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Revolutionizing Pressure Sensors for Wild Migratory Bird Tracking

Scientists from the Aerospace Information Research Institute (AIR) at the Chinese Academy of Sciences (CAS) have introduced an enhanced algorithm known as Dynamic Quantum Particle Swarm Optimization (DQPSO) to enhance the precision and dependability of pressure sensors utilized in the tracking and monitoring of wild migratory birds.

Improved algorithm enhances precision of pressure sensors for wild bird tracking

Improved algorithm enhances precision of pressure sensors for wild bird tracking
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