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1Academic Journal
المؤلفون: Xuefeng Cheng, Min Liao, Juan Liu
المصدر: IEEE Access, Vol 13, Pp 13832-13846 (2025)
مصطلحات موضوعية: Panax notoginseng, geographical origin identification, near-infrared spectroscopy, modified K-nearest neighbors algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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2Academic Journal
المؤلفون: Hongzhe Zhang, Jihui L. Diaz, Soohyun Kim, Zilong Yu, Yiyuan Wu, Emily Carter, Samprit Banerjee
المصدر: Sensors, Vol 24, Iss 21, p 7053 (2024)
مصطلحات موضوعية: k-nearest neighbors algorithm, mobile health, smartphone, passive sensing, Chemical technology, TP1-1185
وصف الملف: electronic resource
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3Academic Journal
المصدر: Inventions., Basel : MDPI, 2024, vol. 9, iss. 1, art. no. 12, p. 1-59. ; ISSN 2411-5134
مصطلحات موضوعية: power quality, shelving filter, support vector machine, k-nearest neighbors algorithm, Clarke transformation, transient, RMS variation, sag, dip, swell
وصف الملف: application/pdf
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4Academic Journal
المصدر: Inventions, Vol 9, Iss 1, p 12 (2024)
مصطلحات موضوعية: power quality, shelving filter, support vector machine, k-nearest neighbors algorithm, Clarke transformation, transient, Engineering machinery, tools, and implements, TA213-215, Technological innovations. Automation, HD45-45.2
Relation: https://www.mdpi.com/2411-5134/9/1/12; https://doaj.org/toc/2411-5134; https://doaj.org/article/9fd3fc91f9094d0fbd53e1eb00045018
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5Academic Journal
المؤلفون: Yin Tang, Lizhuo Zhang, Dan Huang, Sha Yang, Yingchun Kuang
المصدر: Applied Sciences, Vol 14, Iss 5, p 2159 (2024)
مصطلحات موضوعية: photovoltaic power prediction, Hunter–Prey Optimization, Simple Recurrent Unit, K-Nearest Neighbors algorithm, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
Relation: https://www.mdpi.com/2076-3417/14/5/2159; https://doaj.org/toc/2076-3417; https://doaj.org/article/9d3d64430f2647479144d7248b2b9993
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6Academic Journal
المؤلفون: Ming Hao, Wei He, Xuedong Jiang, Shuai Liang, Wei Jin, Lin Chen, Jianming Tang
المصدر: Photonics, Vol 11, Iss 5, p 390 (2024)
مصطلحات موضوعية: modulation format identification, multi-dimensional amplitude feature, k-nearest neighbors algorithm, coherent optical communications, Applied optics. Photonics, TA1501-1820
Relation: https://www.mdpi.com/2304-6732/11/5/390; https://doaj.org/toc/2304-6732; https://doaj.org/article/ba4ca592ac324604954c9607bdf74439
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7Academic Journal
المؤلفون: Younes Salmi, Hanna Bogucka
المصدر: Sensors, Vol 24, Iss 2, p 338 (2024)
مصطلحات موضوعية: data poisoning, k-means algorithm, k-nearest neighbors algorithm, clustering, edge computing, Chemical technology, TP1-1185
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8Academic Journal
المؤلفون: V. M. Nedel’ko
المصدر: Известия Иркутского государственного университета: Серия "Математика", Vol 43, Iss 1, Pp 110-121 (2023)
مصطلحات موضوعية: bias-variance decomposition, machine learning, $k$-nearest neighbors algorithm, overfitting, Mathematics, QA1-939
وصف الملف: electronic resource
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9Academic Journal
المؤلفون: Zyhan Faradilla Daldiri, Desti Fitriati
المصدر: Jurnal Riset Informatika, Vol 5, Iss 2, Pp 177-186 (2023)
مصطلحات موضوعية: breast cancer, woman, classification, comparison, decision tree algorithm, k-nearest neighbors algorithm, Electronic computers. Computer science, QA75.5-76.95, Computer engineering. Computer hardware, TK7885-7895
