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Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery.

, , , and . KDD, page 3234-3242. ACM, (2020)

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Benchmarking Performance for Migrating a Relational Application to a Parallel Implementation., , and . ER Workshops, volume 8823 of Lecture Notes in Computer Science, page 55-64. Springer, (2014)Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery., , , and . KDD, page 3234-3242. ACM, (2020)Scaling Deep Learning Based Crop Classification on Modern Intel Xeon Processors., , , and . IGARSS, page 3732-3735. IEEE, (2019)Detecting Extreme Events in Gridded Climate Data., , , , and . ICCS, volume 80 of Procedia Computer Science, page 2397-2401. Elsevier, (2016)Scalable Data Parallel Approaches to Anomaly Detection in Climate Data using Gaussian Processes., , , , and . ICMLA, page 485-488. IEEE, (2019)Real-Time Change Detection At the Edge., , , and . ICMLA, page 776-781. IEEE, (2022)Remote Sensing Based Crop Type Classification Via Deep Transfer Learning., and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Comparative analysis of deep transfer learning performance on crop classification., and . BigSpatial@SIGSPATIAL, page 1:1-1:8. ACM, (2020)Classification Performance Evaluation of Deep Learning Architectures for Complex Object Based Facility Recognition., , and . IGARSS, page 3057-3060. IEEE, (2019)Evaluating Performance of Deep Neural Networks for Crop Classification and Complex Facility Recognition., , and . ICDM Workshops, page 573-580. IEEE, (2019)