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Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us?, and . Int. J. Geogr. Inf. Sci., 30 (9): 1873-1898 (2016)DisasterMapper: A CyberGIS framework for disaster management using social media data., , , and . BigSpatial@SIGSPATIAL, page 1-6. ACM, (2015)Improving the Transferability of Deep Learning Models for Crop Yield Prediction: A Partial Domain Adaptation Approach., , , and . Remote. Sens., 15 (18): 4562 (September 2023)Visualizing 3D/4D environmental data using many-core graphics processing units (GPUs) and multi-core central processing units (CPUs)., , , , and . Comput. Geosci., (2013)A cloud-enabled remote visualization tool for time-varying climate data analytics., , , and . Environ. Model. Softw., (2016)Real-Time Classification of Disaster Images from Social Media with a Self-Supervised Learning Framework., , , , and . IGARSS, page 671-674. IEEE, (2022)Utilizing Grid Computing to Support Near Real-Time Geospatial Applications., , , , and . IGARSS (2), page 1290-1293. IEEE, (2008)Patch Similarity Convolutional Neural Network for Urban Flood Extent Mapping Using Bi-Temporal Satellite Multispectral Imagery., , , and . Remote Sensing, 11 (21): 2492 (2019)Optimizing grid computing configuration and scheduling for geospatial analysis: An example with interpolating DEM., and . Comput. Geosci., 37 (2): 165-176 (2011)High-performance computing for the simulation of dust storms., , , and . Comput. Environ. Urban Syst., 34 (4): 278-290 (2010)