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CLASSIFIER: 作品数：278被引量：396H指数：9; 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：张英男张敏情刘佳韩国辉王亚强更多>>; 相关机构：四川大学北京理工大学中国人民武装警察部队工程大学烟台大学更多>>; 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中国博士后科学基金国家教育部博士点基金更多>>

Deep Learning and Machine Learning Architectures for Dementia Detection from Speech in Women: 《Computer Modeling in Engineering & Sciences》2025年第3期2959-3001,共43页Ahlem Walha Amel Ksibi Mohammed Zakariah Manel Ayadi Tagrid Alshalali Oumaima Saidani Leila Jamel Nouf Abdullah Almujally; funded by the Deanship of Scientific Research at Princess Nourah bint Abdulrahman University,through the Research Groups Program Grant No.(RGP-1444-0057).; Dementia is a neurological disorder that affects the brain and its functioning,and women experience its effects more than men do.Preventive care often requires non-invasive and rapid tests,yet conventional diagnostic ...; 关键词：Dementia detection in women Alzheimer’s disease deep learning machine learning support vector machine voting classifier

Developing a diagnostic support system for audiogram interpretation using deep learning-based object detection: 《Journal of Otology》2025年第1期26-32,共7页Titipat Achakulvisut Suchanon Phanthong Thanawut Timpitak Kanpat Vesessook Sirinan Junthong Withita Utainrat Kanokrat Bunnag; Objective To develop and evaluate an automated system for digitizing audiograms,classifying hearing loss levels,and comparing their performance with traditional methods and otolaryngologists'interpretations.Designed a...; 关键词：AUDIOGRAM Deep machine learning Training set Validation set Testing set Automatic Machine Learning(AutoML) Random Forest Classifier(RFC) Support Vector Machine(SVM) XGBoost

Drone-Based Public Surveillance Using 3D Point Clouds and Neuro-Fuzzy Classifier: 《Computers, Materials & Continua》2025年第3期4759-4776,共18页Yawar Abbas Aisha Ahmed Alarfaj Ebtisam Abdullah Alabdulqader Asaad Algarni Ahmad Jalal Hui Liu; funded by the Open Access Initiative of the University of Bremen and the DFG via SuUB Bremen.Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2024R348),Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia.; Human Activity Recognition(HAR)in drone-captured videos has become popular because of the interest in various fields such as video surveillance,sports analysis,and human-robot interaction.However,recognizing actions f...; 关键词：Activity recognition geodesic distance pattern recognition neuro fuzzy classifier

Improving Badminton Action Recognition Using Spatio-Temporal Analysis and a Weighted Ensemble Learning Model: 《Computers, Materials & Continua》2024年第11期3079-3096,共18页Farida Asriani Azhari Azhari Wahyono Wahyono; supported by the Center for Higher Education Funding(BPPT)and the Indonesia Endowment Fund for Education(LPDP),as acknowledged in decree number 02092/J5.2.3/BPI.06/9/2022。; Incredible progress has been made in human action recognition(HAR),significantly impacting computer vision applications in sports analytics.However,identifying dynamic and complex movements in sports like badminton re...; 关键词：Weighted ensemble learning badminton action soft voting classifier joint skeleton fast dynamic time warping SPATIOTEMPORAL

Granular classifier:Building traffic granules for encrypted traffic classification based on granular computing: 《Digital Communications and Networks》2024年第5期1428-1438,共11页Xuyang Jing Jingjing Zhao Zheng Yan Witold Pedrycz Xian Li; supported in part by the Shandong Provincial Natural Science Foundation under Grant ZR2021QF008;the National Natural Science Foundation of China under Grant 62072351;in part by the open research project of ZheJiang Lab under grant 2021PD0AB01;in part by the 111 Project under Grant B16037。; Accurate classification of encrypted traffic plays an important role in network management.However,current methods confronts several problems:inability to characterize traffic that exhibits great dispersion,inability ...; 关键词：Encrypted traffic classification Semi-supervised clustering Granular computing Anomaly detection

Detection of Cocoa Leaf Diseases Using the CNN-Based Feature Extractor and XGBOOST Classifier: 《Open Journal of Applied Sciences》2024年第10期2955-2972,共18页Kouassi Simeon Kouassi Mamadou Diarra Kouassi Hilaire Edi Brou Jean-Claude Koua; Among all the plagues threatening cocoa cultivation in general, and particularly in West Africa, the swollen shoot viral disease is currently the most dangerous. The greatest challenge in the fight to eradicate this p...; 关键词：Machine Learning Cocoa Leaf Diseases Deep Learning Convolutional Neural Network Feature Extraction Image Recognition XGBOOST

CMAGAN:classifier-aided minority augmentation generative adversarial networks for industrial imbalanced data and its application to fault prediction: 《Advances in Manufacturing》2024年第3期603-618,共16页Wen-Jie Wang Zhao Liu Ping Zhu; supported by the National Natural Science Foundation of China(Grant No.52375256);the Natural Science Foundation of Shanghai Municipality(Grant Nos.21ZR1431500 and 23ZR1431600).; Class imbalance is a common characteristic of industrial data that adversely affects industrial data mining because it leads to the biased training of machine learning models.To address this issue,the augmentation of ...; 关键词：Class imbalance Minority class augmentation Generative adversarial network(GAN) Boundary strengthening learning(BSL) Fault prediction

A clinical decision support system using rough set theory and machine learning for disease prediction: 《Intelligent Medicine》2024年第3期200-208,共9页Kamakhya Narain Singh Jibendu Kumar Mantri; Objective Technological advances have led to drastic changes in daily life,and particularly healthcare,while traditional diagnosis methods are being replaced by technology-oriented models and paper-based patient healt...; 关键词：Clinical decision support system Disease classification Machine learning classifier Medical data RECOMMENDATION Rough set

A pilot clinical study to evaluate feasibility of using single patient classifier as a prognostic test in stage Ⅱ-Ⅲ gastric cancer patients: 《Chinese Journal of Cancer Research》2024年第4期368-377,共10页Ji Yeong An Sung Eun Oh Soomin Ahn Hyoung-II Kim Yoo Min Kim Minah Cho Keun Won Ryu Hong Man Yoon Young Kyu Park In Gyu Kwon Sung Hoon Noh Kyung Hee Lee In Cho Myoung Won Son Jong Won Kim Young-Woo Kim; partial financial support provided by Novomics (Seoul, Korea); Objective:Precision medicine approaches emphasize the importance of reliable prognostic tools for guiding individualized therapy decisions.In this study,we evaluated the clinical feasibility of the single patient clas...; 关键词：Prognostic test advanced gastric cancer adjuvant chemotherapy FEASIBILITY GASTRECTOMY

FGM-SPCL:Open-Set Recognition Network for Medical Images Based on Fine-Grained Data Mixture and Spatial Position Constraint Loss: 《Chinese Journal of Electronics》2024年第4期1023-1033,共11页Ruru ZHANG Haihong E Lifei YUAN Yanhui WANG Lifei WANG Meina SONG; National Natural Science Foundation of China (Grant No. 62176026);Beijing Natural Science Foundation (Grant No. M22009);Key Research and Development Program of Hebei (Grant No. 22377775D);Engineering Research Center of Information Networks, Ministry of Education。; The current intelligent auxiliary diagnosis models all follow the closed-set recognition setting. After the model is deployed online, the input data is often not completely controlled. Diagnosing an untrained disease ...; 关键词：Few-shot class-incremental learning Embedding augmentation Classifier adaptation Image classification

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