Artículos de revistas sobre el tema "MSVM"
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Indrawan, Gede, Heri Setiawan y Aris Gunadi. "Multi-class SVM Classification Comparison for Health Service Satisfaction Survey Data in Bahasa". HighTech and Innovation Journal 3, n.º 4 (1 de diciembre de 2022): 425–42. http://dx.doi.org/10.28991/hij-2022-03-04-05.
Texto completoChen, Xiao Yun, Xian Fu Chen, Shao Quan Zhang y Wen Bin Zhang. "Classification Moving Vehicle Based on Multisensor Data Using Fusion of Multi-Class SVMs Methods". Advanced Materials Research 945-949 (junio de 2014): 1978–81. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1978.
Texto completoZhang, Shuai. "Quality Diagnosis in Dynamic Process Based on Multi-Feature". Advanced Materials Research 945-949 (junio de 2014): 1293–96. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.1293.
Texto completoRenukalatha, S. y K. V. Suresh. "CLASSIFICATION OF GLAUCOMA USING SIMPLIFIED-MULTICLASS SUPPORT VECTOR MACHINE". Biomedical Engineering: Applications, Basis and Communications 31, n.º 05 (9 de septiembre de 2019): 1950039. http://dx.doi.org/10.4015/s101623721950039x.
Texto completoLiu, Yumin y Haofei Zhou. "MSVM Recognition Model for Dynamic Process Abnormal Pattern Based on Multi-Kernel Functions". Journal of Systems Science and Information 2, n.º 5 (25 de octubre de 2014): 473–80. http://dx.doi.org/10.1515/jssi-2014-0473.
Texto completoKaka, Jhansi Rani y K. Satya Prasad. "Differential Evolution and Multiclass Support Vector Machine for Alzheimer’s Classification". Security and Communication Networks 2022 (13 de enero de 2022): 1–13. http://dx.doi.org/10.1155/2022/7275433.
Texto completoTopannavar, Preeti Sadanand y Dinkar M. Yadav. "An effective feature selection using improved marine predators algorithm for Alzheimer’s disease classification". International Journal of Electrical and Computer Engineering (IJECE) 13, n.º 5 (1 de octubre de 2023): 5126. http://dx.doi.org/10.11591/ijece.v13i5.pp5126-5134.
Texto completoZhang, Min y Wenming Cheng. "Recognition of Mixture Control Chart Pattern Using Multiclass Support Vector Machine and Genetic Algorithm Based on Statistical and Shape Features". Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/382395.
Texto completoJiang, Hong, Xi Chen, Bai Lin Liu y Yun Qing Liu. "Breast Tumor Recognition Based on Multiple Support Vector Machine". Advanced Materials Research 490-495 (marzo de 2012): 252–56. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.252.
Texto completoLiu, Yu Min, Hao Fei Zhou y Shuai Zhang. "A MSVM Quality Pattern Recognition Model for Dynamic Process". Applied Mechanics and Materials 433-435 (octubre de 2013): 555–61. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.555.
Texto completoLiu, Xiaoguang, Lu Shi, Cong Ye, Yangyang Li y Jing Wang. "Research on Mental Workload of Deep-Sea Oceanauts Driving Operation Tasks from EEG Data". Bioengineering 10, n.º 9 (31 de agosto de 2023): 1027. http://dx.doi.org/10.3390/bioengineering10091027.
Texto completoMartins, Maria, Cristina Santos, Lino Costa y Anselmo Frizera. "Feature reduction with PCA/KPCA for gait classification with different assistive devices". International Journal of Intelligent Computing and Cybernetics 8, n.º 4 (9 de noviembre de 2015): 363–82. http://dx.doi.org/10.1108/ijicc-04-2015-0012.
Texto completoGuo, Ming Wei, Shi Hong Ni y Jia Hai Zhu. "Diagnosing Intermittent Faults to Restrain BIT False Alarm Based on EMD-MSVM". Applied Mechanics and Materials 105-107 (septiembre de 2011): 729–32. http://dx.doi.org/10.4028/www.scientific.net/amm.105-107.729.
