Environmental monitoring and pollution mitigation technologies

Designing swarm robotics algorithms inspired by cephalopod collective behavior

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Marrying ethology with swarm robotics for autonomous wildlife monitoring

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Quantum magnetometers detecting methane leaks at parts-per-trillion sensitivity

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Employing spectral analysis AI for real-time pollutant detection in urban air

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Targeting plastic-eating enzymes for enhanced polyethylene degradation in marine environments

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For earthquake prediction via distributed fiber-optic strain sensing networks

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Connecting bat echolocation principles with next-generation sonar technology for underwater navigation

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Predicting magma chamber eruptions through real-time monitoring of acoustic emissions and machine learning

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Autonomous methane detection drones for precision monitoring of landfill emissions

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Autonomous methane detection drones with real-time hyperspectral imaging for landfill monitoring

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Targeting plastic-eating enzymes for high-efficiency waste degradation in marine environments

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Spectral analysis AI for real-time detection of atmospheric microplastics using LIDAR

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