期:
2026-08-10 还有 29 天
通知日期:
2026-09-10
会议日期:
2026-12-01
会议地点:
Bali, Indonesia
届数:
6
浏览: 16   关注: 0   参加: 0

征稿

ICICyTA 2026 (International Conference on Intelligent Cybernetics Technology & Applications) is an academic conference held in Bali, Indonesia on 2026-12-01. The paper submission deadline is 2026-08-10. Acceptance notifications are sent on 2026-09-10.

The 6th ICICyTA 2026 carries a theme of "Convergence of Cybernetics, Machine Intelligence, and Emerging Technologies". Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplores scope and quality requirements. We invite researchers to submit high-quality and unpublished research papers in the fields of cybernetics, computational intelligence, Internet of Things (IoT), biomedical engineering and applications, but not limited to. Cybernetics & Biomedical Engineering Data mining for software engineering Requirement Engineering and Software Produce Line Engineering Testing Verification & Validation Biomedical Instrumentation and Embedded System Biomedical modelling, simulation and analysis Biosignal Processing and Classification Biomechanics and Rehabilitation Biomeasurements and biosensing systems Artificial and hybrid organs Medical Information Systems Cybernetics and Information Systems for Business and Industry Applications Information Systems Human Computer Interaction Enterprise Information System Business Intelligence Gamification Augmented Reality & Virtual Reality ICT in Smart Tourism & Infrastructure Hospitality ICT in Education Cybernetics and Internet-of-Things (IoTs) Blockchain & Cyber security Internet of Things (IoT) Network system Cloud computing Complex Network Cloud, IoT and Robotics Integration Machine Vision Knowledge Acquisition in Intelligent Computational Intelligence & Cybernetics Big Data & Data Analytics Computational Intelligence Expert and Knowledge-Based Systems Biometric Systems and Bioinformatics Soft and Evolutionary Computing Machine Learning Data Mining Data Clustering and Classifications Statistical Model in Data Science Machine Learning in Data Science Vision and Future Directions of Data Science Tools, Data Visualization and Applications in Data Science
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