Texto completoHe, Ai Xiang, Yong Qiang Wang y Yan Rong Shi. "An Approach to Subtype Recognition and Extraction of Informative Genes for SRBCT". Applied Mechanics and Materials 40-41 (noviembre de 2010): 619–24. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.619.
Texto completoDong, Shaojiang, Dihua Sun, Baoping Tang, Zhenyuan Gao, Wentao Yu y Ming Xia. "A Fault Diagnosis Method for Rotating Machinery Based on PCA and Morlet Kernel SVM". Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/293878.
Texto completoRustam, Zuherman, Arfiani Arfiani y Jacub Pandelaki. "Cerebral infarction classification using multiple support vector machine with information gain feature selection". Bulletin of Electrical Engineering and Informatics 9, n.º 4 (1 de agosto de 2020): 1578–84. http://dx.doi.org/10.11591/eei.v9i4.1997.
Texto completoXiao, Yun, Chongzhao Han, Qinghua Zheng y Junjie Zhang. "Network intrusion detection method based on RS-MSVM". Journal of Electronics (China) 23, n.º 6 (noviembre de 2006): 901–5. http://dx.doi.org/10.1007/s11767-005-0078-x.
Texto completoMohd Amidon, Aqib Fawwaz, Noratikah Zawani Mahabob, Siti Mariatul Hazwa Mohd Huzir, Zakiah Mohd Yusoff, Nurlaila Ismail y Mohd Nasir Taib. "MSVM Modelling on Agarwood Oil Various Qualities Classification". Journal of Electrical & Electronic Systems Research 21, OCT2022 (1 de noviembre de 2022): 108–13. http://dx.doi.org/10.24191/jeesr.v21i1.014.
Texto completoZhang, Min, Zhenyu Cai y Wenming Cheng. "Multiple-Fault Diagnosis Method Based on Multiscale Feature Extraction and MSVM_PPA". Shock and Vibration 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/6209371.
Texto completoKishore, Bhamidipati, Ali Yasar, Yavuz Selim Taspinar, Ramazan Kursun, Ilkay Cinar, Venkatesh Gauri Shankar, Murat Koklu y Isaac Ofori. "Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction". Computational Intelligence and Neuroscience 2022 (10 de agosto de 2022): 1–10. http://dx.doi.org/10.1155/2022/2062944.
Texto completoFattah, Mohamed Abdel. "The Use of MSVM and HMM for Sentence Alignment". Journal of Information Processing Systems 8, n.º 2 (30 de junio de 2012): 301–14. http://dx.doi.org/10.3745/jips.2012.8.2.301.
Texto completoCreager, Mark A., Marc P. Bonaca, Mary M. McDermott, Judith G. Regensteiner y Heather L. Gornik. "In Memoriam: William R. Hiatt, MD, MSVM (1950–2020)". Vascular Medicine 26, n.º 4 (2 de junio de 2021): 469–74. http://dx.doi.org/10.1177/1358863x211012052.
Texto completoS Brinthakumari, Priyanka Dhiraj Sananse, Punam Bagul. "mSVM: An Approach for Customer Churn Prediction using modified Support Vector Machine and various Machine Learning Techniques". Proceeding International Conference on Science and Engineering 11, n.º 1 (18 de febrero de 2023): 1158–69. http://dx.doi.org/10.52783/cienceng.v11i1.258.
Texto completoZhou, Shao Na, Shao Rui Xu y Hua Xiao. "A Novel Background Subtraction Method Using Multiclass Support Vector Machine". Applied Mechanics and Materials 701-702 (diciembre de 2014): 265–69. http://dx.doi.org/10.4028/www.scientific.net/amm.701-702.265.
Texto completoYang, Xue Mei, Long Zhang y Zhi Xi Li. "Vinegar Identification by Ultraviolet Spectrum Technology and Improved Multi-Class Support Vector Machines". Advanced Materials Research 271-273 (julio de 2011): 1657–60. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.1657.
Texto completoRavish, Rahul Katarya, Deepak Dahiya y Saksham Checker. "Fake News Detection System Using Featured-Based Optimized MSVM Classification". IEEE Access 10 (2022): 113184–99. http://dx.doi.org/10.1109/access.2022.3216892.
