Artículos de revistas sobre el tema "LDA+KNN CLASSIFIER"
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McHUGH, E. S., A. P. SHINN y J. W. KAY. "Discrimination of the notifiable pathogen Gyrodactylus salaris from G. thymalli (Monogenea) using statistical classifiers applied to morphometric data". Parasitology 121, n.º 3 (septiembre de 2000): 315–23. http://dx.doi.org/10.1017/s0031182099006381.
Texto completoKhan, Asfandyar, Abdullah Khan, Muhammad Muntazir Khan, Kamran Farid, Muhammad Mansoor Alam y Mazliham Bin Mohd Su’ud. "Cardiovascular and Diabetes Diseases Classification Using Ensemble Stacking Classifiers with SVM as a Meta Classifier". Diagnostics 12, n.º 11 (26 de octubre de 2022): 2595. http://dx.doi.org/10.3390/diagnostics12112595.
Texto completoR. Essa, Raghad, Hanadi Abbas Jaber y Abbas A. Jasim. "Features selection for estimating hand gestures based on electromyography signals". Bulletin of Electrical Engineering and Informatics 12, n.º 4 (1 de agosto de 2023): 2087–94. http://dx.doi.org/10.11591/beei.v12i4.5048.
Texto completoR. Essa, Raghad, Hanadi Abbas Jaber y Abbas A. Jasim. "Features selection for estimating hand gestures based on electromyography signals". Bulletin of Electrical Engineering and Informatics 12, n.º 4 (1 de agosto de 2023): 2087–94. http://dx.doi.org/10.11591/eei.v12i4.5048.
Texto completoZou, Xiuguo, Chenyang Wang, Manman Luo, Qiaomu Ren, Yingying Liu, Shikai Zhang, Yungang Bai, Jiawei Meng, Wentian Zhang y Steven W. Su. "Design of Electronic Nose Detection System for Apple Quality Grading Based on Computational Fluid Dynamics Simulation and K-Nearest Neighbor Support Vector Machine". Sensors 22, n.º 8 (14 de abril de 2022): 2997. http://dx.doi.org/10.3390/s22082997.
Texto completoBilucaglia, Marco, Gian Marco Duma, Giovanni Mento, Luca Semenzato y Patrizio E. Tressoldi. "Applying machine learning EEG signal classification to emotion‑related brain anticipatory activity". F1000Research 9 (13 de octubre de 2021): 173. http://dx.doi.org/10.12688/f1000research.22202.3.
Texto completoBilucaglia, Marco, Gian Marco Duma, Giovanni Mento, Luca Semenzato y Patrizio E. Tressoldi. "Applying machine learning EEG signal classification to emotion‑related brain anticipatory activity". F1000Research 9 (8 de octubre de 2021): 173. http://dx.doi.org/10.12688/f1000research.22202.2.
Texto completoP, Sunil Kumar y Harikumar Rajaguru. "ASSESSMENT OF EPILEPSY CLASSIFICATION USING TECHNIQUES SUCH AS SINGULAR VALUE DECOMPOSITION, APPROXIMATE ENTROPY, AND WEIGHTED K-NEAREST NEIGHBORS MEASURES". Asian Journal of Pharmaceutical and Clinical Research 9, n.º 5 (1 de septiembre de 2016): 91. http://dx.doi.org/10.22159/ajpcr.2016.v9i5.12196.
Texto completoBai, Junjie, Kan Luo, Jun Peng, Jinliang Shi, Ying Wu, Lixiao Feng, Jianqing Li y Yingxu Wang. "Music Emotions Recognition by Machine Learning With Cognitive Classification Methodologies". International Journal of Cognitive Informatics and Natural Intelligence 11, n.º 4 (octubre de 2017): 80–92. http://dx.doi.org/10.4018/ijcini.2017100105.
Texto completoSingh, Law Kumar, Pooja, Hitendra Garg y Munish Khanna. "Histogram of Oriented Gradients (HOG)-Based Artificial Neural Network (ANN) Classifier for Glaucoma Detection". International Journal of Swarm Intelligence Research 13, n.º 1 (1 de enero de 2022): 1–32. http://dx.doi.org/10.4018/ijsir.309940.
Texto completoAsghar, Ali, Saad Jawaid Khan, Fahad Azim, Choudhary Sobhan Shakeel, Amatullah Hussain y Imran Khan Niazi. "Inter-classifier comparison for upper extremity EMG signal at different hand postures and arm positions using pattern recognition". Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 236, n.º 2 (22 de octubre de 2021): 228–38. http://dx.doi.org/10.1177/09544119211053669.
