Artículos de revistas sobre el tema "SUPERVISED TECHNOLOGY"
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Zohuri, Bahman. "The Evolution of Artificial Intelligence: From Supervised to Semi-Supervised and Ultimately Unsupervised Technology Trends". Current Trends in Engineering Science (CTES) 3, n.º 5 (22 de agosto de 2023): 1–4. http://dx.doi.org/10.54026/ctes/1040.
Texto completoSun, Tong He y Guo Qing Yan. "Land Utilization and Classification Method Based on Remote Sensing Technology". Applied Mechanics and Materials 239-240 (diciembre de 2012): 501–6. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.501.
Texto completoAbdullah, Khalid Murad, Bahaulddin Nabhan Adday, Refed Adnan Jaleel, Iman Mohammed Burhan, Mohanad Ahmed Salih y Musaddak Maher Abdul Zahra. "Integrating of Promising Computer Network Technology with Intelligent Supervised Machine Learning for Better Performance". Webology 19, n.º 1 (20 de enero de 2022): 3792–99. http://dx.doi.org/10.14704/web/v19i1/web19249.
Texto completoD M, Yashaswini. "Detection of Fake Online Reviews using Semi-supervised and Supervised learning". International Journal for Research in Applied Science and Engineering Technology 10, n.º 7 (31 de julio de 2022): 789–96. http://dx.doi.org/10.22214/ijraset.2022.44368.
Texto completoChoi, Sungchul, Mokhammad Afifuddin y Wonchul Seo. "A Supervised Learning-Based Approach to Anticipating Potential Technology Convergence". IEEE Access 10 (2022): 19284–300. http://dx.doi.org/10.1109/access.2022.3151870.
Texto completoAli, MD Mohsin, S. Vamshi, S. Shiva y S. Bhanu Prakash. "Virtual Assistant Using Supervised Learning". International Journal for Research in Applied Science and Engineering Technology 11, n.º 6 (30 de junio de 2023): 3239–45. http://dx.doi.org/10.22214/ijraset.2023.54262.
Texto completoWang, Xiujuan, Siwei Cao, Kangfeng Zheng, Xu Guo y Yutong Shi. "Supervised Character Resemble Substitution Personality Adversarial Method". Electronics 12, n.º 4 (8 de febrero de 2023): 869. http://dx.doi.org/10.3390/electronics12040869.
Texto completoWang, Hanyun. "Comparing supervised and unsupervised learning in image denoising". Applied and Computational Engineering 5, n.º 1 (14 de junio de 2023): 284–91. http://dx.doi.org/10.54254/2755-2721/5/20230581.
Texto completoChettri, Ajanta, Amal George, Dr A. Rengarajan y Feon Jaison. "Research Paper on Fake Online Reviews Detection using Semi-supervised and Supervised learning". International Journal for Research in Applied Science and Engineering Technology 10, n.º 4 (30 de abril de 2022): 1973–79. http://dx.doi.org/10.22214/ijraset.2022.41687.
Texto completoChettri, Ajanta, Amal George, Dr A. Rengarajan y Feon Jaison. "Research Paper on Fake Online Reviews Detection using Semi-supervised and Supervised learning". International Journal for Research in Applied Science and Engineering Technology 10, n.º 4 (30 de abril de 2022): 1973–79. http://dx.doi.org/10.22214/ijraset.2022.41687.
Texto completoQiu, Qingchen, Xuelian Wu, Zhi Liu, Bo Tang, Yuefeng Zhao, Xinyi Wu, Hongliang Zhu y Yang Xin. "Survey of supervised classification techniques for hyperspectral images". Sensor Review 37, n.º 3 (19 de junio de 2017): 371–82. http://dx.doi.org/10.1108/sr-07-2016-0124.
Texto completoKola, Lokesh. "A Comparison on Supervised and Semi-Supervised Machine Learning Classifiers for Gestational Diabetes Prediction". International Journal for Research in Applied Science and Engineering Technology 9, n.º 12 (31 de diciembre de 2021): 1001–5. http://dx.doi.org/10.22214/ijraset.2021.39434.