Texto completoSun, Yongkui, Guo Xie, Yuan Cao y Tao Wen. "Strategy for Fault Diagnosis on Train Plug Doors Using Audio Sensors". Sensors 19, n.º 1 (20 de diciembre de 2018): 3. http://dx.doi.org/10.3390/s19010003.
Texto completoRagab, Mahmoud, Khalid Eljaaly, Nabil A. Alhakamy, Hani A. Alhadrami, Adel A. Bahaddad, Sayed M. Abo-Dahab y Eied M. Khalil. "Deep Ensemble Model for COVID-19 Diagnosis and Classification Using Chest CT Images". Biology 11, n.º 1 (29 de diciembre de 2021): 43. http://dx.doi.org/10.3390/biology11010043.
Texto completoWajeed, Mohammed Abdul, Shivam Tiwari, Rajat Gupta, Aamir Junaid Ahmad, Seema Agarwal, Sajjad Shaukat Jamal y Simon Karanja Hinga. "A Breast Cancer Image Classification Algorithm with 2c Multiclass Support Vector Machine". Journal of Healthcare Engineering 2023 (8 de julio de 2023): 1–12. http://dx.doi.org/10.1155/2023/3875525.
Texto completoLi, Yuanhong, Congyue Wang, Chaofeng Wang, Yangfan Luo y Yubin Lan. "An Intelligent Detection Method for Obstacles in Agricultural Soil with FDTD Modeling and MSVMs". Electronics 12, n.º 11 (29 de mayo de 2023): 2447. http://dx.doi.org/10.3390/electronics12112447.
Texto completoS., A., Md Bayazid y Mohammad Motiur. "Fruit Disease Recognition and Automatic Classification using MSVM with Multiple Features". International Journal of Computer Applications 181, n.º 10 (14 de agosto de 2018): 12–15. http://dx.doi.org/10.5120/ijca2018916773.
Texto completoDevi, Kaveri y Arshdeep Kaur. "MSVM Based Technique Used To Detect Diabetic Retinopathy at Early Stage". International Journal of Computer Sciences and Engineering 9, n.º 3 (31 de marzo de 2021): 34–40. http://dx.doi.org/10.26438/ijcse/v9i3.3440.
Texto completoDevi, Samiksha. "Performance Analysis of MSVM Classifier based Botanical Leaf Disease Detection System". International Journal for Research in Applied Science and Engineering Technology 7, n.º 7 (31 de julio de 2019): 1019–26. http://dx.doi.org/10.22214/ijraset.2019.7166.
Texto completoVelappan, Subha, Murugan D, Prabha S y Manivanna Boopathi A. "Genetic Algorithm Based Feature Subset Selection for Fetal State Classification". Journal of Communications Technology, Electronics and Computer Science 2 (21 de noviembre de 2015): 13. http://dx.doi.org/10.22385/jctecs.v2i0.20.
Texto completoCai, Yong Ming y Qing Chang. "Study on the Self-Organize Selective Fusion Support Vector Machine Algorithm". Advanced Materials Research 282-283 (julio de 2011): 165–68. http://dx.doi.org/10.4028/www.scientific.net/amr.282-283.165.
Texto completoGanesh, S. Sankar. "Optimal Feature Subset Selection and MSVM Classification Based CBIR for Medical Images". International Journal of Advanced Trends in Computer Science and Engineering 9, n.º 4 (25 de agosto de 2020): 4746–52. http://dx.doi.org/10.30534/ijatcse/2020/81942020.
Texto completoDixit, Karishma y Anand Singh Jalal. "A Vision-Based Approach for Indian Sign Language Recognition". International Journal of Computer Vision and Image Processing 2, n.º 4 (octubre de 2012): 25–36. http://dx.doi.org/10.4018/ijcvip.2012100103.
Texto completoP. Thamil Selvi, C. y R. PushpaLaksmi. "SA-MSVM: Hybrid Heuristic Algorithm-based Feature Selection for Sentiment Analysis in Twitter". Computer Systems Science and Engineering 44, n.º 3 (2023): 2439–56. http://dx.doi.org/10.32604/csse.2023.029254.