Texto completoMokdad, Aicha, Sidi Mohammed El Amine Debbal y Fadia Meziani. "Diagnosis of amyotrophic lateral sclerosis (ALS) disorders based on electromyogram (EMG) signal analysis and feature selection". Polish Journal of Medical Physics and Engineering 26, n.º 3 (1 de septiembre de 2020): 155–60. http://dx.doi.org/10.2478/pjmpe-2020-0018.
Texto completoDar, Basra Farooq, Malik Sajjad Ahmed Nadeem, Samina Khalid, Farzana Riaz, Yasir Mahmood y Ghias Hameed. "Improving the Classification Ability of Delegating Classifiers Using Different Supervised Machine Learning Algorithms". Computer and Information Science 16, n.º 3 (23 de agosto de 2023): 22. http://dx.doi.org/10.5539/cis.v16n3p22.
Texto completoDarapureddy, Nagadevi, Nagaprakash Karatapu y Tirumala Krishna Battula. "Comparative Analysis of Texture Patterns on Mammograms for Classification". Traitement du Signal 38, n.º 2 (30 de abril de 2021): 379–86. http://dx.doi.org/10.18280/ts.380215.
Texto completoAlfarhan, Khudhur A., Mohd Yusoff Mashor, Ammar Zakaria y Mohammad Iqbal Omar. "Automated Electrocardiogram Signals Based Risk Marker for Early Sudden Cardiac Death Prediction". Journal of Medical Imaging and Health Informatics 8, n.º 9 (1 de diciembre de 2018): 1769–75. http://dx.doi.org/10.1166/jmihi.2018.2531.
Texto completoSaid, Sherif, Abdullah S. Karar, Taha Beyrouthy, Samer Alkork y Amine Nait-ali. "Biometrics Verification Modality Using Multi-Channel sEMG Wearable Bracelet". Applied Sciences 10, n.º 19 (5 de octubre de 2020): 6960. http://dx.doi.org/10.3390/app10196960.
Texto completoUddin, M. A. y M. S. Ahmed. "Modified naive Bayes classifier for classification of protein-protein interaction sites". Journal of Bioscience and Agriculture Research 26, n.º 02 (10 de diciembre de 2020): 2177–84. http://dx.doi.org/10.18801/jbar.260220.266.
Texto completoRiri, Hicham, Mohammed Ed-Dhahraouy, Abdelmajid Elmoutaouakkil, Abderrahim Beni-Hssane y Farid Bourzgui. "Extracted features based multi-class classification of orthodontic images". International Journal of Electrical and Computer Engineering (IJECE) 10, n.º 4 (1 de agosto de 2020): 3558. http://dx.doi.org/10.11591/ijece.v10i4.pp3558-3567.
Texto completoZHANG, YUE, GANGSHENG CAO, TONGTONG ZHAO, HANYANG ZHANG, JUNTIAN ZHANG y CHUNMING XIA. "A PILOT STUDY OF MECHANOMYOGRAPHY-BASED HAND MOVEMENTS RECOGNITION EMPHASIZING ON THE INFLUENCE OF FABRICS BETWEEN SENSOR AND SKIN". Journal of Mechanics in Medicine and Biology 20, n.º 08 (octubre de 2020): 2050054. http://dx.doi.org/10.1142/s0219519420500542.
Texto completoWuryani, Nanik y Sarifah Agustiani. "Random Forest Classifier untuk Deteksi Penderita COVID-19 berbasis Citra CT Scan". Jurnal Teknik Komputer 7, n.º 2 (16 de julio de 2021): 187–93. http://dx.doi.org/10.31294/jtk.v7i2.10468.
Texto completoSiti Khotimatul Wildah, Sarifah Agustiani, Ali Mustopa, Nanik Wuryani, Hendri Mahmud Nawawi y Rizky Ade Safitri. "Pengenalan Wajah Menggunakan Pembelajaran Mesin Berdasarkan Ekstraksi Fitur Pada Gambar Wajah Berkualitas Rendah". INFOTECH : Jurnal Informatika & Teknologi 2, n.º 2 (31 de diciembre de 2021): 95–103. http://dx.doi.org/10.37373/infotech.v2i2.189.
Texto completoMurariu, Mădălina-Giorgiana y Daniela Tărniceriu. "Discrimination of Focal and Non-Focal Epileptic Eeg Signals Using Different Types of Classifiers". Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section 68, n.º 2 (1 de junio de 2022): 61–79. http://dx.doi.org/10.2478/bipie-2022-0011.
Texto completoYaman, Aris, Bagus Sartono, Ariani Indrawati, Yulia Aris Kartika y Agus M. Soleh. "Automated Multi Label Classification on Fertilizer Themed Patent Documents in Indonesia". DESIDOC Journal of Library & Information Technology 42, n.º 4 (19 de julio de 2022): 218–26. http://dx.doi.org/10.14429/djlit.42.4.17733.
