云南高校图书馆联盟文献共享服务平台- MULTICLASS

MULTICLASS: 作品数：30被引量：57H指数：4; 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：程淑红张春雷崔萌何兴更多>>; 相关机构：燕山大学滨州医学院华南理工大学北京邮电大学更多>>; 相关期刊：《Intelligent Medicine》《Journal of Electronics(China)》《数码世界》《The Journal of China Universities of Posts and Telecommunications》更多>>; 相关基金：国家自然科学基金中国人民解放军总装备部预研基金国家教育部博士点基金国家重点基础研究发展计划更多>>

Impact of data balancing a multiclass dataset before the creation of association rules to study bacterial vaginosis: 《Intelligent Medicine》2024年第3期188-199,共12页Freddy de la Cruz-Ruiz Juana Canul-Reich Rafael Rivera-López Erick de la Cruz-Hernández; Background Bacterial vaginosis is a polymicrobial syndrome in which the homeostasis exerted by the Latobacillus species that protect the vaginal mucosa has been lost.This study explored the data balancing process with...; 关键词：Bacterial vaginosis Data balancing Random forest Synthetic minority over-sampling technique

An Adaptive Scalable Data Pipeline for Multiclass Attack Classification in Large-Scale IoT Networks: 《Big Data Mining and Analytics》2024年第2期500-511,共12页Selvam Saravanan Uma Maheswari Balasubramanian; The current large-scale Internet of Things(IoT)networks typically generate high-velocity network traffic streams.Attackers use IoT devices to create botnets and launch attacks,such as DDoS,Spamming,Cryptocurrency mini...; 关键词：Internet of Things(IoT) concept drift Apache Spark MONGODB Apache Kafka STREAMING

Hybrid Model of Power Transformer Fault Classification Using C-set and MFCM – MCSVM: 《CSEE Journal of Power and Energy Systems》2024年第2期672-685,共14页Ali Abdo Hongshun Liu Yousif Mahmoud Hongru Zhang Ying Sun Qingquan Li Jian Guo; supported by the National Natural Science Foundation of China under grant Ui966209;Natural Science Foundation of Shandong Province under grant ZR2020ME196.; This paper aims to increase the diagnosis accuracy of the fault classification of power transformers by introducing a new off-line hybrid model based on a combination subset of the et method(C-set)&modified fuzzy C-me...; 关键词：Combination subset of set(C-set)method modified fuzzy C-means(MFCM) optimizable multiclass-SVM(MCSVM) optimized training data(OTD)

Design of recognition algorithm for multiclass digital display instrument based on convolution neural network: 《Biomimetic Intelligence & Robotics》2023年第3期67-74,共8页Xuanzhang Wen Yuxia Wang Qiuguo Zhu Jun Wu Rong Xiong Anhuan Xie; supported by the National Key R&D Program of China(2022YFB4701502);the“Leading Goose”R&D Program of Zhejiang(2023C01177);the Key Research Project of Zhejiang Lab(2021NB0AL03);the Key R&D Project on Agriculture and Social Development in Hangzhou City(Asian Games)(20230701 A05).; Digital display instrument identification is a crucial approach for automating the collection of digital display data.In this study,we propose a digital display area detection CTPNpro algorithm to address the problem ...; 关键词：Multiclass display instrument Digital display area detection Character recognition Convolutional neural network Characteristics of the fusion

Building Detection and Counting in Convoluted Areas Using Multiclass Datasets with Unmanned Aerial Vehicles (UAVs) Imagery: 《Advances in Remote Sensing》2023年第3期71-87,共17页Shital Adhikari Vaghawan Prasad Ojha; This paper studies the effect of breaking single-class building data into multi-class building data for semantic segmentation under end-to-end architecture such as UNet, UNet++, DeepLabV3, and DeepLabv3+. Although, th...; 关键词：Multi-Class Segmentation Building Segmentation Remote Sensing Semantic Segmentation UNet

Adaptive Window Based 3-D Feature Selection for Multispectral Image Classification Using Firefly Algorithm被引量：1: 《Computer Systems Science & Engineering》2023年第1期265-280,共16页M.Rajakani R.J.Kavitha A.Ramachandran; Feature extraction is the most critical step in classification of multispectral image.The classification accuracy is mainly influenced by the feature sets that are selected to classify the image.In the past,handcrafte...; 关键词：Multispectral image modifiedfireﬂy algorithm 3-D feature extraction feature selection multiclass support vector machine CLASSIFICATION

Multiclass stand-alone and ensemble machine learning algorithms utilised to classify soils based on their physico-chemical characteristics被引量：2: 《Journal of Rock Mechanics and Geotechnical Engineering》2022年第2期603-615,共13页Eyo Eyo Samuel Abbey; This study has provided an approach to classify soil using machine learning.Multiclass elements of stand-alone machine learning algorithms(i.e.logistic regression(LR)and artificial neural network(ANN)),decision tree e...; 关键词：Soil classification Physico-chemistry Soil plasticity Machine learning Logistic regression(LR) Machine learning ensembles Artificial neural network(ANN)

Multiclass Cucumber Leaf Diseases Recognition Using Best Feature Selection: 《Computers, Materials & Continua》2022年第2期3281-3294,共14页Nazar Hussain Muhammad Attique Khan Usman Tariq Seifedine Kadry Muhammad Asfand E.Yar Almetwally M.Mostafa Abeer Ali Alnuaim Shafiq Ahmad; The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through research group number RG-1441-425.; Agriculture is an important research area in the field of visual recognition by computers.Plant diseases affect the quality and yields of agriculture.Early-stage identification of crop disease decreases financial loss...; 关键词：Cucumber diseases database preparation deep learning parallel fusion features selection

Multiclass recognition of Alzheimer’s and Parkinson’s disease using various machine learning techniques: A study: 《International Journal of Modeling, Simulation, and Scientific Computing》2022年第1期235-250,共16页Chetan Balaji D.S.Suresh; The aging population is primarily affected by Alzheimer’s disease(AD)that is an incur-able neurodegenerative disorder.There is a need for an automated efficient technique to diagnose Alzheimer’s in its early stage.V...; 关键词：ELECTROENCEPHALOGRAPH support vector machine Alzheimer’s disease control normal machine learning

Improved Bearing Fault Diagnosis by Feature Extraction Based on GLCM, Fusion of Selection Methods, and Multiclass-Naïve Bayes Classification被引量：1: 《Journal of Signal and Information Processing》2021年第4期71-85,共15页Mireille Pouyap Laurent Bitjoka Etienne Mfoumou Denis Toko; The presence of bearing faults reduces the efficiency of rotating machines and thus increases energy consumption or even the total stoppage of the machine. 由于版权政策及相关保密法规原因，条结果未予显示。

MULTICLASS