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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Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

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Deep reinforcement learning process. by Sen Cao (6017846)

“…This study introduces an improved adaptive signal control approach using an enhanced dual-layer deep Q-network (EXP-DDQN), specifically tailored for intelligent connected environments. …”

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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Accuracy of multiple classifiers with a deep-learning-based feature set by Afira Aslam (21433666)

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Few-Shot Symbol Detection in Engineering Drawings by Laura Jamieson (19759235)

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Data Sheet 1_Grammar-constrained decoding for structured information extraction with fine-tuned generative models applied to clinical trial abstracts.pdf by David M. Schmidt (20517821)

“…The addition of the pointer generators had a detrimental impact on the results, decreasing F₁ scores by pp 0.15 (absolute score 0.263) and pp 0.198 (absolute score 0.272) for the best-performing pointer generator models on type 2 diabetes and glaucoma datasets, respectively.…”

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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Regression analyses of the number of all ultrasonic calls identified by the experienced researcher (A.P.; “Human”) and by the DeepSqueak machine learning tool. by Piotr Popik (292215)

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

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