BAYES

作品数:844被引量:2471H指数:18
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基于SRCC与Bayes_KNN的涡扇发动机剩余使用寿命预测
《陕西理工大学学报(自然科学版)》2024年第6期27-35,共9页李东君 王海瑞 李亚 朱贵富 
国家自然科学基金项目(61863016)。
利用斯皮尔曼秩相关系数(SRCC)、贝叶斯(Bayesian)、k最近邻(KNN)算法提出了一种新的航空发动机剩余使用寿命预测方法。为解决关键特征提取不足问题,首先,利用SRCC方法对发动机的历史多元监测特征进行筛选,提取出衰退性能趋势明显的监...
关键词:涡扇发动机 Spearman秩相关系数 贝叶斯优化算法 k最近邻 剩余使用寿命 
GRU Enabled Intrusion Detection System for IoT Environment with Swarm Optimization and Gaussian Random Forest Classification
《Computers, Materials & Continua》2024年第10期625-642,共18页Mohammad Shoab Loiy Alsbatin 
the Deanship of Scientific Research at Shaqra University for funding this research work through the project number(SU-ANN-2023051).
In recent years,machine learning(ML)and deep learning(DL)have significantly advanced intrusion detection systems,effectively addressing potential malicious attacks across networks.This paper introduces a robust method...
关键词:Machine learning intrusion detection IOT gated recurrent unit particle swarm optimization random forest Gaussian Naïve Bayes 
Deep Learning-Based Classification of Rotten Fruits and Identification of Shelf Life
《Computers, Materials & Continua》2024年第1期781-794,共14页S.Sofana Reka Ankita Bagelikar Prakash Venugopal V.Ravi Harimurugan Devarajan 
The freshness of fruits is considered to be one of the essential characteristics for consumers in determining their quality,flavor and nutritional value.The primary need for identifying rotten fruits is to ensure that...
关键词:Rotten fruit detection shelf life deep learning convolutional neural network machine learning gaussian naïve bayes random forest visual geometry group16 
New Spam Filtering Method with Hadoop Tuning-Based MapReduce Naïve Bayes
《Computer Systems Science & Engineering》2023年第4期201-214,共14页Keungyeup Ji Youngmi Kwon 
As the importance of email increases,the amount of malicious email is also increasing,so the need for malicious email filtering is growing.Since it is more economical to combine commodity hardware consisting of a medi...
关键词:HADOOP hadoop distributed file system(HDFS) MAPREDUCE configuration parameter malicious email filtering Naïve Bayes 
Twitter Media Sentiment Analysis to Convert Non-Informative to Informative Using QER
《Intelligent Automation & Soft Computing》2023年第3期3545-3555,共11页C.P.Thamil Selvi P.Muneeshwari K.Selvasheela D.Prasanna 
The term sentiment analysis deals with sentiment classification based on the review made by the user in a social network.The sentiment classification accuracy is evaluated using various selection methods,especially thos...
关键词:Sentiments QER SVM bayes multinomial big data analysis simulated annealing 
基于Bayes的饮食装备维修性验证与评估研究
《计算机仿真》2023年第1期19-24,共6页宁初明 刘永新 沈灿铎 李燕军 
军队计划科研项目(JK20191A080464)。
针对饮食装备维修性数据小子样问题,利用Bayes理论和可信度加权的多源信息融合理论对饮食装备维修性进行了验证与评估分析。首先对基于Bayes的小子样维修性评估模型进行了分析,并得到维修性评估所需的最小试验样本量计算方法,然后对平...
关键词:饮食装备 维修性 仿真 
Review:Heart Diseases Detection by Machine Learning Classification Algorithms
《Journal of Harbin Institute of Technology(New Series)》2022年第4期81-92,共12页Pothala Ramya Ashapu Bhavani Sangeeta Viswanadham 
Most human deaths are caused by heart diseases.Such diseases cannot be efficiently detected for the lack of specialized knowledge and experience.Data science is important in healthcare sector for the role it plays in ...
关键词:Logistic Regression SVM k⁃NN t⁃SNE Naïve Bayes Random Forest 
Ensemble Variable Selection for Naive Bayes to Improve Customer Behaviour Analysis
《Computer Systems Science & Engineering》2022年第4期339-355,共17页R.Siva Subramanian D.Prabha 
Executing customer analysis in a systemic way is one of the possible solutions for each enterprise to understand the behavior of consumer patterns in an efficient and in-depth manner.Further investigation of customer p...
关键词:Naive bayes or simple bayes variable selection homogeneous ensemble heterogeneous ensemble customer prediction 
基于Bayes-BP算法的跨境电商平台采购量预测被引量:6
《计算机应用与软件》2021年第12期91-96,共6页孙桐 徐斌 贾航 
传统预测采购量采用时间序列,预测模型较为单一。而平台采购量与消费者的多种消费行为有关。故采用Granger因果检测,得到影响商品销量相关性较高的几种因素,如商品评论量、商品收藏量、是否有税费补贴等;利用Bayes-BP算法建立模型,优化...
关键词:采购预测 Bayes-BP算法 Granger因果检测 跨境电商平台 
Naïve Bayes Algorithm for Large Scale Text Classification
《Instrumentation》2021年第4期55-62,共8页Pirunthavi SIVAKUMAR Jayalath EKANAYAKE 
This paper proposed an improved Naïve Bayes Classifier for sentimental analysis from a large-scale dataset such as in YouTube.YouTube contains large unstructured and unorganized comments and reactions,which carry impo...
关键词:Naïve Bayes Text Classification YOUTUBE Sentimental Analysis 
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