Omdena / Origin Chain Networks
Remote Sensing and Computer Vision for Farming Habitat Classification
Remote Sensing and Computer Vision for Farming Habitat Classification
Reductions in Gas and Oil Flaring from Pipelines
Published in The 36th ACM/SIGAPP Symposium on Applied Computing (SAC 2021), Republic of Korea, 2021
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Recommended citation: Bae et al., 2021. "A Study of the Effectiveness of Transfer Learning in Individualized Asthma Risk Prediction." ACM Symposium on Applied Computing. http://markplotlib.github.io/files/ACMSAC2021_MLA_1160_Bae_et_al.pdf
Tutorial, Digital Therapeutics Research and Data Science team, Novo Nordisk, 2021
Demo, Virtual, Data Engineering team, Dentsu Media / Merkle, 2024
In this Microsoft Learning Path, I demonstrated the capabilities of computer vision solutions with AI Vision in the Azure cloud. This entails image analysis, image classification, custom model training & evaluation, optical character recognition, facial detection, and video analysis. Part of a Cloud Skills Challenge for GenAI solutions within dentsu Connect - AI Engineer