Skip to main content
Nubint
エージェント
リソース
料金プラン
会社概要
JA
Home
論文レビュー
Environmental Science
Environmental Science 論文レビュー
Environmental Science 分野の主要論文を動機・手法・結果に構造化した AI 論文レビュー一覧です。
すべて
Computer Science
Mathematics
Physics and Astronomy
Engineering
Materials Science
Chemistry
Chemical Engineering
Earth and Planetary Sciences
Environmental Science
Energy
Biochemistry, Genetics and Molecular Biology
Neuroscience
Immunology and Microbiology
Agricultural and Biological Sciences
Medicine
Pharmacology, Toxicology and Pharmaceutics
Health Professions
Economics, Econometrics and Finance
Business, Management and Accounting
Decision Sciences
Social Sciences
Psychology
Arts and Humanities
Filter
1,603 results
The SpaceNet Multi-Temporal Urban Development Challenge
Adam Van Etten, David B. Hogan
arXiv (Cornell University)
|
2021
|
8 citations
The thermodynamic roots of synergy and its impact on society
Klaus Jaffé
arXiv (Cornell University)
|
2017
|
8 citations
The Unpaid Toll: Quantifying and Addressing the Public Health Impact of Data Centers
Yu Han, Zhifeng Wu, +3
arXiv (Cornell University)
|
2024
|
8 citations
Towards Spatial Variability Aware Deep Neural Networks (SVANN): A Summary of Results
Jayant Gupta, Yiqun Xie, +1
arXiv (Cornell University)
|
2020
|
8 citations
Towards the Probabilistic Earth-System Model
T. N. Palmer, Francisco J. Doblas‐Reyes, +4
ArXiv.org
|
2008
|
8 citations
Unsupervised Threshold for Automatic Extraction of Dolphin Dorsal Fin Outlines from Digital Photographs in DARWIN (Digital Analysis and Recognition of Whale Images on a Network)
Scott A. Hale
arXiv (Cornell University)
|
2012
|
8 citations
Urban Healthcare Big Data System Based on Crowdsourced and Cloud-Based Air Quality Indicators
Min Chen, Jun Yang, +3
arXiv (Cornell University)
|
2018
|
8 citations
UrbanVCA: a vector-based cellular automata framework to simulate the urban land-use change at the land-parcel level
Yao Yao, Linlong Li, +10
arXiv (Cornell University)
|
2021
|
8 citations
Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches
José González-Abad, Jorge Baño‐Medina, +1
arXiv (Cornell University)
|
2023
|
8 citations
Vision Transformers, a new approach for high-resolution and large-scale mapping of canopy heights
Ibrahim Fayad, Philippe Ciais, +9
arXiv (Cornell University)
|
2023
|
8 citations
54
55
56
57
58
