Results 31 to 40 of about 6,730 (208)
Rare Metals, Volume 45, Issue 4, April 2026.ABSTRACT Nickel‐based superalloys (Ni‐based superalloys) have attracted extensive attention in laser additive manufacturing (LAM) due to their capability to directly fabricate complex and high‐performance structural components. However, the rapid melting and solidification inherent to LAM result in intense thermal cycling, which induces high residual ...
Tianxiang Lin +9 more
wiley +1 more source
智能科学与技术学报, 2021 鉴别图像中的真伪人脸是一个长期具有挑战性的问题。当合成的伪造人脸十分逼真时，机器识别难分真假，甚至肉眼也难以区分。基于监督学习的真伪人脸识别建模往往需要大量的标签样本，模型的性能严重依赖样本的规模。提出一种基于半监督学习的人脸识别反欺骗方法，以减少对大量标签样本的依赖。该方法利用图像修复模型来学习人脸图像潜在的数据分布。在训练过程中，少量标签样本周期性地提供有监督信号来训练分类器，以区分真伪人脸。该方法可用于不同场景的伪造人脸，如基于摄像头拍摄的人脸或生成对抗网络生成的人脸。在NUAA ...
李莉, 曾伟良, 黄永慧, 孙为军
doaj
Classifier of silicon content in hot metal based on support vector machines(基于支持向量机的高炉铁水硅含量多类别分类)
Zhejiang Daxue xuebao. Lixue ban, 2007 支持向量机是基于统计学习理论发展而来的一种机器学习算法，本文介绍了非线性软间隔分类机、最小二乘分类机和加权最小二乘分类机的算法.以山东莱钢1号高炉在线采集数据作为应用案例，使用C-均值算法对[Si]做聚类分析将其分成5类，改进M-ary分类方法实现对铁水硅质量分数[Si]的多类别分类，并对各分类机的性能作出评价.
JIANLing(渐令) +2 more
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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
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Optimized Design of Cu‐Ni‐Co‐Si Alloy Combining Machine Learning and Experimental Feedback
Rare Metals, Volume 45, Issue 4, April 2026.ABSTRACT The machine learning method was employed to accelerate alloy design, and experimental feedback was provided to enhance predictive accuracy. A Cu‐2.7Ni‐1.0Co‐0.8Si alloy with superior properties was selected using a double‐objective optimization algorithm.
Shifang Li +3 more
wiley +1 more source
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
, 2018 Bibliometric analyses are capable of demonstrating the history and the tendency of scientific and technological development. This article aims to use big scientific data to explore the present status of plant phenomics, based on which sound ...
Chen, Rongrong +7 more
core +1 more source
Rare Metals, Volume 45, Issue 4, April 2026.ABSTRACT Graphitic carbon nitride (g‐C3N4) doped with 3d transition metals (3d‐TM@g‐C3N4) has gained attention as a noble metal‐free alternative for oxygen evolution and reduction reactions (OER/ORR). Yet the key mechanisms driving its performance remain debated, especially across different charge states.
Jing Zhang +6 more
wiley +1 more source
Rare Metals, Volume 45, Issue 4, April 2026.ABSTRACT Moisture‐enabled electricity generation technology offers a new paradigm for sustainable energy harvesting, but its practical applications are still limited by issues such as low output power and insufficient long‐term stability. In this paper, an asymmetric sandwich‐structured hydrogel moist–electric generator (SSHMEG) with an ion ...
Peng Chen +7 more
wiley +1 more source
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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