lightbulb现实痛点环境检测、质量监测与异常识别方法护士人工计数输液滴速既费时又容易出错。UbiComp '21DropMonitor: Millimeter-level Sensing for RFID-based Infusion Drip Rate Monitoring
lightbulb现实痛点环境检测、质量监测与异常识别方法现有火灾检测设备成本高、干扰敏感、覆盖范围受限。UbiComp '23HearFire: Indoor Fire Detection via Inaudible Acoustic Sensing
lightbulb现实痛点环境检测、质量监测与异常识别方法工业监测中电气断层扫描难以准确检测内部结构细节。UbiComp '22Use of the two-stage neural system in industrial electrical tomography - hybrid approach
lightbulb现实痛点环境检测、质量监测与异常识别方法现有系统难以准确预测空气质量的突发变化,影响决策者响应效率。UbiComp '21TIP-Air: Tracking Pollution Transfer for Accurate Air Quality Prediction
lightbulb现实痛点环境检测、质量监测与异常识别方法智能城市监控下,烟雾在雾天条件下难以被准确检测。UbiComp '21Dark-Channel Mixed Attention Based Neural Networks for Smoke Detection in Fog Environment
lightbulb现实痛点环境检测、质量监测与异常识别方法消费者无法低成本、准确地检测水果内在质量。UbiComp '21Wi-Fruit: See Through Fruits with Smart Devices
lightbulb现实痛点环境检测、质量监测与异常识别方法机场和军事设施难以在低能见度下检测和识别潜在的无人机威胁。UbiComp '21DronePrint: Acoustic Signatures for Open-set Drone Detection and Identification with Online Data