Texto completoPosada-Quintero, Hugo F., Natasa Reljin, Aurelie Moutran, Dimitrios Georgopalis, Elaine Choung-Hee Lee, Gabrielle E. W. Giersch, Douglas J. Casa y Ki H. Chon. "Mild Dehydration Identification Using Machine Learning to Assess Autonomic Responses to Cognitive Stress". Nutrients 12, n.º 1 (23 de diciembre de 2019): 42. http://dx.doi.org/10.3390/nu12010042.
Texto completoGeethanjali, P. y K. K. Ray. "STATISTICAL PATTERN RECOGNITION TECHNIQUE FOR IMPROVED REAL-TIME MYOELECTRIC SIGNAL CLASSIFICATION". Biomedical Engineering: Applications, Basis and Communications 25, n.º 02 (abril de 2013): 1350026. http://dx.doi.org/10.4015/s1016237213500269.
Texto completoAlhudhaif, Adi. "An effective classification framework for brain-computer interface system design based on combining of fNIRS and EEG signals". PeerJ Computer Science 7 (6 de mayo de 2021): e537. http://dx.doi.org/10.7717/peerj-cs.537.
Texto completoAhmadi, Mohsen, Fatemeh Dashti Ahangar, Nikoo Astaraki, Mohammad Abbasi y Behzad Babaei. "FWNNet: Presentation of a New Classifier of Brain Tumor Diagnosis Based on Fuzzy Logic and the Wavelet-Based Neural Network Using Machine-Learning Methods". Computational Intelligence and Neuroscience 2021 (22 de noviembre de 2021): 1–13. http://dx.doi.org/10.1155/2021/8542637.
Texto completoQi, Zuxuan, Xiaohong Wu, Yangjian Yang, Bin Wu y Haijun Fu. "Discrimination of the Red Jujube Varieties Using a Portable NIR Spectrometer and Fuzzy Improved Linear Discriminant Analysis". Foods 11, n.º 5 (7 de marzo de 2022): 763. http://dx.doi.org/10.3390/foods11050763.
Texto completoLiang, Jing, Xiaoli Li, Panpan Zhu, Ning Xu y Yong He. "Hyperspectral Reflectance Imaging Combined with Multivariate Analysis for Diagnosis of Sclerotinia Stem Rot on Arabidopsis Thaliana Leaves". Applied Sciences 9, n.º 10 (21 de mayo de 2019): 2092. http://dx.doi.org/10.3390/app9102092.
Texto completoRopelewska, Ewa, Ahmed M. Rady y Nicholas J. Watson. "Apricot Stone Classification Using Image Analysis and Machine Learning". Sustainability 15, n.º 12 (8 de junio de 2023): 9259. http://dx.doi.org/10.3390/su15129259.
Texto completoOzcift, Akin y Arif Gulten. "Assessing Effects of Pre-Processing Mass Spectrometry Data on Classification Performance". European Journal of Mass Spectrometry 14, n.º 5 (1 de abril de 2008): 267–73. http://dx.doi.org/10.1255/ejms.938.
Texto completoMd Isa, N. E., A. Amir, M. Z. Ilyas y M. S. Razalli. "Motor imagery classification in Brain computer interface (BCI) based on EEG signal by using machine learning technique". Bulletin of Electrical Engineering and Informatics 8, n.º 1 (1 de marzo de 2019): 269–75. http://dx.doi.org/10.11591/eei.v8i1.1402.
Texto completoYang, Huan, Cheng Wang, Han Zhang, Ya’nan Zhou y Bin Luo. "Recognition of maize seed varieties based on hyperspectral imaging technology and integrated learning algorithms". PeerJ Computer Science 9 (10 de mayo de 2023): e1354. http://dx.doi.org/10.7717/peerj-cs.1354.
Texto completoBishnoi, Sudha, Nadhir Al-Ansari, Mujahid Khan, Salim Heddam y Anurag Malik. "Classification of Cotton Genotypes with Mixed Continuous and Categorical Variables: Application of Machine Learning Models". Sustainability 14, n.º 20 (21 de octubre de 2022): 13685. http://dx.doi.org/10.3390/su142013685.
Texto completoAmini, Morteza, MirMohsen Pedram, AliReza Moradi y Mahshad Ouchani. "Diagnosis of Alzheimer’s Disease Severity with fMRI Images Using Robust Multitask Feature Extraction Method and Convolutional Neural Network (CNN)". Computational and Mathematical Methods in Medicine 2021 (27 de abril de 2021): 1–15. http://dx.doi.org/10.1155/2021/5514839.
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 completoBalkhi, Parinaz y Mehrdad Moallem. "A Multipurpose Wearable Sensor-Based System for Weight Training". Automation 3, n.º 1 (16 de febrero de 2022): 132–52. http://dx.doi.org/10.3390/automation3010007.