Texto completoQiu, Dongwei, Haorong Liang, Zhilin Wang, Yuci Tong y Shanshan Wan. "Hybrid-Supervised-Learning-Based Automatic Image Segmentation for Water Leakage in Subway Tunnels". Applied Sciences 12, n.º 22 (20 de noviembre de 2022): 11799. http://dx.doi.org/10.3390/app122211799.
Texto completoAlZuhair, Mona Suliman, Mohamed Maher Ben Ismail y Ouiem Bchir. "Soft Semi-Supervised Deep Learning-Based Clustering". Applied Sciences 13, n.º 17 (27 de agosto de 2023): 9673. http://dx.doi.org/10.3390/app13179673.
Texto completoSáiz-Manzanares, María Consuelo, Ismael Ramos Pérez, Adrián Arnaiz Rodríguez, Sandra Rodríguez Arribas, Leandro Almeida y Caroline Françoise Martin. "Analysis of the Learning Process through Eye Tracking Technology and Feature Selection Techniques". Applied Sciences 11, n.º 13 (2 de julio de 2021): 6157. http://dx.doi.org/10.3390/app11136157.
Texto completoHardy, Andy, Gregory Oakes, Juma Hassan y Yussuf Yussuf. "Improved Use of Drone Imagery for Malaria Vector Control through Technology-Assisted Digitizing (TAD)". Remote Sensing 14, n.º 2 (11 de enero de 2022): 317. http://dx.doi.org/10.3390/rs14020317.
Texto completoLiu, MengYang, MingJun Li y XiaoYang Zhang. "The Application of the Unsupervised Migration Method Based on Deep Learning Model in the Marketing Oriented Allocation of High Level Accounting Talents". Computational Intelligence and Neuroscience 2022 (6 de junio de 2022): 1–10. http://dx.doi.org/10.1155/2022/5653942.
Texto completoLiu, MengYang, MingJun Li y XiaoYang Zhang. "The Application of the Unsupervised Migration Method Based on Deep Learning Model in the Marketing Oriented Allocation of High Level Accounting Talents". Computational Intelligence and Neuroscience 2022 (6 de junio de 2022): 1–10. http://dx.doi.org/10.1155/2022/5653942.
Texto completoBorda, Davide, Mattia Bergagio, Massimo Amerio, Marco Carlo Masoero, Romano Borchiellini y Davide Papurello. "Development of Anomaly Detectors for HVAC Systems Using Machine Learning". Processes 11, n.º 2 (10 de febrero de 2023): 535. http://dx.doi.org/10.3390/pr11020535.
Texto completoTong, Yuerong, Jingyi Liu, Lina Yu, Liping Zhang, Linjun Sun, Weijun Li, Xin Ning, Jian Xu, Hong Qin y Qiang Cai. "Technology investigation on time series classification and prediction". PeerJ Computer Science 8 (18 de mayo de 2022): e982. http://dx.doi.org/10.7717/peerj-cs.982.
Texto completoDhamelia, Hemin y Riti Moradiya. "Unlocking Hidden Insights: Unleashing the Strength of Semi-Supervised Learning in Machine Learning". International Journal for Research in Applied Science and Engineering Technology 11, n.º 8 (31 de agosto de 2023): 2049–57. http://dx.doi.org/10.22214/ijraset.2023.55468.
Texto completoSun, Tong He y Guo Qing Yan. "Land Classification Method and Analysis Based on Remote Sensing Technology". Advanced Materials Research 726-731 (agosto de 2013): 4582–86. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.4582.
Texto completoJiang, Yi y Hui Sun. "Top-K Pseudo Labeling for Semi-Supervised Image Classification". International Journal of Data Warehousing and Mining 19, n.º 2 (30 de diciembre de 2022): 1–18. http://dx.doi.org/10.4018/ijdwm.316150.
Texto completoChen, Shouchun, Fei Wang, Yangqiu Song y Changshui Zhang. "Semi-supervised ranking aggregation". Information Processing & Management 47, n.º 3 (mayo de 2011): 415–25. http://dx.doi.org/10.1016/j.ipm.2010.09.003.
Texto completoSong, Yide. "Weakly-Supervised and Unsupervised Video Anomaly Detection". Highlights in Science, Engineering and Technology 12 (26 de agosto de 2022): 160–70. http://dx.doi.org/10.54097/hset.v12i.1444.
