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WRAPPER: 作品数：97被引量：254H指数：8; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：王腾蛟杨冬青许川佩谷明哲丁国栋更多>>; 相关机构：北京大学桂林电子科技大学中国人民大学中国科学院更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家高技术研究发展计划国家重点基础研究发展计划湖南省自然科学基金更多>>

Integration of UAV LiDAR and WorldView-2 images for modeling mangrove aboveground biomass with GA-ANN wrapper: 《Ecological Processes》2024年第4期346-361,共16页Yuanhui Zhu Soe W.Myint Kai Liu Lin Liu Jingjing Cao; supported by the National Natural Science Foundation of China(Grant Nos.42001358 and 42201353);the Guangdong Basic and Applied Basic Research Foundation(Grant Nos.2021A1515011462 and 2021A1515110157);the Guangzhou Science,Technology and Innovation Commission(Grant No.201804020016);Forestry Science and Technology Innovation Project of Guangdong Province(Grant No.2023KJCX008).; Background Integrating optical and LiDAR data is crucial for accurately predicting aboveground biomass(AGB)due to their complementarily essential characteristics.It can be anticipated that this integration approach ne...; 关键词：MANGROVE LIDAR WorldView-2 Artificial neural network Genetic algorithm Remote sensing

Multi-Objective Equilibrium Optimizer for Feature Selection in High-Dimensional English Speech Emotion Recognition: 《Computers, Materials & Continua》2024年第2期1957-1975,共19页Liya Yue Pei Hu Shu-Chuan Chu Jeng-Shyang Pan; Speech emotion recognition(SER)uses acoustic analysis to find features for emotion recognition and examines variations in voice that are caused by emotions.The number of features acquired with acoustic analysis is ext...; 关键词：Speech emotion recognition filter-wrapper HIGH-DIMENSIONAL feature selection equilibrium optimizer MULTI-OBJECTIVE

Adaptive Kernel Firefly Algorithm Based Feature Selection and Q-Learner Machine Learning Models in Cloud: 《Computer Systems Science & Engineering》2023年第9期2667-2685,共19页I.Mettildha Mary K.Karuppasamy; CC’s(Cloud Computing)networks are distributed and dynamic as signals appear/disappear or lose significance.MLTs(Machine learning Techniques)train datasets which sometime are inadequate in terms of sample for inferrin...; 关键词：Cloud analytics machine learning ensemble learning distributed learning clustering classification auto selection auto tuning decision feedback cloud DevOps feature selection wrapper feature selection Adaptive Kernel Firefly Algorithm(AKFA) Q learning

基于混合进化算法的特征选择方法研究被引量：5: 《电子学报》2023年第6期1619-1636,共18页高慧敏王云鹤卞闯李向涛; 国家自然科学基金(No.62076109)。; 特征选择(Feature Selection,FS)是一种有效的数据预处理方法,它可以通过选择高维数据中一组具有高相关性和低冗余性的特征,从而解决数据冗余引起的维数灾难.目前许多计算方法已经被应用于求解FS问题,其中基于教与学优化(Teaching and L...; 关键词：教与学优化算法局部搜索新型Wrapper混合特征选择算法特征选择分类基因表达数据

Wrapper Based Linear Discriminant Analysis(LDA)for Intrusion Detection in IIoT: 《Computer Systems Science & Engineering》2023年第5期1625-1640,共16页B.Yasotha T.Sasikala M.Krishnamurthy; The internet has become a part of every human life.Also,various devices that are connected through the internet are increasing.Nowadays,the Industrial Internet of things(IIoT)is an evolutionary technology interconnect...; 关键词：Intrusion detection IIoT WRAPPER support vector machine(SVM) LDA random forest(RF) feature selection

File Wrapper Estoppel in China: 《China's Foreign Trade》2023年第2期58-60,共3页Guoxu Yang; Fi le w rapper estoppel is sometimes also referred to as prosecution history estoppel.It is a limitation of the doctrine of equivalents.The basic rationale is that when the patent applicant or patentee narrows down th...; 关键词：RENDER RATIONAL NARROW

A Novel Wrapper-Based Optimization Algorithm for the Feature Selection and Classification被引量：1: 《Computers, Materials & Continua》2023年第3期5799-5820,共22页Noureen Talpur Said Jadid Abdulkadir Mohd Hilmi Hasan Hitham Alhussian Ayed Alwadain; This research was supported by a Researchers Supporting Project Number(RSP2021/309);King Saud University,Riyadh,Saudi Arabia.The authors wish to acknowledge Yayasan Universiti Teknologi Petronas for supporting this work through the research grant(015LC0-308).; Machine learning(ML)practices such as classification have played a very important role in classifying diseases in medical science.Since medical science is a sensitive field,the pre-processing of medical data requires ...; 关键词：Machine learning OPTIMIZATION feature selection CLASSIFICATION medical data

Intrusion Detection Using Ensemble Wrapper Filter Based Feature Selection with Stacking Model: 《Intelligent Automation & Soft Computing》2023年第1期645-659,共15页D.Karthikeyan V.Mohan Raj J.Senthilkumar Y.Suresh; The number of attacks is growing tremendously in tandem with the growth of internet technologies.As a result,protecting the private data from prying eyes has become a critical and tough undertaking.Many intrusion dete...; 关键词：Intrusion detection system(IDS) ensemble wrapperfilter(EWF) stacking model with significant rule power factor(SMSRPF) classifier

Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regions: 《Pedosphere》2022年第5期718-732,共15页Khabat KHOSRAVI Phuong T.T.NGO Rahim BARZEGAR John QUILTY Mohammad T.AALAMI Dieu T.BUI; Water infiltration into soil is an important process in hydrologic cycle;however,its measurement is difficult,time-consuming and costly.Empirical and physical models have been developed to predict cumulative infiltrat...; 关键词：additive regression hybrid algorithms empirical model soil water infiltration weighted instances handler wrapper

A Two-Tier Fuzzy Meta-Heuristic Hybrid Optimization for Dynamic Android Malware Detection: 《Journal of Cyber Security》2022年第3期185-202,共18页K.Santosh Jhansi Sujata Chakravarty P.Ravi Kiran Varma; Application Programming Interface(API)call feature analysis is the prominent method for dynamic android malware detection.Standard benchmark androidmalware API dataset includes featureswith high dimensionality.Not all...; 关键词：Wrapper feature selection multi-verse optimization moth flame optimization whale optimization malware detection classification

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