Artículos de revistas sobre el tema "ANN Classifiers"
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Mohamad, Mumtazimah, Wan Nor Shuhadah Wan Nik, Zahrahtul Amani Zakaria y Arifah Che Alhadi. "An Analysis of Large Data Classification using Ensemble Neural Network". International Journal of Engineering & Technology 7, n.º 2.14 (6 de abril de 2018): 53. http://dx.doi.org/10.14419/ijet.v7i2.14.11155.
Texto completoMahanya, G. B. y S. Nithyaselvakumari. "Analysis And Comparison Of Ventricular Cardiac Arrhythmia Classification Using Potassium Channel Parameters With ANN And KNN Classifier". CARDIOMETRY, n.º 25 (14 de febrero de 2023): 926–33. http://dx.doi.org/10.18137/cardiometry.2022.25.926933.
Texto completoMahanya, G. B. y S. Nithyaselvakumari. "Analysis And Comparison Of Ventricular Cardiac Arrhythmia Classification Using Sodium Channel Parameters With ANN And KNN Classifier". CARDIOMETRY, n.º 25 (14 de febrero de 2023): 911–18. http://dx.doi.org/10.18137/cardiometry.2022.25.911918.
Texto completoBenmouna, Brahim, Raziyeh Pourdarbani, Sajad Sabzi, Ruben Fernandez-Beltran, Ginés García-Mateos y José Miguel Molina-Martínez. "Comparison of Classic Classifiers, Metaheuristic Algorithms and Convolutional Neural Networks in Hyperspectral Classification of Nitrogen Treatment in Tomato Leaves". Remote Sensing 14, n.º 24 (16 de diciembre de 2022): 6366. http://dx.doi.org/10.3390/rs14246366.
Texto completoChang, Mahmud, Shin, Nguyen-Quang, Price y Prithiviraj. "Comparison of Image Texture Based Supervised Learning Classifiers for Strawberry Powdery Mildew Detection". AgriEngineering 1, n.º 3 (4 de septiembre de 2019): 434–52. http://dx.doi.org/10.3390/agriengineering1030032.
Texto completoPatgiri, Chayashree y Amrita Ganguly. "Machine Learning Techniques for Automatic Detection of Sickle Cell Anemia using Adaptive Thresholding and Contour-based Segmentation Method". Asian Pacific Journal of Health Sciences 9, n.º 4 (20 de junio de 2022): 165–70. http://dx.doi.org/10.21276/apjhs.2022.9.4.33.
Texto completoManjunatha, G. y H. C. Chittappa. "Bearing Fault Classification Using Statistical Features And Machine Learning Approach". Journal of Mines, Metals and Fuels 70, n.º 4 (1 de marzo de 2022): 104. http://dx.doi.org/10.18311/jmmf/2022/30676.
Texto completoManjunatha, G. y H. C. Chittappa. "Bearing Fault Classification Using Statistical Features And Machine Learning Approach". Journal of Mines, Metals and Fuels 70, n.º 3A (12 de julio de 2022): 104. http://dx.doi.org/10.18311/jmmf/2022/30687.
Texto completoMasood, Ibrahim, Nadia Zulikha Zainal Abidin, Nur Rashida Roshidi, Noor Azlina Rejab y Mohd Faizal Johari. "Design of an Artificial Neural Network Pattern Recognition Scheme Using Full Factorial Experiment". Applied Mechanics and Materials 465-466 (diciembre de 2013): 1149–54. http://dx.doi.org/10.4028/www.scientific.net/amm.465-466.1149.
Texto completoWang, Daliang y Xiaowen Guo. "Research on Intelligent Recognition and Classification Algorithm of Music Emotion in Complex System of Music Performance". Complexity 2021 (24 de junio de 2021): 1–10. http://dx.doi.org/10.1155/2021/4251827.
Texto completoAljammal, Ashraf H., Salah Taamneh, Ahmad Qawasmeh y Hani Bani Salameh. "Machine Learning Based Phishing Attacks Detection Using Multiple Datasets". International Journal of Interactive Mobile Technologies (iJIM) 17, n.º 05 (7 de marzo de 2023): 71–83. http://dx.doi.org/10.3991/ijim.v17i05.37575.
Texto completoSabzi, Sajad, Razieh Pourdarbani y Juan Ignacio Arribas. "A Computer Vision System for the Automatic Classification of Five Varieties of Tree Leaf Images". Computers 9, n.º 1 (28 de enero de 2020): 6. http://dx.doi.org/10.3390/computers9010006.
Texto completoKhriji, Lazhar, Ahmed Chiheb Ammari y Medhat Awadalla. "Hardware/Software Co-Design of a Vision System for Automatic Classification of Date Fruits". International Journal of Embedded and Real-Time Communication Systems 11, n.º 4 (octubre de 2020): 21–40. http://dx.doi.org/10.4018/ijertcs.2020100102.