وصف الملف: electronic resource
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10Academic Journal
المصدر: International Journal of Electrical and Computer Engineering (IJECE), 13(1), 1086-1096, (2023-02-01)
مصطلحات موضوعية: Bank marketing, Decision tree, K-nearest neighbors' algorithm, Naive Bayes, Support vector machines
Relation: oai:zenodo.org:7466880
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11Academic Journal
المؤلفون: Yaning Zhao, Li Wang, Nannan Zhang, Xiangwei Huang, Lunke Yang, Wenbiao Yang
المصدر: Atmosphere; Volume 14; Issue 1; Pages: 143
مصطلحات موضوعية: air quality, fine-grained analysis, co-training semi-supervised learning, k-nearest neighbors algorithm, deep neural network
جغرافية الموضوع: agris
وصف الملف: application/pdf
Relation: Air Quality; https://dx.doi.org/10.3390/atmos14010143
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12Academic Journal
المؤلفون: Arseniy A. Pypin, Anna V. Shik, Irina A. Stepanova, Irina A. Doroshenko, Tatyana A. Podrugina, Mikhail K. Beklemishev
المصدر: Sensors ; Volume 23 ; Issue 18 ; Pages: 7682
مصطلحات موضوعية: optical sensing, absorbance, fluorescence, fingerprinting, motor oil recognition, carbocyanine dye oxidation, linear discriminant analysis, k-nearest neighbors algorithm
وصف الملف: application/pdf
Relation: Optical Sensors; https://dx.doi.org/10.3390/s23187682
الاتاحة: https://doi.org/10.3390/s23187682
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13Academic Journal
المؤلفون: Hanan Atiyah, Mohammed Y.
المصدر: Engineering and Technology Journal, Vol 39, Iss 6, Pp 965-976 (2021)
مصطلحات موضوعية: convolution neural network, ihs, k-nearest neighbors algorithm, lidar, mobile robot localization, principal component analysis, Science, Technology
وصف الملف: electronic resource
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14Academic Journal
المؤلفون: Stork, CL, Ummel, CC, Stuart, DS, Bodily, S, Goldblum, BL
مصطلحات موضوعية: Nuclear forensics, Principal component analysis, k nearest neighbors algorithm, Mathematical Sciences, Physical Sciences, Information and Computing Sciences, Nuclear & Particles Physics
URL الوصول: https://escholarship.org/uc/item/8508p04j
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15Academic Journal
المؤلفون: Jie Hao, Changsheng Zhu, Xiuting Guo
المصدر: IEEE Access, Vol 9, Pp 6478-6487 (2021)
مصطلحات موضوعية: Chi-square test, data discretization, Poisson re-sampling, random forests, wind power prediction, weighted k-nearest neighbors algorithm, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
وصف الملف: electronic resource
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16Academic Journal
المصدر: Indonesian Journal of Electrical Engineering and Computer Science, 26(1), 434-441, (2022-04-01)
مصطلحات موضوعية: Collaborative filtering, K-nearest neighbors algorithm, Matrix factorization, Recommender system, Singular value decomposition
Relation: oai:zenodo.org:7142147
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17Academic Journal
المؤلفون: Mihaela Miron, Simona Moldovanu, Bogdan Ioan Ștefănescu, Mihai Culea, Sorin Marius Pavel, Anisia Luiza Culea-Florescu
المصدر: Journal of Imaging; Volume 8; Issue 3; Pages: 81
مصطلحات موضوعية: placenta, calcifications, preterm placental calcifications, first order feature, second order feature, t-test, K-Nearest Neighbors algorithm, support vector machine algorithm
وصف الملف: application/pdf
Relation: Medical Imaging; https://dx.doi.org/10.3390/jimaging8030081
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18Academic Journal
المؤلفون: Wenrui Qu, Jinhong Li, Wenting Song, Xiaoran Li, Yue Zhao, Hanlin Dong, Yanfei Wang, Qun Zhao, Yi Qi
