lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods
Existing fire detection equipment is costly, interference-sensitive, and has limited coverage.Direction: Sensing, Recognition, and Prediction Methods
Environmental Detection, Quality Monitoring, and Anomaly Identification Methods
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28
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7
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2023
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7 items
lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods
Electrical tomography in industrial monitoring struggles to accurately detect internal structural details.UbiComp '22Use of the two-stage neural system in industrial electrical tomography - hybrid approach
lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods
Existing systems struggle to accurately predict sudden air quality changes, affecting decision-maker response efficiency.UbiComp '21TIP-Air: Tracking Pollution Transfer for Accurate Air Quality Prediction
lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods
Under smart city monitoring, smoke is difficult to detect accurately under foggy conditions.UbiComp '21Dark-Channel Mixed Attention Based Neural Networks for Smoke Detection in Fog Environment
lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods
Consumers cannot detect internal fruit quality at low cost and with high accuracy.UbiComp '21Wi-Fruit: See Through Fruits with Smart Devices
lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods
Airports and military facilities struggle to detect and identify potential drone threats under low visibility.UbiComp '21DronePrint: Acoustic Signatures for Open-set Drone Detection and Identification with Online Data
lightbulbPractical problemEnvironmental Detection, Quality Monitoring, and Anomaly Identification Methods
Manual counting of IV drip rates by nurses is time-consuming and error-prone.UbiComp '21DropMonitor: Millimeter-level Sensing for RFID-based Infusion Drip Rate Monitoring
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