Texto completoIllias, Hazlee Azil, Ming Ming Lim, Ab Halim Abu Bakar, Hazlie Mokhlis, Sanuri Ishak y Mohd Dzaki Mohd Amir. "Classification of abnormal location in medium voltage switchgears using hybrid gravitational search algorithm-artificial intelligence". PLOS ONE 16, n.º 7 (1 de julio de 2021): e0253967. http://dx.doi.org/10.1371/journal.pone.0253967.
Texto completoManisha, Sanjeev Kr Dhull y Krishna Kant Singh. "ECG Beat Classifiers: A Journey from ANN To DNN". Procedia Computer Science 167 (2020): 747–59. http://dx.doi.org/10.1016/j.procs.2020.03.340.
Texto completoHichri, Amal, Mansour Hajji, Majdi Mansouri, Kamaleldin Abodayeh, Kais Bouzrara, Hazem Nounou y Mohamed Nounou. "Genetic-Algorithm-Based Neural Network for Fault Detection and Diagnosis: Application to Grid-Connected Photovoltaic Systems". Sustainability 14, n.º 17 (24 de agosto de 2022): 10518. http://dx.doi.org/10.3390/su141710518.
Texto completoSuárez-Cuenca, Jorge Juan, Wei Guo y Qiang Li. "INTEGRATION OF MULTIPLE CLASSIFIERS FOR COMPUTERIZED DETECTION OF LUNG NODULES IN CT". Biomedical Engineering: Applications, Basis and Communications 27, n.º 04 (agosto de 2015): 1550040. http://dx.doi.org/10.4015/s1016237215500404.
Texto completoFarhi, Lubna, Razia Zia y Zain Anwar Ali. "Performance Analysis of Machine Learning Classifiers for Brain Tumor MR Images". Sir Syed University Research Journal of Engineering & Technology 8, n.º 1 (19 de diciembre de 2018): 6. http://dx.doi.org/10.33317/ssurj.v8i1.36.
Texto completoSingh, Amritpal y Sunil Kumar Chhillar. "News Category Classification Using Distinctive Bag of Words and ANN Classifier". International Journal of Emerging Research in Management and Technology 6, n.º 6 (29 de junio de 2018): 311. http://dx.doi.org/10.23956/ijermt.v6i6.288.
Texto completoKliangsuwan, Thitinan y Apichat Heednacram. "Classifiers for Ground-Based Cloud Images Using Texture Features". Advanced Materials Research 931-932 (mayo de 2014): 1392–96. http://dx.doi.org/10.4028/www.scientific.net/amr.931-932.1392.
Texto completoMahanya, G. B. y S. Nithyaselvakumari. "Analysis And Comparison Of Ventricular Cardiac Arrhythmia Classification Using Calcium Channel Parameters With KNN And ANN Classifier". CARDIOMETRY, n.º 25 (14 de febrero de 2023): 919–25. http://dx.doi.org/10.18137/cardiometry.2022.25.919925.
Texto completoHond, Darryl, Hamid Asgari, Daniel Jeffery y Mike Newman. "An Integrated Process for Verifying Deep Learning Classifiers Using Dataset Dissimilarity Measures". International Journal of Artificial Intelligence and Machine Learning 11, n.º 2 (julio de 2021): 1–21. http://dx.doi.org/10.4018/ijaiml.289536.
Texto completoSravanthi, D. y D. J. Rani. "Comparative Analysis of Hepatitis C Using Decision Tree Classifier and Artificial Neural Network Classifier". CARDIOMETRY, n.º 25 (14 de febrero de 2023): 1017–23. http://dx.doi.org/10.18137/cardiometry.2022.25.10171023.
Texto completoDeng, Guoqiang, Min Tang, Yuhao Zhang, Ying Huang y Xuefeng Duan. "Privacy-Preserving Outsourced Artificial Neural Network Training for Secure Image Classification". Applied Sciences 12, n.º 24 (14 de diciembre de 2022): 12873. http://dx.doi.org/10.3390/app122412873.
Texto completoFarhi, Lubna, Razia Zia y Zain Anwar Ali. "Performance Analysis of Machine Learning Classifiers for Brain Tumor MR Images". Sir Syed University Research Journal of Engineering & Technology 8, n.º 1 (19 de diciembre de 2018): 6. http://dx.doi.org/10.33317/ssurj.36.
Texto completoUsama, Nayab, Imran Khan Niazi, Kim Dremstrup y Mads Jochumsen. "Detection of Error-Related Potentials in Stroke Patients from EEG Using an Artificial Neural Network". Sensors 21, n.º 18 (18 de septiembre de 2021): 6274. http://dx.doi.org/10.3390/s21186274.
