Results 61 to 70 of about 6,023 (236)
Conservation Biology, Volume 38, Issue 3, June 2024.Abstract Ecosystem state transitions can be ecologically devastating or be a restoration success. State transitions are common within aquatic systems worldwide, especially considering human‐mediated changes to land use and water use. We created a transferable conceptual framework to enable multiscale assessments of state resilience and early warnings ...
John T. Delaney, Danelle M. Larson
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Research and Application of Demand Recognition Method Based on Template Matching [PDF]
, 2015 传统的搜索引擎的搜索方式是基于倒排索引的全文检索，也就是根据搜索语句查询索引库中的检索方式，并没有很好地利用搜索语句所表达的含义，这样就不能准确识别出用户的具体需求，势必会给用户带来更大的搜索成本。垂直搜索的引入解决了传统搜索引擎的这一不足，而实现垂直搜索首先就是要识别用户搜索语句的含义，这也是自然语言处理所要解决的问题。 本文设计了基于模板匹配的需求识别算法，并在这个需求识别算法的基础上针对股票垂直类目词典挖掘的具体应用进行了设计与验证，提出了相关的数据结构和算法 ...
陈康
core
大数据随着地下水利、水务管网对材料需求的多样性和复杂性日益加剧，通过机器学习高效便捷地设计满足个性化需求的特种材料成为人们关注的热点。传统监督学习方法均以大量数据训练建模为基础，但从深埋地下水务管网、高端军工设备等领域所需的特种材料，如稀贵高熵合金等获取大数据集，需要的成本极高且周期较长。为了解决该问题，提出了一种小样本扩充模型——RX-SMOGN，使用极致梯度提升模型和使用交叉验证的递归特征消除算法进行特征筛选，使用SMOGN算法扩充数据集。提出以高熵合金相结构为研究对象 ...
杨涛, 张兆波, 郑添屹, 彭保
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Conservation Biology, Volume 38, Issue 3, June 2024.Abstract Multifunctional landscapes that support economic activities and conservation of biological diversity (e.g., cattle ranches with native forest) are becoming increasingly important because small remnants of native forest may comprise the only habitat left for some wildlife species. Understanding the co‐occurrence between wildlife and disturbance
Juliana Vélez +4 more
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Design and Implementation of Students’ Comprehensive Evaluation System Based on SSH Framework [PDF]
, 2015 随着各高校进一步加强综合素质教育，全面客观评价大学生在校期间的表现显得尤为重要。因此，建立一个方便易用的学生综合评价系统，并提出一种能相对客观准确的进行学生评价的方法以方便奖学金发放等具有十分积极的意义。依据上述相关类教务系统的需求以及数据与服务相分离的原则，采用集成SSH框架的JavaEE技术，构建一种B/S模式的Web应用，能够将需求划分为表现层、业务逻辑层、数据持久层的简明体系结构，方便清晰，可复用、易维护。同时，为了客观评价学生，以广泛收集学生在校期间表现的活动数据为基础 ...
梅琳
core
Deep Learning-assisted Accurate Defect Reconstruction Using Ultrasonic Guided Waves:一种基于深度学习的超声导波缺陷重构方法 [PDF]
, 2020 Ultrasonic guided wave technology has played a significant role in the field of nondestructive testing due to its advantages of high propagation efficiency and low energy consumption.
Da, Y. +5 more
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GCB Bioenergy, Volume 16, Issue 5, May 2024.Biomass contains complex sugars and aromatic polymers that have the potential to serve as sustainable alternatives to fossil fuels and chemicals. Fungi possess specialized enzyme systems capable of breaking down lignocellulose into fermentable building blocks. This review analyses recent advancements in intricate fungal decomposition toolkits, shedding
Fengyun Ren +5 more
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智能科学与技术学报, 2019 机器学习根据历史数据的模式预测未来，近年来进行了大量研究并得到了应用，但在处理动态、非完整、非结构化信息上与人类相去甚远。为此，引入人的决策，结合机器学习、知识库，构建了一个人在回路的混合增强智能闭环系统。基于 Sawyer 协作机器人搭建了人机融合实验平台，设计了机器人抓取实验。实验结果表明，相比单一机器学习方式，在引入人类智能后，Sawyer在应对非结构化环境下的抓取任务中表现更佳。
付海军 +4 more
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Performance of machine‐learning approach for prediction of pre‐eclampsia in a middle‐income country
Ultrasound in Obstetrics &Gynecology, Volume 63, Issue 3, Page 350-357, March 2024.ABSTRACT Objective Pre‐eclampsia (PE) is a serious complication of pregnancy associated with maternal and fetal morbidity and mortality. As current prediction models have limitations and may not be applicable in resource‐limited settings, we aimed to develop a machine‐learning (ML) algorithm that offers a potential solution for developing accurate and ...
J. Torres‐Torres +10 more
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He jishu随着高能核物理研究进入多维度、高复杂度数据分析阶段，深度学习技术正逐步成为理解极端条件下核物质行为的关键工具，并推动研究范式从经验驱动向数据驱动的根本转变。本文简要梳理了机器学习在该领域的演进，并着重介绍了深度学习方法在其中的前沿进展：早期（20世纪末至21世纪10年代）研究主要采用人工神经网络和支持向量机等传统算法，通过核质量预测、相变识别等任务验证了机器学习处理核物理问题的可行性，但受限于人工特征提取和计算能力的制约，尚未触及物理特征的自主挖掘；深度学习时代（21世纪10年代至今 ...
张 靖宗 +4 more
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