.png){kind=icon}
返回
Computational Sustainability: A Socio-technical Perspective
.png){kind=icon}
PRE
AI
DOI：10.1145/3409797.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This is a consolidated look at computational techniques for sustainability, and their limits and possibilities. Sustainability is already well established as a concern and a topic of study and practice, given the alarming increase of environmental degradation, pollution, and other adverse effects of industrialization and urbanization. Computational sustainability, which focuses on the use of effective computational models and computational approaches to help achieve the goal of sustainability, has attracted interest from computer science researchers worldwide. We review recent work on computational techniques applied to a range of domains related to sustainability, from bio-surveillance to poverty mapping, from renewable energy production forecasting to crop disease monitoring, and from agent-based modeling to stochastic network design. In sustainable computing, we discuss some directions that have recently been explored. Finally, we analyze research directions that could be explored in the future to achieve the goal of long-term environmental sustainability.
Keyword:
Conservation
renewable resources
smart systems
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
28
论文数:
2.4K
被引数:
3.5W
机构
引用论文
Plag1 regulates neuronal gene expression and neuronal differentiation of neocortical neural progenitor cellsPlag1调节新皮质神经祖细胞的神经元基因表达和神经元分化
OAAI
OAAI分享收藏分享收藏The Energy and Carbon Footprint of the Global ICT and E&M Sectors 2010-2015全球ICT和E & M部门的能源和碳足迹2010-2015.png)
SUSTAINABILITYOAAI
SUSTAINABILITYIF3.3
OAAI分享收藏分享收藏
查看更多内容