Texto completoMurthy, H. S. Niranjana y Dr M. Meenakshi. "ANN, SVM and KNN Classifiers for Prognosis of Cardiac Ischemia- A Comparison". Bonfring International Journal of Research in Communication Engineering 5, n.º 2 (30 de junio de 2015): 07–11. http://dx.doi.org/10.9756/bijrce.8030.
Texto completoFarhi, Lubna, Razia Zia y Zain Anwar Ali. "5 Performance Analysis of Machine Learning Classifiers for Brain Tumor MR Images". Sir Syed Research Journal of Engineering & Technology 1, n.º 1 (19 de diciembre de 2018): 6. http://dx.doi.org/10.33317/ssurj.v1i1.36.
Texto completoPrasad, S. V. S., T. Satya Savithri y Iyyanki V. Murali Krishna. "Comparison of Accuracy Measures for RS Image Classification using SVM and ANN Classifiers". International Journal of Electrical and Computer Engineering (IJECE) 7, n.º 3 (1 de junio de 2017): 1180. http://dx.doi.org/10.11591/ijece.v7i3.pp1180-1187.
Texto completoKruglyak, Natan y Robert Forchheimer. "Design of classifiers based on ANN approximations of traditional methods". International Journal of Circuit Theory and Applications 49, n.º 7 (18 de marzo de 2021): 1916–31. http://dx.doi.org/10.1002/cta.2998.
Texto completoAl-Zewairi, Malek, Sufyan Almajali y Moussa Ayyash. "Unknown Security Attack Detection Using Shallow and Deep ANN Classifiers". Electronics 9, n.º 12 (26 de noviembre de 2020): 2006. http://dx.doi.org/10.3390/electronics9122006.
Texto completoKeyvanpour, Mohammad Reza, Mohammad Reza Ebrahimi y Mostafa Javideh. "DESIGNING EFFICIENT ANN CLASSIFIERS FOR MATCHING BURGLARIES FROM DWELLING HOUSES". Applied Artificial Intelligence 26, n.º 8 (septiembre de 2012): 787–807. http://dx.doi.org/10.1080/08839514.2012.718227.
Texto completoSharma, Purva, Akash Saxena y Qingsong Ai. "Critical investigations on performance of ANN and wavelet fault classifiers". Cogent Engineering 4, n.º 1 (1 de enero de 2017): 1286730. http://dx.doi.org/10.1080/23311916.2017.1286730.
Texto completoSolanki, Yogendra Singh, Prasun Chakrabarti, Michal Jasinski, Zbigniew Leonowicz, Vadim Bolshev, Alexander Vinogradov, Elzbieta Jasinska, Radomir Gono y Mohammad Nami. "A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches". Electronics 10, n.º 6 (16 de marzo de 2021): 699. http://dx.doi.org/10.3390/electronics10060699.
Texto completoMahanya, G. B. y S. Nithyaselvakumari. "Analysis And Comparison Of Ventricular Cardiac Arrhythmia Classification Using Sodium Potassium Pump Channel Parameters With ANN And KNN Classifier". CARDIOMETRY, n.º 25 (14 de febrero de 2023): 934–41. http://dx.doi.org/10.18137/cardiometry.2022.25.934941.
Texto completoAbdulameer, Ahmed Talib. "An Improvement of MRI Brain Images Classification Using Dragonfly Algorithm as Trainer of Artificial Neural Network". Ibn AL- Haitham Journal For Pure and Applied Science 31, n.º 1 (10 de mayo de 2018): 268. http://dx.doi.org/10.30526/31.1.1834.
Texto completoTan, Maxine, Jiantao Pu y Bin Zheng. "Optimization of Network Topology in Computer-Aided Detection Schemes Using Phased Searching with NEAT in a Time-Scaled Framework". Cancer Informatics 13s1 (enero de 2014): CIN.S13885. http://dx.doi.org/10.4137/cin.s13885.
Texto completoAbdullah, Azian Azamimi y Nur Siti Fatimah Azz-Zahra Md Som. "Design of an Intelligent Diagnostic System for Detection of Knee Injuries". Applied Mechanics and Materials 339 (julio de 2013): 219–24. http://dx.doi.org/10.4028/www.scientific.net/amm.339.219.
Texto completoMoosavian, A., H. Ahmadi, A. Tabatabaeefar y M. Khazaee. "Comparison of Two Classifiers; K-Nearest Neighbor and Artificial Neural Network, for Fault Diagnosis on a Main Engine Journal-Bearing". Shock and Vibration 20, n.º 2 (2013): 263–72. http://dx.doi.org/10.1155/2013/360236.
