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| Which 'milk' is best for the environment? We compared dairy, nut, soy, hemp and grain milks 科技资讯
2020
  收藏 | 浏览/下载：20/0 | 提交时间：2020/10/15 |
| State of the Climate in 2019 科技报告
, 2020
作者: [unavailable]
 Adobe PDF(46553Kb) | 收藏 | 浏览/下载：17/2 | 提交时间：2021/11/24 |
| State of the UK Climate 2019 科技报告
, 2020
作者: [unavailable]
Adobe PDF(43191Kb) | 收藏 | 浏览/下载：1/1 | 提交时间：2021/11/24 |
| Global Trends in Renewable Energy Investment 2020 科技报告
, 2020
作者: [unavailable]
Adobe PDF(4573Kb) | 收藏 | 浏览/下载：2/0 | 提交时间：2021/11/24 |
| New Zealand's Greenhouse Gas Inventory 1990-2018 科技报告
, 2020
作者: [unavailable]
Adobe PDF(7753Kb) | 收藏 | 浏览/下载：13/1 | 提交时间：2021/11/24 |
| Coconut farmers in Southeast Asia struggle as palm oil muscles in on them 科技资讯
2020
收藏 | 浏览/下载：1/0 | 提交时间：2020/03/31 |
| Moringa Fund: ‘A new business model for forests and reforestation’ 科技资讯
2020
收藏 | 浏览/下载：33/0 | 提交时间：2020/03/18
Forests Blended Finance Land Degradation |
| PepsiCo renews sustainable palm oil policy to close supplier loophole 科技资讯
2020
收藏 | 浏览/下载：8/0 | 提交时间：2020/03/12 |
| Identifying groundwater contaminant sources based on a KELM surrogate model together with four heuristic optimization algorithms 期刊论文
, 2020, 卷号: 138
作者: Zhao Y.; Qu R.; Xing Z.; Lu W.
收藏 | 浏览/下载：14/0 | 提交时间：2020/07/28
Contamination Efficiency Genetic algorithms Groundwater Groundwater pollution Heuristic algorithms Knowledge acquisition Learning algorithms Machine learning Modular robots Particle swarm optimization (PSO) Quantum computers Contaminant concentrations Contaminant sources Extreme learning machine Groundwater contaminants Heuristic optimization algorithms Heuristic search algorithms Source characteristics Traditional genetic algorithms Computational efficiency accuracy assessment genetic algorithm groundwater pollution identification method machine learning optimization reliability analysis surrogate method |
| Entropy: (1) The former trouble with particle-tracking simulation, and (2) A measure of computational information penalty 期刊论文
, 2020, 卷号: 137
作者: Benson D.A.; Pankavich S.; Schmidt M.J.; Sole-Mari G.
收藏 | 浏览/下载：27/0 | 提交时间：2020/07/28
Computational complexity Dispersions Entropy Mass transfer Mixing Probability density function Adjustable parameters Advective-dispersive transport Computational penalty Information criterion Particle methods Probability mass function Random walk particle tracking Smoothed particle hydrodynamics Hydrodynamics advection dispersion entropy mixing random walk method |
