云南高校图书馆联盟文献共享服务平台- OVERSAMPLING

OVERSAMPLING: 作品数：48被引量：70H指数：5; 导出分析报告; 相关领域：电子电信更多>>; 相关作者：李卫红熊剑更多>>; 相关机构：广东精一规划信息科技股份有限公司华南师范大学电子科技大学更多>>; 相关期刊：《Journal of Beijing Institute of Technology》《Frontiers of Computer Science》《Frontiers in Heat and Mass Transfer》《Opto-Electronic Advances》更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家重点基础研究发展计划上海市自然科学基金更多>>

Diagnostic Method for Load Deviation in Ultra-Supercritical Units Based on MLNaNBDOS: 《Frontiers in Heat and Mass Transfer》2025年第1期95-129,共35页Mingzhu Tang YujieHuang Dongxu Ji Hao Yu; supported by the National Natural Science Foundation of China(Grant No.62173050);Shenzhen Municipal Science and Technology Innovation Committee(Grant No.KCXFZ20211020165004006);Natural Science Foundation of Hunan Province of China(Grant No.2023JJ30051);Hunan Provincial Graduate Student Research Innovation Project(Grant No.QL20230214);Major Scientific and Technological Innovation Platform Project of Hunan Province(2024JC1003);Hunan Provincial University Students’Energy Conservation and Emission Reduction Innovation and Entrepreneurship Education Center(Grant No.2019-10).; Load deviations between the output of ultra-supercritical(USC)coal-fired power units and automatic generation control(AGC)commands can adversely affect the safe and stable operation of these units and grid load dispat...; 关键词：Ultra-supercritical units load deviation multi-label learning class imbalance data oversampling

Oversampling-Enhanced Feature Fusion-Based Hybrid ViT-1DCNN Model for Ransomware Cyber Attack Detection: 《Computer Modeling in Engineering & Sciences》2025年第2期1667-1695,共29页Muhammad Armghan Latif Zohaib Mushtaq Saifur Rahman Saad Arif Salim Nasar Faraj Mursal Muhammad Irfan Haris Aziz; Ransomware attacks pose a significant threat to critical infrastructures,demanding robust detection mechanisms.This study introduces a hybrid model that combines vision transformer(ViT)and one-dimensional convolutiona...; 关键词：Ransomware attacks CYBERSECURITY vision transformer convolutional neural network feature fusion ENCRYPTION threat detection

Risk assessment of rockburst using SMOTE oversampling and integration algorithms under GBDT framework: 《Journal of Central South University》2024年第8期2891-2915,共25页WANG Jia-chuang DONG Long-jun; Project(52161135301)supported by the International Cooperation and Exchange of the National Natural Science Foundation of China;Project(202306370296)supported by China Scholarship Council。; Rockburst is a common geological disaster in underground engineering,which seriously threatens the safety of personnel,equipment and property.Utilizing machine learning models to evaluate risk of rockburst is graduall...; 关键词：rockburst evaluation SMOTE oversampling random search grid K-fold cross-validation confusion matrix

Learning Vector Quantization-Based Fuzzy Rules Oversampling Method: 《Computers, Materials & Continua》2024年第6期5067-5082,共16页Jiqiang Chen Ranran Han Dongqing Zhang Litao Ma; funded by the National Science Foundation of China(62006068);Hebei Natural Science Foundation(A2021402008),Natural Science Foundation of Scientific Research Project of Higher Education in Hebei Province(ZD2020185,QN2020188);333 Talent Supported Project of Hebei Province(C20221026).; Imbalanced datasets are common in practical applications,and oversampling methods using fuzzy rules have been shown to enhance the classification performance of imbalanced data by taking into account the relationship ...; 关键词：OVERSAMPLING fuzzy rules learning vector quantization imbalanced data support function machine

