Results 41 to 50 of about 24,664 (119)
Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity
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
Informal supply chains of wild meat from rural Amazonia and food security in an urban center
Abstract Iquitos, the most populated city in the Peruvian Amazon, is a hub in the regional supply chain of wild meat and supplies urban consumers. Studies on wild meat consumption have focused primarily on markets, limiting the scope of species considered to those that are economically valuable and potential inferences from those data.
Fiorella Briceño Huerta +3 more
wiley +1 more source
针对髋关节软骨的应力分布算法研究问题,设计了一个基于深度学习模型来代替有限元分析。该深度学习模型分为无监督学习模块和有监督学习模块,首先使用无监督学习模块对髋关节的软骨和股骨进行形状编码;之后实现对应力分布数据的编码与解码,使得应力数据能够与神经网络相结合;然后通过监督学习,利用编码好的应力数据进行监督,使神经网络学习得到一个从髋关节软骨和股骨的形状码到应力分布的应力码的映射关系;最终得到一个拟合的深度学习模型。此模型能够在一定程度上模拟有限元分析方法,但是由于其平均绝对误差和归一化平均绝对误差比较大 ...
刘远平 +3 more
doaj
Assessing differences among elasmobranch nurseries to aid conservation based on a genomics framework
Abstract Elasmobranch nurseries often differ in environmental conditions, demographics, and use patterns. These differences affect the distribution of genetic variation among nurseries. However, conservation and management strategies often fail to account for such differences because they are difficult to characterize.
Dominic G. Swift +8 more
wiley +1 more source
ABSTRACT This computational linguistic study analyzes 8743 Rednote posts to examine how sentiment, emotion, and content domain collectively shape social comparison dynamics on social media. We identify four key findings: (1) an emotional gradient, where upward comparison content exhibits the highest sentiment scores and downward comparison the lowest; (
Michelle Mingyue Gu +7 more
wiley +1 more source
概述了联邦可视化的概念、框架、方法与应用。联邦可视化框架能够在不进行数据整合的情况下,针对具体任务和特定场景进行加密训练,得出反映全体数据特征的可视化模型。联邦可视化是联邦学习框架在可视化领域的拓展应用,主要强调在保障数据隐私的前提下,互利共赢的联邦协作方式在对多数据源数据进行可视分析方面的应用,以打破各领域、各行业的数据壁垒,实现数据与知识的共享。
魏雅婷, 王智勇, 周舒悦, 陈为
doaj
Accountability in Government Use of AI: Citizen Concerns and Preferences
ABSTRACT Government adoption of AI opens the “pandora's box” of accountability, a core aspect of public value. Despite the centrality of governmental AI accountability, citizens' concerns and preferences in holding governments accountable for AI usage remain poorly understood.
Naikang Feng, Yanto Chandra
wiley +1 more source
随着智能交通的发展,快速、精确识别交通场景成为亟待解决的重要问题。目前已有许多识别方法可以提高交通场景的识别效果,但这些算法无法提取视觉概念的交通语义特征,导致识别精度低下。为此,设计了一种提取高维场景语义特征和结构信息的识别算法,以提高识别精度。为减少图像高维与低维特征表示之间的“语义鸿沟”,首先构建了一个场景类的语义描述系统,然后通过最小化损失(element-wise logistic loss)函数训练多标签分类网络,获取交通场景图像的高维特征表示,最后在4个大规模场景识别数据集上进行验证 ...
刘文华 +4 more
doaj
ABSTRACT As the public sector increasingly adopts AI‐powered automated decision systems (ADS), understanding how citizens experience and value ADS use in public decision‐making is both normatively and practically important. Therefore, we examine and compare the effects of seven attributes of public values on citizens' support for ADS adoption in two ...
Guimin Zheng +4 more
wiley +1 more source
Resource Substitution: Local Governments' Issue Attention and Policy Reinvention
ABSTRACT Research on policy reinvention, where a government modifies rather than replicates policy innovations introduced by other governments, has progressed significantly, but how it is influenced by the government's issue attention has not been thoroughly examined.
Yingxin Zhang, Yixue Yao, Kaifeng Yang
wiley +1 more source

