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Environmental Science
Environmental Science 논문 리뷰
Environmental Science 분야 주요 연구 논문을 연구 동기·방법·결과로 구조화한 AI 논문 리뷰 목록입니다.
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필터
1,603개의 결과
Comparison of multivariate post-processing methods using global ECMWF ensemble forecasts
M Lakatos, Sebastian Lerch 외 2명
arXiv (Cornell University)
|
2022
|
9 회 인용
Deep-dust: Predicting concentrations of fine dust in Seoul using LSTM
Sookyung Kim, Jungmin Lee 외 2명
arXiv (Cornell University)
|
2019
|
9 회 인용
Deep Inferential Spatial-Temporal Network for Forecasting Air Pollution Concentrations
Hao Wang, Bojin Zhuang 외 3명
arXiv (Cornell University)
|
2018
|
9 회 인용
Deep learning for bias-correcting CMIP6-class Earth system models
Philipp Heß, Stefan Lange 외 2명
arXiv (Cornell University)
|
2022
|
9 회 인용
Deep neural networks automate detection for tracking of submicron scale particles in 2D and 3D
Jay Newby, Alison Schaefer 외 3명
arXiv (Cornell University)
|
2017
|
9 회 인용
Detecting Methane Plumes using PRISMA: Deep Learning Model and Data Augmentation
Alexis Groshenry, Clément Giron 외 3명
arXiv (Cornell University)
|
2022
|
9 회 인용
Direct Measurement of the Surface Tension of Nanobubbles
Phil Attard
arXiv (Cornell University)
|
2015
|
9 회 인용
Early- and in-season crop type mapping without current-year ground truth: generating labels from historical information via a topology-based approach
Chenxi Lin, Liheng Zhong 외 4명
arXiv (Cornell University)
|
2021
|
9 회 인용
EPOCHS III: Unbiased UV continuum slopes at 6.5
Duncan Austin, Christopher J. Conselice 외 35명
arXiv (Cornell University)
|
2024
|
9 회 인용
Exploring Perceptions of Veganism
Laura Jennings, Christopher M. Danforth 외 3명
arXiv (Cornell University)
|
2019
|
9 회 인용
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