المصدر: Entropy; Volume 24; Issue 7; Pages: 849
مصطلحات موضوعية: entropy weight method, traffic flow forecasting, k-nearest neighbors algorithm, neural network
وصف الملف: application/pdf
Relation: https://dx.doi.org/10.3390/e24070849
الاتاحة: https://doi.org/10.3390/e24070849
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19Academic Journal
المؤلفون: Kouissi, Mohamed, En-Naimi, El Mokhtar, Zouhair, Abdelhamid
المصدر: International Journal of Online and Biomedical Engineering (iJOE); Vol. 18 No. 06 (2022); pp. 110-122 ; 2626-8493
مصطلحات موضوعية: Dynamic Case Based Reasoning (DCBR), Multi Agents System (MAS), Wind Turbines Power Curve (WTPC), Machine Learning Algorithms, K-Means method, K-Nearest Neighbors algorithm (KNN)
وصف الملف: application/pdf
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20Academic Journal
المؤلفون: Maya Gonzalez, Juan Carlos
مصطلحات موضوعية: Atrial fibrillation, artificial neural network (ANN), hybrid classifier, k-nearest neighbors algorithm (KNN), single-board computer, support vector machine (SVM), static wavelet transform, Computador de placa reducida, Fibrilación auricular, K vecinos más cercanos (KNN), red neuronal artificial (ANN), máquina de soporte vectorial (SVM), Transformada Wavelet Estacionaria
وصف الملف: application/pdf
Relation: A. A. Basaif, S. Aljunid, N. Sabri, M. I. Omer, and M. Salim, “Design and implementation of an embedded system to analysis an ecg signal for heart diagnosis system,” Journal of Theoretical and Applied Information Technology, vol. 91, no. 2, p. 289, 2016. A. L. Goldberger, L. A. Amaral, L. Glass, J. M. Hausdorff, P. C. Ivanov, R. G. Mark, J. E. Mietus, G. B. Moody, C.-K. Peng, and H. E. Stanley, “Physiobank, physiotoolkit, and physionet,” Circulation, vol. 101, no. 23, pp. e215–e220, 2000. DOI:10.1161/01.CIR.101.23.e215 C. Rodriguez, J. Gallego, I. D. Mora, A. Orozco-Duque, and J. Bustamante, “Clasificación de latidos de contracción ventricular prematura basados en métodos de aprendizaje no supervisado” Revista Ingeniería Biomédica, vol. 8, no. 15, p. 51, 2014. DOI: 0.24050/19099762.n15.2014.608 D. Batista and A. Fred, “Spectral and time domain parameters for the classification of atrial fibrillation,” in Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2015), 2015, pp. 329–337. D. F. Ransohoff, “Rules of evidence for cancer molecular-marker discovery and validation,” Nature Reviews Cancer, vol. 4, no. 4, p. 309, 2004. DOI:10.1038/nrc1322 D. J. Gladstone, R. Spring et al., “Atrial fibrillation in patients with cryptogenic stroke,” New England Journal of Medicine, vol. 370, no. 26, pp. 2467–2477, 2014. DOI:10.1056/NEJMoa1311376 D. I. Vanegas-Cadavid, “Uso del monitor cardiaco implantable en fibrilación auricular,” Revista Colombiana de Cardiología, vol. 23, pp. 34–39, 2016. DOI:10.1016/j.rccar.2016.10.031 G. Mora-Pabón, “Utilidad del monitor externo de eventos en el tratamiento del paciente con fibrilación auricular,” Revista Colombiana de Cardiología, vol. 23, pp. 40–43, 2016. DOI:10.1016/j.rccar.2016.11.005 H. W. Lim, Y. W. Hau, C. W. Lim, and M. A. Othman, “Artificial intelligence classification methods of atrial fibrillation with implementation technology,” Computer Assisted Surgery, vol. 21, no. sup1, pp. 154–161, 2016. DOI:10.1080/24699322.2016.1240303 J. J. Carvajal, C. Clavijo, L. J. Bautista, and G. Mora, “Características clínicas de pacientes llevados a monitoría externa de eventos,” Revista Colombiana de Cardiología, vol. 21, no. 5, pp. 278–283, 2014. DOI:10.1016/j.rccar.2013.11.001 J. Pérez-Rodon, J. Francisco-Pascual, N. Rivas-G´andara, I. Roca-Luque, N. Bellera, and A` . Moya-Mitjans, “Cryptogenic stroke and role of