Texto completoWang, Jiahao, Junhao Zhao, Hong Sun, Xiao Lu, Jixia Huang, Shaohua Wang y Guofei Fang. "Satellite Remote Sensing Identification of Discolored Standing Trees for Pine Wilt Disease Based on Semi-Supervised Deep Learning". Remote Sensing 14, n.º 23 (23 de noviembre de 2022): 5936. http://dx.doi.org/10.3390/rs14235936.
Texto completoPeterson, Carsten, Stephen Redfield, James D. Keeler y Eric Hartman. "An Optoelectronic Architecture for Multilayer Learning in a Single Photorefractive Crystal". Neural Computation 2, n.º 1 (marzo de 1990): 25–34. http://dx.doi.org/10.1162/neco.1990.2.1.25.
Texto completoHuang, Yanli. "Open Learning Environment for Multimodal Learning Based on Knowledge Base Technology". International Journal of Emerging Technologies in Learning (iJET) 18, n.º 11 (7 de junio de 2023): 38–51. http://dx.doi.org/10.3991/ijet.v18i11.39397.
Texto completoZhao, Jianhua y Ning Liu. "Semi-supervised Classification Based Mixed Sampling for Imbalanced Data". Open Physics 17, n.º 1 (31 de diciembre de 2019): 975–83. http://dx.doi.org/10.1515/phys-2019-0103.
Texto completoSong, Xiao Na, Jun Zheng, Pei Li, Xiao Xia Hou, Jing Rong Zhang, Yan Ping Hu y Ning Gao. "Design of Intelligent Supervised System Based on Internet of Things". Advanced Materials Research 816-817 (septiembre de 2013): 967–70. http://dx.doi.org/10.4028/www.scientific.net/amr.816-817.967.
Texto completoZhang, Kun, Hai Feng Wang y Zhuang Li. "Based on IDRISI Remote Sensing Images Land-Use Types of Supervised Classification Techniques". Applied Mechanics and Materials 415 (septiembre de 2013): 305–8. http://dx.doi.org/10.4028/www.scientific.net/amm.415.305.
Texto completoNivelkar, Mukta y S. G. Bhirud. "Modeling of Supervised Machine Learning using Mechanism of Quantum Computing." Journal of Physics: Conference Series 2161, n.º 1 (1 de enero de 2022): 012023. http://dx.doi.org/10.1088/1742-6596/2161/1/012023.
Texto completoSchneider, Tizian, Steffen Klein y Andreas Schütze. "Machine learning in industrial measurement technology for detection of known and unknown faults of equipment and sensors". tm - Technisches Messen 86, n.º 11 (26 de noviembre de 2019): 706–18. http://dx.doi.org/10.1515/teme-2019-0086.
Texto completoWang, Cong, Wanshu Fan, Yutong Wu y Zhixun Su. "Weakly supervised single image dehazing". Journal of Visual Communication and Image Representation 72 (octubre de 2020): 102897. http://dx.doi.org/10.1016/j.jvcir.2020.102897.
Texto completoKong, Yating, Jide Li, Liangpeng Hu y Xiaoqiang Li. "Semi-Supervised Learning Matting Algorithm Based on Semantic Consistency of Trimaps". Applied Sciences 13, n.º 15 (26 de julio de 2023): 8616. http://dx.doi.org/10.3390/app13158616.
Texto completoZhao, Qingyu, Zixuan Liu, Ehsan Adeli y Kilian M. Pohl. "Longitudinal self-supervised learning". Medical Image Analysis 71 (julio de 2021): 102051. http://dx.doi.org/10.1016/j.media.2021.102051.
Texto completoHang, Feilu, Wei Guo, Hexiong Chen, Linjiang Xie, Xiaoyu Bai y Yao Liu. "Network Intrusion Anomaly Detection Model Based on Multiclassifier Fusion Technology". Mobile Information Systems 2023 (8 de abril de 2023): 1–11. http://dx.doi.org/10.1155/2023/1594622.
Texto completoBordoloi, Monali, Preetam Chayan Chatterjee, Saroj Kumar Biswas y Biswajit Purkayastha. "Keyword extraction using supervised cumulative TextRank". Multimedia Tools and Applications 79, n.º 41-42 (21 de agosto de 2020): 31467–96. http://dx.doi.org/10.1007/s11042-020-09335-1.
