Results 71 to 80 of about 93,069 (162)
Evaluating past and future contributions of conservation programs to species recovery
Conservation Biology, EarlyView.Abstract Impact evaluation of conservation actions is a crucial step in global efforts to curb the biodiversity crisis. Through robust impact evaluation, practitioners can assess the effectiveness of conservation strategies and optimize the use of limited resources.
Rebeca E. Young +10 more
wiley +1 more source
智能科学与技术学报, 2019 信息领域的竞争是一种体系竞争，针对单一防御手段无法应对立体攻击的问题，构建了一种基于自然免疫原理与可信计算的自主可控信息系统。该系统包括可信网络基础功能部分、用户行为度量子系统、软件行为度量子系统和容错子系统，通过在基础功能部分增加安全机制的方式实现了信任链的扩展、可信网络接入控制模型与基于角色访问控制模型的融合，以及可信终端全生命周期的可信接入。
柳伟, 慈林林, 刘利平
doaj
Palette-based image recoloring based on moving least squares(基于移动最小二乘的图像重着色)
Zhejiang Daxue xuebao. Lixue banIn recent years, palette-based image recoloring techniques have garnered widespread attention and application across various domains such as graphic design, photo editing, and advertising production.
周家伟(ZHOU Jiawei) +5 more
doaj +1 more source
Conservation Biology, EarlyView.Abstract Prioritization in conservation is crucial for the development of efficient and effective decision‐making policies. For many decades, the importance of some species and their habitats has been assessed and applied in conservation legislation, but bats and their diurnal roosts have ofbeen overlooked.
David López‐Bosch +6 more
wiley +1 more source
智能科学与技术学报, 2020 污水处理过程入水干扰严重，不确定性强，因而对溶解氧浓度进行实时控制与精确控制比较困难。为了提高溶解氧浓度的控制精度和控制器的鲁棒性，提出一种基于相关熵模糊神经网络（CFNN）的溶解氧浓度在线控制方法。首先，建立了基于跟踪误差相关熵的性能准则，以抑制较大的异常值。其次，基于在线梯度下降算法调整控制器的参数，并分析了系统的稳定性。最后，基于基准仿真 1 号模型（BSM1）进行实验。结果表明，提出的CFNN控制器能够实时精准地跟踪溶解氧浓度，相比其他基于均方误差准则的神经网络控制器 ...
权利敏, 杨翠丽, 乔俊飞
doaj
Zhejiang Daxue xuebao. Lixue ban, 2015 在独立同分布的随机环境下，建立了可迁移的两性分枝过程模型，其迁移人口数依赖当前人口数，证得此两性分枝过程是随机环境中的马氏链，并得到了第n代每个配对单元平均增长率的极限性质，从而推广了经典两性分枝过程的相关理论.
SONGMingzhu(宋明珠) +2 more
doaj +1 more source
Representation of obligate groundwater‐dwelling copepod diversity in European protected areas
Conservation Biology, EarlyView.Abstract Groundwaters sustain diverse surface ecosystems and are populated by metazoan species, mostly invertebrates, that provide fundamental ecological functions and are often of prominent conservation value due to narrow endemism and high phylogenetic rarity.
Francesco Cerasoli +7 more
wiley +1 more source
He jishu基于能谱的核素识别方法受到数值统计局限性的影响，需花费较长时间得到统计结果，导致应用于低计数率的快速核素识别速度较慢、精度较差、泛化性不高。为提升核素识 别的速度和性能，本文提出一种基于核脉冲峰值序列二维卷积神经网络（Two-Dimensional Convolutional Neural Network，2D-CNN）的核素识别方法。实验使用NaI（Tl）探测器在不同探源距下采集低计数率的单一源、混合源以及环境本底的核脉冲序列并将其进行固定长度序列划分作为数据集 ...
罗 庚 +7 more
doaj +1 more source
Automating the analysis of public saliency and attitudes toward biodiversity from digital media
Conservation Biology, EarlyView.Abstract Measuring public attitudes toward wildlife provides crucial insights into human relationships with nature and helps monitor progress toward Global Biodiversity Framework targets. Yet, conducting such assessments at a global scale presents challenges.
Noah Giebink +8 more
wiley +1 more source
Research of KNN Graph Algorithm Parallelization based on Spark and Its Application [PDF]
, 2016 近些年来，随着计算机科学技术的迅速发展，越来越多的海量数据信息在许多行业中随之产生，海量数据对数据处理的效率提出了极大的挑战。同时在此背景下分布式计算也得到了大力发展，Hadoop使得用户可以进行超大数据集的分析，但是其基于磁盘的MapReduce的计算严重影响了计算性能，而Spark引入RDD(ResilientDistributedDatasets)基于内存计算迎合了广大用户的需求，极大提高了分布式并行计算的效率。虽然在众多大数据工具中，Spark得到了很大的关注，但是Spark还不是十分完善 ...
汪龙宝
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