Texto completoSosimi, A. A., T. Adegbola y O. A. Fakinlede. "Standard Yorùbá context dependent tone identification using Multi-Class Support Vector Machine (MSVM)". Journal of Applied Sciences and Environmental Management 23, n.º 5 (18 de junio de 2019): 895. http://dx.doi.org/10.4314/jasem.v23i5.20.
Texto completoBartholomew, John R., Michael R. Jaff, Bruce H. Gray y Jeffrey W. Olin. "Remembering Jess R Young, MD, MSVM (1928–2021): SVM Founding Member and First President". Vascular Medicine 27, n.º 2 (abril de 2022): 211–13. http://dx.doi.org/10.1177/1358863x221080192.
Texto completoZhou, Xin y David P. Tuck. "MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data". Bioinformatics 23, n.º 9 (1 de mayo de 2007): 1106–14. http://dx.doi.org/10.1093/bioinformatics/btm036.
Texto completoZhou, X. y D. P. Tuck. "MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data". Bioinformatics 23, n.º 15 (1 de agosto de 2007): 2029. http://dx.doi.org/10.1093/bioinformatics/btm284.
Texto completoSharif, Muhammad, Muhammad Attique, Muhammad Zeeshan Tahir, Mussarat Yasmim, Tanzila Saba y Urcun John Tanik. "A Machine Learning Method with Threshold Based Parallel Feature Fusion and Feature Selection for Automated Gait Recognition". Journal of Organizational and End User Computing 32, n.º 2 (abril de 2020): 67–92. http://dx.doi.org/10.4018/joeuc.2020040104.
Texto completoGautam, Divya. "SECURING MOBILE ADHOC NETWORKS AND CLOUD ENVIRONMENT". International Journal of Engineering Technologies and Management Research 5, n.º 2 (27 de abril de 2020): 84–89. http://dx.doi.org/10.29121/ijetmr.v5.i2.2018.617.
Texto completoZhang, Min, Ruiqi Wang, Zhenyu Cai y Wenming Cheng. "Phase partition and identification based on kernel entropy component analysis and multi-class support vector machines-fireworks algorithm for multi-phase batch process fault diagnosis". Transactions of the Institute of Measurement and Control 42, n.º 12 (24 de marzo de 2020): 2324–37. http://dx.doi.org/10.1177/0142331220910885.
Texto completoRajeshwari, M. R. y K. S. Kavitha. "Enhanced tolerance-based intuitionistic fuzzy rough set theory feature selection and ResNet-18 feature extraction model for arrhythmia classification". Multiagent and Grid Systems 18, n.º 3-4 (3 de febrero de 2023): 241–61. http://dx.doi.org/10.3233/mgs-220317.
Texto completoManimaran, A. "Anomaly Detection System using Ant Agent Rule Based Multiclass Support Vector Machine (AA-RB-MSVM) Algorithm". International Journal of Computer Sciences and Engineering 6, n.º 6 (30 de junio de 2018): 1297–305. http://dx.doi.org/10.26438/ijcse/v6i6.12971305.
Texto completoZhang, Min, Yi Yuan, Ruiqi Wang y Wenming Cheng. "Recognition of mixture control chart patterns based on fusion feature reduction and fireworks algorithm-optimized MSVM". Pattern Analysis and Applications 23, n.º 1 (27 de agosto de 2018): 15–26. http://dx.doi.org/10.1007/s10044-018-0748-6.
Texto completoLiu, Mingping, Yue Chen, Zhen Zhang y Suhui Deng. "Classification of Power Quality Disturbance Using Segmented and Modified S-Transform and DCNN-MSVM Hybrid Model". IEEE Access 11 (2023): 890–99. http://dx.doi.org/10.1109/access.2022.3233767.
Texto completoAgarwal, Kuldeep, Rajiv Shivpuri, Yijun Zhu, Tzyy-Shuh Chang y Howard Huang. "Process knowledge based multi-class support vector classification (PK-MSVM) approach for surface defects in hot rolling". Expert Systems with Applications 38, n.º 6 (junio de 2011): 7251–62. http://dx.doi.org/10.1016/j.eswa.2010.12.026.
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