Texto completoNorali, A. N., M. N. Anas, Z. Zakaria, M. Asymawi, A. H. Abu Bakar y Y. F. Chong. "Electromyography Signal Pattern Recognition for Movement of Shoulder". Journal of Physics: Conference Series 2071, n.º 1 (1 de octubre de 2021): 012049. http://dx.doi.org/10.1088/1742-6596/2071/1/012049.
Texto completoAbidine, M’hamed Bilal y Belkacem Fergani. "Activity recognition from smartphone data using weighted learning methods". Intelligenza Artificiale 15, n.º 1 (28 de julio de 2021): 1–15. http://dx.doi.org/10.3233/ia-200059.
Texto completoAvots, Egils, Klāvs Jermakovs, Maie Bachmann, Laura Päeske, Cagri Ozcinar y Gholamreza Anbarjafari. "Ensemble Approach for Detection of Depression Using EEG Features". Entropy 24, n.º 2 (28 de enero de 2022): 211. http://dx.doi.org/10.3390/e24020211.
Texto completoStančić, Ivo, Josip Musić, Tamara Grujić, Mirela Kundid Vasić y Mirjana Bonković. "Comparison and Evaluation of Machine Learning-Based Classification of Hand Gestures Captured by Inertial Sensors". Computation 10, n.º 9 (14 de septiembre de 2022): 159. http://dx.doi.org/10.3390/computation10090159.
Texto completoAnam, Khairul y Adel Al-Jumaily. "Optimized Kernel Extreme Learning Machine for Myoelectric Pattern Recognition". International Journal of Electrical and Computer Engineering (IJECE) 8, n.º 1 (1 de febrero de 2018): 483. http://dx.doi.org/10.11591/ijece.v8i1.pp483-496.
Texto completoAlkhammash, Eman H., Myriam Hadjouni y Ahmed M. Elshewey. "A Hybrid Ensemble Stacking Model for Gender Voice Recognition Approach". Electronics 11, n.º 11 (31 de mayo de 2022): 1750. http://dx.doi.org/10.3390/electronics11111750.
Texto completoSáenz Oviedo, Mayra A., William R. Kuhn, Martin A. Rondon Sepulveda, John Abbott, Jessica L. Ware y Melissa Sanchez-Herrera. "Are wing contours good classifiers for automatic identification in Odonata? A view from the Targeted Odonata Wing Digitization (TOWD) project". International Journal of Odonatology 25 (8 de diciembre de 2022): 96–106. http://dx.doi.org/10.48156/1388.2022.1917184.
Texto completoSun, Dawei, Yueming Zhu, Haixia Xu, Yong He y Haiyan Cen. "Time-Series Chlorophyll Fluorescence Imaging Reveals Dynamic Photosynthetic Fingerprints of sos Mutants to Drought Stress". Sensors 19, n.º 12 (12 de junio de 2019): 2649. http://dx.doi.org/10.3390/s19122649.
Texto completoSyahrial, Syahrial, Rosmin Ilham, Zulaika F. Asikin y St Surya Indah Nurdin. "Stunting Classification in Children's Measurement Data Using Machine Learning Models". Journal La Multiapp 3, n.º 2 (31 de marzo de 2022): 52–60. http://dx.doi.org/10.37899/journallamultiapp.v3i2.614.
Texto completoZhang, Jintao, Shuang Lai, Huahua Yu, Erjie Wang, Xizhe Wang y Zixuan Zhu. "Fruit Classification Utilizing a Robotic Gripper with Integrated Sensors and Adaptive Grasping". Mathematical Problems in Engineering 2021 (3 de septiembre de 2021): 1–15. http://dx.doi.org/10.1155/2021/7157763.
Texto completoLi, Wenlong y Haibin Qu. "Wavelet-based classification and influence matrix analysis method for the fast discrimination of Chinese herbal medicines according to the geographical origins with near infrared spectroscopy". Journal of Innovative Optical Health Sciences 07, n.º 04 (julio de 2014): 1350061. http://dx.doi.org/10.1142/s1793545813500612.
Texto completoS, Archana. "A Comparison of Various Machine Learning Algorithms and Deep Learning Algorithms for Prediction of Loan Eligibility". International Journal for Research in Applied Science and Engineering Technology 11, n.º 6 (30 de junio de 2023): 4558–64. http://dx.doi.org/10.22214/ijraset.2023.54495.
Texto completoGüney, Selen, Sema Arslan, Adil Deniz Duru y Dilek Göksel Duru. "Identification of Food/Nonfood Visual Stimuli from Event-Related Brain Potentials". Applied Bionics and Biomechanics 2021 (23 de septiembre de 2021): 1–11. http://dx.doi.org/10.1155/2021/6472586.
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