Innovation and night light in large and small cities. by Saul Estrin (8629173)

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Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

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GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

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Regional contemporary (1990–1999 mean) precipitation and JULES inundation fraction over the Amazon basin. by Nic Gedney (19762301)

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Changes in decadal precipitation and JULES inundation between 1990–1999 and 2089–2098. by Nic Gedney (19762301)

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Contemporary mean inundation fraction in the Amazon basin. by Nic Gedney (19762301)

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Decadal mean regional hydrology. by Nic Gedney (19762301)

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Wetland classification scheme for the contemporary period. by Nic Gedney (19762301)

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Simulated regional mean wetland seasons. by Nic Gedney (19762301)

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Projected decadal changes in seasonality in the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

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Decadal seasonality of the hydrological cycle over the wetland regions. by Nic Gedney (19762301)

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Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

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Nightlight densities in the lowest, around the median and the highest ranked cities in the sample and the distribution of firms in each city. by Saul Estrin (8629173)

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CNN Model Architecture. by Mudhafar Jalil Jassim Ghrabat (22177655)

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Flowchart of Proposed SMO_CNN. by Mudhafar Jalil Jassim Ghrabat (22177655)

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CNN Model Layers Summary. by Mudhafar Jalil Jassim Ghrabat (22177655)

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Penalty conversions yield large practical decreases, but robustness and generalizability of result are limited by data quality and sample selection. by Ryan J. Treves (13527735)

Performance Results of Proposed SMO_CNN Model. by Mudhafar Jalil Jassim Ghrabat (22177655)

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CNN framework. by Sajid Mehmood (6689843)

“…We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. …”

CNN frameworks. by Sajid Mehmood (6689843)

“…We propose to implement both MLP (Multilayer Perceptron) and CNN (Convolutional Neural Networks) based on conventional methods to detect the Denial of Services (DDoS) attack. …”