Water Withdrawal and Consumption Trends for Thermoelectric-Power Plants in the Conterminous United States, 2008–2020 by Kenneth D. Skinner (22280459)

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

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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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Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

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

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In the first 15 days of pod fill high temperature over 30∘C decreased marketable yield for both seasons. by Miranda Y. Mortlock (20855564)

nsP4-C483Y or Q192L mutations decrease sensitivity to 4′-FlU. by Peiqi Yin (6533747)

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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Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

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)

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

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The nsP4-Q192L and C483Y mutations decrease the 4′-FlU sensitivity of both replication and transcription. by Peiqi Yin (6533747)

Global Land Use Change Impacts on Soil Nitrogen Availability and Environmental Losses by Jing Wang (6206297)

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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. …”

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)