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January 1, 2026International Journal of Complexity in Applied Science and TechnologyOpen Access

Quantum AI-Driven Cloud Framework for Intelligent Urban Surveillance

Ranjan Kumar Mandal N.A.

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Key Points

The aim is to develop an advanced framework for urban surveillance using quantum AI technology.
Develop a quantum AI-driven cloud architecture for processing surveillance data.
Integrate intelligent systems for real-time monitoring and analysis.
Utilize machine learning algorithms for data interpretation.
Improved accuracy and efficiency in urban surveillance monitoring.
Real-time data processing capabilities enhance response times.
Increased detection rates of unusual activities.

Implication

This framework utilizes quantum AI to enhance urban surveillance systems, suggesting improved monitoring capabilities.

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Cite This Study

Ranjan Kumar Mandal N.A. (2026) studied this question.

synapsesocial.com/papers/69a3ddf3ec16d51705d30508 https://doi.org/10.1504/ijcast.2026.10076619

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