Results 21 to 30 of about 526,480 (164)
, 2016 沙波运移预测是海洋开发必不可少的一环。通常采用非线性谱分析方法分析沙波实测资料从而预测沙波运移。然而这种方法仅是从统计的角度进行预测,它不包含水动力、加载风速、沙质底床性质等关键因素对沙波运移的影响。对此本文提出了一种谱分析模型解决此类问题。该模型基于沙波形状不变假设,引入波谱能量平均运移速度,考虑了台风产生的风浪和涌浪,利用波浪输沙理论计算台风期间的沙波运移,厘清了一般波流作用和台风作用引起的沙波位移。模型计算结果与实测数据吻合,可以用来预测10 ...
江文滨, 林缅, 曹高辉
core
Kongjian kexue xuebao, 2023 对在轨卫星的运行状态进行监测、分析以及异常检测是卫星在轨运行管理的重要内容。预测卫星遥测参数序列的变化趋势，对卫星异常检测与处置、保障安全运行非常必要。针对目前对于周期性不明显且具有多种变化特征的遥测参数预测精确度不够的问题，本文引入对遥测参数的预测有辅助作用的因素作为协变量，提出了基于改进组合机器学习的预测模型。该模型使用全局模型和局部模型分别获取遥测参数序列的趋势特征和局部不规则波动特征，并采用改进的注意力机制捕获多维参数之间的关联关系，提高了预测精度。此模型可以提供点预测和区间预测的结果 ...
姜 改新, 刘 玉荣
doaj +1 more source
Functional Ecology, EarlyView.Read the free Plain Language Summary for this article on the Journal blog. Abstract Decomposition is the transformation of dead organic matter into its inorganic constituents. In most biomes, decomposition rates can be accurately predicted with simple mathematical models, but these models have long under‐predicted decomposition in globally extensive ...
Heather L. Throop +8 more
wiley +1 more source
Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity
Conservation Biology, EarlyView.Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca +23 more
wiley +1 more source
Conservation Biology, EarlyView.Abstract Knowledge of species distributions is essential for informing policies on nature conservation and restoration. However, updating them on a regular basis and doing so in a harmonized manner at the international level is difficult. The European Bird Census Council integrated national monitoring data covering 5 years to update farmland bird ...
Sergi Herrando +54 more
wiley +1 more source
Insights for conservation from the Ecological Knowledge Games project
Conservation Biology, EarlyView.Abstract Environmental conservation research requires robust methods for collecting large‐scale behavioral data and engaging diverse stakeholders in decision‐making processes. We (Y.P., A.B.D., and N.B.) created EcoKnowGames (Ecological Knowledge Games), a transdisciplinary project that develops knowledge games for conservation science and data ...
Yuan Pan +4 more
wiley +1 more source
Zhongguo shiyan zhenduanxue, 2018 目的构建2型糖尿病发病风险预测模型。方法在体检人群中招募糖尿病患者53人,非糖尿病患者93人,体检的同时进行相应的基因检测,并填写健康体检自测问卷,收集全部数据采用XGBoost构建2型糖尿病预测模型。结果模型预测的准确率是86.6%,特征重要性评估结果显示,对模型贡献前三名的变量依次是血糖、甘油三酯和SLC30A8基因rs13266634-C位点的等位基因。结论 XGBoost糖尿病发病风险预测模型具有很强的预测能力。
张洪侠 +13 more
doaj
Role of funders in embedding tests in conservation practice
Conservation Biology, EarlyView.Abstract Effective conservation practice requires decisions based on reliable and relevant evidence, but significant gaps in the evidence base exist. Incorporating well‐designed tests of the effectiveness of interventions for biodiversity in conservation projects is one of the best ways to scale up the rate of evidence generation.
Rebecca K. Smith +28 more
wiley +1 more source
Gongye shui chuli, 2007 重点对地表水质预测模型的几种人工智能方法进行了评述，具体说明了BP神经网络水质预测模型、地表水COD灰色预测模型、时间数列预测方法及WASP5模型系统等方法的原理和特点。并提出地表水质预测模型WASP5与GIS系统集成的趋势,建立水质自动监测系统是我国水质现状和社会发展的需要,并分析了发展水质自动检测系统的方法及可行性。
王志红, 孙超
doaj
Uncovering correlates of decline and critical refuges for a threatened terrestrial mammal
Conservation Biology, EarlyView.Abstract Globally, the geographic ranges of numerous species are contracting. Identifying spatiotemporal patterns of threat impact can illuminate why species decline in some parts of their range but persist in others. We developed a correlative approach to identify species’ response thresholds and locate ecological refuge areas associated with ...
Natalya M. Maitz +5 more
wiley +1 more source