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Construction of Rapid Detection Model for Veterinary Drug Residues in Raw Milk Based on Machine Learning Modeling and Federated Learning Optimization(基于机器学习与联邦学习的原奶兽药残留快速检测模型构建) [PDF]
Shipin kexue jishu xuebaoTo achieve rapid and low-cost risk identification of veterinary drug residues in raw milk, this study proposed a machine learning and federated learning based method for rapidly detecting veterinary drug residues in raw milk, focusing on the routine ...
CHENG Wenxu(程文序) +5 more
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Zhongguo youzhi, 2023 为实现山茶油与3种常见食用植物油(菜籽油、大豆油和玉米油)的区分，制备可视化传感器阵列，采用嗅觉可视化技术对4种不同种类的食用植物油进行分类识别。采用主成分分析(PCA)对4种油样的特征数据进行降维，然后将降维后的数据导入K近邻(KNN)、极限学习机(ELM)、支持向量机(SVM) 3种分类模型中进行模型参数优化，对比了3种分类模型的分类结果。结果表明：建立的SVM分类模型性能最优，当输入主成分向量数为7、c=1.741 1、g=4.549 8时，SVM分类模型的测试集分类识别准确率为95.8 ...
杨干， 李大鹏，文韬，蒋涵，龚中良 YANG Gan, LI Dapeng, WEN Tao, JIANG Han, GONG Zhongliang
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ADHD classification based on a multi-objective support vector machine [PDF]
, 2020 Attention deficit hyperactivity disorder (ADHD) is one of the most common mental disorders during childhood, which lasts until adulthood in most cases.
Dong-hui ZHANG +2 more
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红外光谱快速识别食用植物油种类的研究Fast identification of edible vegetable oil kinds by infrared spectroscopy
Zhongguo youzhi, 2023 为实现食用植物油种类的快速无损识别，为公安实战中打击“食药环”犯罪提供参考，借助衰减全反射-傅里叶变换红外光谱技术对不同类别、品牌食用植物油进行了多层次分类识别工作。采用标准正态变换（SNV）和一阶导数预处理消除基线和其他背景干扰，使得重叠峰发生分离，从而提高检测的分辨率和灵敏度，利用竞争性自适应重加权算法（CARS）提取特征波长，结合基于布谷鸟搜索算法优化的极限学习机（CS-ELM）模型对不同种类和品牌的食用植物油进行分类识别，同时对比随机森林模型与CARS-CS ...
接昭玮1, 李绅2, 汪睿璇3，王继芬1，张震1, 徐晓杰4，周娣4，石学军4 JIE Zhaowei1, LI Shen2, WANG Ruixuan3, WANG Jifen1, ZHANG Zhen1, XU Xiaojie4, ZHOU Di4, SHI Xuejun4
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Adaptive Weight Based Broad Learning Algorithm for Cascaded Enhanced Nodes [PDF]
, 2022 In the era of intelligence,continuous autonomous learning and optimization need to be carried out on the big data platform,and the first step of continuous autonomous learning is data enhancement.This paper proposes a broad learning method based on ...
CAI Xin-yu, FENG Xiang, YU Hui-qun
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Gaoya dianqi, 2020 针对极限学习机缺乏稳定性对变压器故障诊断造成不良影响的问题,文中引入具有更好泛化能力的正则极限学习机,提出一种基于NSGA2优化正则极限学习机的变压器故障诊断方法。该方法以油中溶解气体含量比值作为特征输入,用NSGA2优化正则极限学习机随机生成的输入层权值与隐层偏置,避免了输出层权值矩阵过大,从而提高模型稳定性和诊断精度。仿真实验结果表明,相比于传统正则极限学习机,文中方法有更高的故障诊断正确率,是一种有效的变压器故障诊断方法。
王春明, 朱永利
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Overview of anomaly detection techniques for industrial Internet of things [PDF]
, 2022 In view of the differences of existing anomaly detection methods and the applicability when applied to security protection of the industrial Internet of things (IIoT), based on technical principles, the network anomaly detection papers published from ...
Haili SUN +4 more
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Zhongguo shiyan zhenduanxue, 2022 在我国医学教育中，住院医师规范化培训（简称住培）是培养医生的主要方式，是住院医师知识理论与实际相结合的重要途径。肾脏内科是内科学的重要分支之一，该学科具有理论性强、实践性强等特点，发病机制抽象复杂，部分疾病没有特异的症状与体征等，认识理解及实践操作均存在一定的难度。此外，住院医师工作任务多而重，如何在有限的培训时间内，怎样提升学习积极性与培训效果，
侯洁 +5 more
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Adopting e-hailing application among Malaysian millennials. [PDF]
, 2020 e-hailing apps dominate the public taxi transport sector all over the globe. Different researchers study this disruptive business model from a different perspective.
Mohamed Razi, Mohamed Jalaldeen +2 more
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Research Progress on the Application of Spectroscopy in Meat Spoilage Detection [PDF]
, 2023 The growth and metabolism of microorganisms is the main cause of meat spoilage. The rapid and nondestructive techniques for detecting microorganisms in meat have attracted more and more attentions.
LIU Qingsen, LUO Xin, DONG Pengcheng, HAO Jiangang, MAO Yanwei, CHENG Haijian, ZHANG Yimin
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