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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
1,585개의 결과
Review: Nonstationary Spatial Modeling, with Emphasis on Process Convolution and Covariate-Driven Approaches
Mark D. Risser
arXiv (Cornell University)
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2016
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20 회 인용
The Water Circuit of the Plants - Do Plants have Hearts ?
Wolfgang Kundt, Éva Gruber
ArXiv.org
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2006
|
20 회 인용
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast
I.V.P. De Oliveira, Renato L. F. Cunha 외 2명
arXiv (Cornell University)
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2018
|
19 회 인용
A tool for computing diversity and consideration on differences between diversity indices
Ciprian Palaghianu
arXiv (Cornell University)
|
2016
|
19 회 인용
Abrupt declines in tropospheric nitrogen dioxide over China after the outbreak of COVID-19
Fei Liu, Aaron Page 외 13명
arXiv (Cornell University)
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2020
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19 회 인용
Adversarial autoencoders and adversarial LSTM for improved forecasts of urban air pollution simulations
César Quilodrán Casas, Rossella Arcucci 외 3명
arXiv (Cornell University)
|
2021
|
19 회 인용
Comparison of Deep learning models on time series forecasting : a case study of Dissolved Oxygen Prediction
Hongqian Qin
arXiv (Cornell University)
|
2019
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19 회 인용
Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology
Carl Chalmers, Paul Fergus 외 2명
arXiv (Cornell University)
|
2019
|
19 회 인용
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data
Fantine Huot, Ruiheng Hu 외 7명
arXiv (Cornell University)
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2020
|
19 회 인용
Differentiable, learnable, regionalized process-based models with physical outputs can approach state-of-the-art hydrologic prediction accuracy
Dapeng Feng, Jiangtao Liu 외 2명
arXiv (Cornell University)
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2022
|
19 회 인용
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