Texto completoShu, Xin, Haiyan Jiang y Huanliang Xu. "Graph regularized supervised cross-view hashing". Multimedia Tools and Applications 77, n.º 21 (27 de abril de 2018): 28207–24. http://dx.doi.org/10.1007/s11042-018-5988-3.
Texto completoYang, Haichuan, Xiao Bai, Yanzhen Liu, Yanyang Wang, Lu Bai, Jun Zhou y Wenzhong Tang. "Maximum margin hashing with supervised information". Multimedia Tools and Applications 75, n.º 7 (27 de enero de 2016): 3955–71. http://dx.doi.org/10.1007/s11042-015-3159-3.
Texto completoRam, Nikhil Chandra Sai, Gowtham Vakati, Jagadesh Varma Nadimpall, Yash Sah y Sai Karthik Datla. "Fake Reviews Detection Using Supervised Machine Learning". International Journal for Research in Applied Science and Engineering Technology 10, n.º 5 (31 de mayo de 2022): 3718–27. http://dx.doi.org/10.22214/ijraset.2022.43202.
Texto completoShin, Sungho, Jongwon Kim, Yeonguk Yu, Seongju Lee y Kyoobin Lee. "Self-Supervised Transfer Learning from Natural Images for Sound Classification". Applied Sciences 11, n.º 7 (29 de marzo de 2021): 3043. http://dx.doi.org/10.3390/app11073043.
Texto completoCaponi, Matteo, Adam Cox y Siddharth Misra. "Viscosity prediction using image processing and supervised learning". Fuel 339 (mayo de 2023): 127320. http://dx.doi.org/10.1016/j.fuel.2022.127320.
Texto completoZhou, Ruixu, Wensheng Gao, Dengwei Ding y Weidong Liu. "Supervised dimensionality reduction technology of generalized discriminant component analysis and its kernelization forms". Pattern Recognition 124 (abril de 2022): 108450. http://dx.doi.org/10.1016/j.patcog.2021.108450.
Texto completoCheng, Ning, Hongpo Zhang y Zhanbo Li. "Data sanitization against label flipping attacks using AdaBoost-based semi-supervised learning technology". Soft Computing 25, n.º 23 (18 de octubre de 2021): 14573–81. http://dx.doi.org/10.1007/s00500-021-06384-y.
Texto completoLopane, Giovanna, Sabato Mellone, Mattia Corzani, Lorenzo Chiari, Pietro Cortelli, Giovanna Calandra-Buonaura y Manuela Contin. "Supervised versus unsupervised technology-based levodopa monitoring in Parkinson’s disease: an intrasubject comparison". Journal of Neurology 265, n.º 6 (29 de marzo de 2018): 1343–52. http://dx.doi.org/10.1007/s00415-018-8848-1.
Texto completoHuang, Ri Sheng. "Information Technology in an Improved Supervised Locally Linear Embedding for Recognizing Speech Emotion". Advanced Materials Research 1014 (julio de 2014): 375–78. http://dx.doi.org/10.4028/www.scientific.net/amr.1014.375.
Texto completoRana, Soumya Prakash, Maitreyee Dey, Riccardo Loretoni, Michele Duranti, Mohammad Ghavami, Sandra Dudley y Gianluigi Tiberi. "Radiation-Free Microwave Technology for Breast Lesion Detection Using Supervised Machine Learning Model". Tomography 9, n.º 1 (12 de enero de 2023): 105–29. http://dx.doi.org/10.3390/tomography9010010.
Texto completoLiu, Chuang, Kang Su, Long Yang, Jie Li y Jingbo Guo. "Detection of Complex Features of Car Body-in-White under Limited Number of Samples Using Self-Supervised Learning". Coatings 12, n.º 5 (29 de abril de 2022): 614. http://dx.doi.org/10.3390/coatings12050614.
Texto completoWang, Jiayan, Zongmin Li, Xujian Qiao, Baodi Liu y Yu Zhao. "Semi-Supervised Few-shot Image Classification Based on Subspace Learning". Journal of Physics: Conference Series 2171, n.º 1 (1 de enero de 2022): 012063. http://dx.doi.org/10.1088/1742-6596/2171/1/012063.
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