5 papers
Instance camera focus prediction for crystal agglomeration classification
Xiaoyu Ji, Chenhao Zhang, Tyler James Downard +3
Agglomeration refers to the process of crystal clustering due to interparticle forces. Crystal agglomeration analysis from microscopic images is challenging due to the inherent lim…
Confidence-aware agglomeration classification and segmentation of 2D microscopic food crystal images
Xiaoyu Ji, Ali Shakouri, Fengqing Zhu
Food crystal agglomeration is a phenomenon occurs during crystallization which traps water between crystals and affects food product quality. Manual annotation of agglomeration in…
Empowering Manufacturers with Privacy-Preserving AI Tools: A Case Study in Privacy-Preserving Machine Learning to Solve Real-World Problems
Xiaoyu Ji, Jessica Shorland, Joshua Shank +4
Small- and medium-sized manufacturers need innovative data tools but, because of competition and privacy concerns, often do not want to share their proprietary data with researcher…
Efficient Microscopic Image Instance Segmentation for Food Crystal Quality Control
Xiaoyu Ji, Jan P Allebach, Ali Shakouri +1
This paper is directed towards the food crystal quality control area for manufacturing, focusing on efficiently predicting food crystal counts and size distributions. Previously, m…
An Open Dataset of Sensor Data from Soil Sensors and Weather Stations at Production Farms
Charilaos Mousoulis, Pengcheng Wang, Nguyen Luu Do +5
Weather and soil conditions are particularly important when it comes to farming activities. Study of these factors and their role in nutrient and nitrate absorption rates can lead…