loop recorder,” Journal of Atrial Fibrillation, vol. 7, no. 4, 2014. DOI:10.4022/jafib.1178. J. Vogler, G. Breithardt, and L. Eckardt, “Bradiarritmias y bloqueos de la conducción,” Revista Española de Cardiología, vol. 65, no. 7, pp. 656–667, 2012. DOI:10.1016/j.recesp.2012.01.025 L. Villa-Rodríguez, J. D. Lemos-Duque et al., “Desarrollo de un holter digital con grabación de eventos y software de visualización,” Revista ingeniería biomédica, 2014. DOI:10.24050/19099762.n7.2010.84 M. A. Rockx, J. S. Hoch, and Klein, “Is ambulatory monitoring for “community-acquired” syncope economically attractive? A cost-effectiveness analysis of a randomized trial of external loop recorders versus Holter monitoring,” American heart journal, vol. 150, no. 5, pp. 1065–e1, 2005. DOI:10.1016/j.ahj.2005.08.003 M. R. Homaeinezhad, S. Atyabi, E. Tavakkoli, H. N. Toosi, A. Ghaffari, and R. Ebrahimpour, “Ecg arrhythmia recognition via a neuro-svm–knn hybrid classifier with virtual qrs image-based geometrical features,” Expert Systems with Applications, vol. 39, no. 2, pp. 2047– 2058, 2012. DOI:10.1016/j.eswa.2011.08.025 N. Larburu, T. Lopetegi, and I. Romero, “Comparative study of algorithms for atrial fibrillation detection,” in Computing in Cardiology, 2011. IEEE, 2011, pp. 265–268. P. Zimetbaum and A. Goldman, “Ambulatory arrhythmia monitoring,” Circulation, vol. 122, no. 16, pp. 1629 – 1636, 2010. DOI:10.1161/CIRCULATIONAHA.109.925610 Q. He, B. Segee, and V. Weaver, “Raspberry pi 2 b gpu power, performance, and energy implications,” in Computational Science and Computational Intelligence (CSCI), 2016 International Conference on. IEEE, 2016, pp. 163–167. DOI:10.1109/CSCI.2016.0038 R. Colloca, A. E. Johnson, L. Mainardi, and G. D. Clifford, “A support vector machine approach for reliable detection of atrial fibrillation events,” in Computing in Cardiology Conference (CinC), 2013. IEEE, 2013, pp.1047–1050. R. J. Martis, U. R. Acharya, and H. Adeli, “Current methods in electrocardiogram characterization,” Computers in biology and medicine, vol. 48, pp. 133–149, 2014. DOI:10.1016/j.compbiomed.2014.02.012 S. Asgari, A. Mehrnia, and M. Moussavi, “Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machine,” Computers in biology and medicine, vol. 60, pp. 132–142, 2015. DOI:10.1016/j.compbiomed.2015.03.005 S. Mittal, C. Movsowitz, and J. S. Steinberg, “Ambulatory external electrocardiographic monitoring: focus on atrial fibrillation,” Journal of the American College of Cardiology, vol. 58, no. 17, pp. 1741–1749, 2011. DOI:10.1016/j.jacc.2011.07.026. S. Sovilj, G. Rajsman, and R. Magjarevi´c, “Ecg based prediction of atrial fibrillation using support vector classifier,” AUTOMATIKA: Journal of Automation, Measurement, Electronics, Computing and Communications, vol. 52, no. 1, pp. 58–67, 2011. DOI:10.1080/00051144.2011.11828404 S. Raj, S. Luthra, and K. C. Ray, “Development of handheld cardiac event monitoring system,” IFACPapersOnLine, vol. 48, no. 4, pp. 71–76, 2015. DOI:10.1016/j.ifacol.2015.07.010 T. Jeon, B. Kim, M. Jeon, and B.-G. Lee, “Implementation of a portable device for real-time ecg signal analysis,” Biomedical engineering online, vol. 13, no. 1, p. 160, 2014. DOI:10.1186/1475-925X-13-160. W. contributors, “K-nearest neighbors algorithm wikipedia the free encyclopedia,” 2018, [Online; accessed 9-October-2021]. [Online]. Available: https://en.wikipedia.org/w/index.php?title=K-nearest neighbors algorithm&oldid=827389390; https://revistas.eia.edu.co/index.php/reveia/article/download/1565/1475; Núm. 38 , Año 2022 : .; 14; 38; 3823 pp. 1; 19; Revista EIA; https://repository.eia.edu.co/handle/11190/5180; https://doi.org/10.24050/reia.v19i38.1565