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Machine Learning for Geospatial Data in the Cloud: A Comprehensive Analysis of Architectures, Challenges, and Next-Generation Solutions

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Τίτλος: Machine Learning for Geospatial Data in the Cloud: A Comprehensive Analysis of Architectures, Challenges, and Next-Generation Solutions
Συγγραφείς: Surya Kumari Bonam, Anu Sai, Charan Srihaas, Varanasi, Gandla, Sohan, Teja Reddy, Ch. Dhruva, Sai Venkatesh, V.
Πηγή: 2025 IEEE International Conference on Next-Gen Technologies of Artificial Intelligence and Geoscience Remote Sensing (EarthSense) Next-Gen Technologies of Artificial Intelligence and Geoscience Remote Sensing (EarthSense), 2025 IEEE International Conference on. :1-5 Sep, 2025
Relation: 2025 IEEE International Conference on Next-Gen Technologies of Artificial Intelligence and Geoscience Remote Sensing (EarthSense)
Βάση Δεδομένων: IEEE Xplore Digital Library
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        Value: 10.1109/EarthSense66084.2025.11297303
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            NameFull: Charan Srihaas, Varanasi
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            NameFull: Gandla, Sohan
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              Y: 2025
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