Publications by authors named "Hyunghun Cho"
Article Synopsis
- The White Blood Cell (WBC) differential test is a commonly used diagnostic tool that involves expert analysis of blood samples to identify abnormalities.
- Automated digital microscopy offers a more efficient alternative to manual inspections, though it faces challenges with capturing high-quality images due to the need for multiple focal planes.
- A new dataset of 25,773 image stacks from 72 patients has been created, featuring 18 cell classes (both normal and abnormal), which has been meticulously labeled by experts to support advanced WBC classification using machine learning techniques.
In this paper, we provide findings from an energy saving experiment in a university building, where an IoT platform with 1 Hz sampling sensors was deployed to collect electric power consumption data. The experiment was a reward setup with daily feedback delivered by an energy delegate for one week, and energy saving of 25.4% was achieved during the experiment.
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