A novel graph oversampling framework for node classification in class-imbalanced graphs: 《Science China(Information Sciences)》2024年第6期210-225,共16页Riting XIA Chunxu ZHANG Yan ZHANG Xueyan LIU Bo YANG; supported by National Key R&D Program of China(Grant No.2021ZD0112500);National Natural Science Foundation of China(Grant Nos.U22A2098,62172185,62202200,62206105);Fundamental Research Funds for the Central Universities,JLU。; Graph neural network(GNN)is a promising method to analyze graphs.Most existing GNNs adopt the class-balanced assumption,which cannot deal with class-imbalanced graphs well.The oversampling technique is effective in al...; 关键词：graph neural network class-imbalanced graphs sum-product network OVERSAMPLING node class-ification

Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning: 《Big Data Mining and Analytics》2024年第2期294-314,共21页Shahriar Kaisar Md Mamunur Rashid Abdullahi Chowdhury Sakib Shahriar Shafin Joarder Kamruzzaman Abebe Diro; Telemarketing is a well-established marketing approach to offering products and services to prospective customers.The effectiveness of such an approach,however,is highly dependent on the selection of the appropriate c...; 关键词：machine learning online learning OVERSAMPLING TELEMARKETING imbalanced dataset ensemble model

An Efficient Modelling of Oversampling with Optimal Deep Learning Enabled Anomaly Detection in Streaming Data被引量：1: 《China Communications》2024年第5期249-260,共12页R.Rajakumar S.Sathiya Devi; Recently,anomaly detection(AD)in streaming data gained significant attention among research communities due to its applicability in finance,business,healthcare,education,etc.The recent developments of deep learning(DL...; 关键词：anomaly detection deep learning hyperparameter optimization OVERSAMPLING SMOTE streaming data

Joint Sample Position Based Noise Filtering and Mean Shift Clustering for Imbalanced Classification Learning: 《Tsinghua Science and Technology》2024年第1期216-231,共16页Lilong Duan Wei Xue Jun Huang Xiao Zheng; This work was supported in part by the Anhui Provincial Natural Science Foundation(No.2208085MF168);the Program for Synergy Innovation in the Anhui Higher Education Institutions of China(Nos.GXXT-2019-025 and GXXT-2022-052).; The problem of imbalanced data classification learning has received much attention.Conventional classification algorithms are susceptible to data skew to favor majority samples and ignore minority samples.Majority wei...; 关键词：imbalanced data classification OVERSAMPLING noise filtering CLUSTERING

Multifractal estimation of NMR T_(2) cut-off value in low-permeability rocks considering spectrum kurtosis: SMOTE-based oversampling integrated with machine learning被引量：1: 《Petroleum Science》2023年第6期3411-3427,共17页Xiao-Jun Chen Rui-Xue Zhang Xiao-Bo Zhao Jun-Wei Yang Zhang-Jian Lan Cheng-Fei Luo Jian-Chao Cai; supported by National Natural Science Foundation of China(Nos.42002171,42172159);China Postdoctoral Science Foundation(Nos.2020TQ0299,2020M682520);Postdoctoral Innovation Science Foundation of Hubei Province of China.; The transverse relaxation time (T_(2)) cut-off value plays a crucial role in nuclear magnetic resonance for identifying movable and immovable boundaries, evaluating permeability, and determining fluid saturation in pe...; 关键词：Nuclear magnetic resonance Low-permeability porous media T_(2)cut-off value Fractal and multifractal Data augmentation Machine learning

Deep Learning Based Sentiment Analysis of COVID-19 Tweets via Resampling and Label Analysis: 《Computer Systems Science & Engineering》2023年第10期575-591,共17页Mamoona Humayun Danish Javed Nz Jhanjhi Maram Fahaad Almufareh Saleh Naif Almuayqil; This work was funded by the Deanship of Scientific Research at Jouf University under Grant Number(DSR2022-RG-0105).; Twitter has emerged as a platform that produces new data every day through its users which can be utilized for various purposes.People express their unique ideas and views onmultiple topics thus providing vast knowled...; 关键词：Bi-directional deep learning RESAMPLING random minority oversampling sentiment analysis class label analysis

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