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Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery.

, , , , , , и . eScience, стр. 243-251. IEEE, (2019)

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Jessica Irrgang

Charakterisierung partikulärer Systeme auf funktionalisierten Oberflächen. TU Dortmund, (2008)

Jessica Rehdorf

Discovery of novel Baeyer-Villiger monooxygenases and their application in organic synthesis. Uni Greifswald, (2009)

Wiebke Block

Eberhard Block

Anna Block

 

Другие публикации лиц с тем же именем

Determining feature extractors for unsupervised learning on satellite images., , , , и . IEEE BigData, стр. 2655-2663. IEEE Computer Society, (2016)Understanding a Rapidly Expanding Refugee Camp Using Convolutional Neural Networks and Satellite Imagery., , , , , , и . eScience, стр. 243-251. IEEE, (2019)Land Cover Classification at the Wildland Urban Interface using High-Resolution Satellite Imagery and Deep Learning., , , , , , , , и . IEEE BigData, стр. 1632-1638. IEEE, (2018)An Unsupervised Deep Learning Approach for Satellite Image Analysis with Applications in Demographic Analysis., , , , , , , и . eScience, стр. 9-18. IEEE Computer Society, (2017)Towards an Integrated Cyberinfrastructure for Scalable Data-driven Monitoring, Dynamic Prediction and Resilience of Wildfires., , , , , , , , , и 2 other автор(ы). ICCS, том 51 из Procedia Computer Science, стр. 1633-1642. Elsevier, (2015)Scaling Deep Learning-Based Analysis of High-Resolution Satellite Imagery with Distributed Processing., , , , и . IEEE BigData, стр. 5437-5443. IEEE, (2019)Scalable Detection of Rural Schools in Africa Using Convolutional Neural Networks and Satellite Imagery., , , , , , , и . UCC Companion, стр. 142-147. IEEE, (2018)Machine Learning for Improved Post-fire Debris Flow Likelihood Prediction., , , , и . IEEE Big Data, стр. 1681-1690. IEEE, (2022)Improving Wildfire Simulations by Estimation of Wildfire Wind Conditions from Fire Perimeter Measurements., , , , и . ICCS (5), том 12746 из Lecture Notes in Computer Science, стр. 231-244. Springer, (2021)Firemap: A Dynamic Data-Driven Predictive Wildfire Modeling and Visualization Environment., , , и . ICCS, том 108 из Procedia Computer Science, стр. 2230-2239. Elsevier, (2017)