Texto completoRajendran, Priyanka y Kirupa Ganapathy. "Neural network based seizure detection system using statistical package analysis". Bulletin of Electrical Engineering and Informatics 11, n.º 5 (1 de octubre de 2022): 2547–54. http://dx.doi.org/10.11591/eei.v11i5.3771.
Texto completoKaur, Sukhvinder y J. S. Sohal. "Speech Activity Detection and its Evaluation in Speaker Diarization System". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 16, n.º 1 (13 de marzo de 2017): 7567–72. http://dx.doi.org/10.24297/ijct.v16i1.5893.
Texto completoSabzi, Sajad, Razieh Pourdarbani, Mohammad Hossein Rohban, Alejandro Fuentes-Penna, José Luis Hernández-Hernández y Mario Hernández-Hernández. "Classification of Cucumber Leaves Based on Nitrogen Content Using the Hyperspectral Imaging Technique and Majority Voting". Plants 10, n.º 5 (29 de abril de 2021): 898. http://dx.doi.org/10.3390/plants10050898.
Texto completoAlfatni, Meftah Salem M., Siti Khairunniza-Bejo, Mohammad Hamiruce B. Marhaban, Osama M. Ben Saaed, Aouache Mustapha y Abdul Rashid Mohamed Shariff. "Towards a Real-Time Oil Palm Fruit Maturity System using Supervised Classifiers Based on Feature Analysis". Agriculture 12, n.º 9 (14 de septiembre de 2022): 1461. http://dx.doi.org/10.3390/agriculture12091461.
Texto completoImanian, Kamal, Razieh Pourdarbani, Sajad Sabzi, Ginés García-Mateos, Juan Ignacio Arribas y José Miguel Molina-Martínez. "Identification of Internal Defects in Potato Using Spectroscopy and Computational Intelligence Based on Majority Voting Techniques". Foods 10, n.º 5 (30 de abril de 2021): 982. http://dx.doi.org/10.3390/foods10050982.
Texto completoChun, Teo Hong, Ummi Raba'ah Hashim, Sabrina Ahmad, Lizawati Salahuddin, Ngo Hea Choon, Kasturi Kanchymalay y Nur Haslinda Ismail. "Identification of wood defect using pattern recognition technique". International Journal of Advances in Intelligent Informatics 7, n.º 2 (19 de abril de 2021): 163. http://dx.doi.org/10.26555/ijain.v7i2.588.
Texto completoBarkana, Buket D., Burak Uzkent y Inci Saricicek. "Normal and Abnormal Non-Speech Audio Event Detection Using MFCC and PR-Based Feature Sets". Advanced Materials Research 601 (diciembre de 2012): 200–208. http://dx.doi.org/10.4028/www.scientific.net/amr.601.200.
Texto completoMas-Cabo, J., G. Prats-Boluda, J. Garcia-Casado, J. Alberola-Rubio, A. Perales y Y. Ye-Lin. "Design and Assessment of a Robust and Generalizable ANN-Based Classifier for the Prediction of Premature Birth by means of Multichannel Electrohysterographic Records". Journal of Sensors 2019 (25 de noviembre de 2019): 1–13. http://dx.doi.org/10.1155/2019/5373810.
Texto completoPerfecto-Avalos, Yocanxóchitl, Luis Villela, Alejandro Garcia-Gonzalez, Ana G. Hernández-Reynoso, Gildardo Sánchez-Ante, Rita Q. Fuentes-Aguilar, Sean Scott, Carlos Ortiz-Hidalgo y Jose Borbolla Escoboza. "Molecular Subtype Classification of Diffuse Large B-Cell Lymphoma By Immunohistochemical Algorithms and Automatic Supervised Classifiers". Blood 128, n.º 22 (2 de diciembre de 2016): 4229. http://dx.doi.org/10.1182/blood.v128.22.4229.4229.
Texto completoAng, Rebecca P. y Dion H. Goh. "Predicting Juvenile Offending". International Journal of Offender Therapy and Comparative Criminology 57, n.º 2 (12 de diciembre de 2011): 191–207. http://dx.doi.org/10.1177/0306624x11431132.
Texto completoYuvaraj, N., K. Srihari, Gaurav Dhiman, K. Somasundaram, Ashutosh Sharma, S. Rajeskannan, Mukesh Soni, Gurjot Singh Gaba, Mohammed A. AlZain y Mehedi Masud. "Nature-Inspired-Based Approach for Automated Cyberbullying Classification on Multimedia Social Networking". Mathematical Problems in Engineering 2021 (22 de febrero de 2021): 1–12. http://dx.doi.org/10.1155/2021/6644652.
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