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Found 6 papers, 4 papers with code
Real-Time Multimodal Cognitive Assistant for Emergency Medical Services
Emergency Medical Services (EMS) responders often operate under time-sensitive conditions, facing cognitive overload and inherent risks, requiring essential skills in critical thinking and rapid decision-making.
Camera-Independent Single Image Depth Estimation from Defocus Blur
We created a synthetic dataset which can be used to test the camera independent performance of depth from defocus blur models.
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Electronic Health Records
Multi-label text classification (MLTC) tasks in the medical domain often face long-tail label distribution, where rare classes have fewer training samples than frequent classes.
CitySpec with Shield: A Secure Intelligent Assistant for Requirement Formalization
The evaluation results on real-world city requirements show that CitySpec increases the sentence-level accuracy of requirement specification from 59. 02% to 86. 64%, and has strong adaptability to a new city and a new domain (e. g., the F1 score for requirements in Seattle increases from 77. 6% to 93. 75% with online learning).
CitySpec: An Intelligent Assistant System for Requirement Specification in Smart Cities
An increasing number of monitoring systems have been developed in smart cities to ensure that real-time operations of a city satisfy safety and performance requirements.
See Through Smoke: Robust Indoor Mapping with Low-cost mmWave Radar
This paper presents the design, implementation and evaluation of milliMap, a single-chip millimetre wave (mmWave) radar based indoor mapping system targetted towards low-visibility environments to assist in emergency response.
