Artigos de revistas sobre o tema "Data quality and noise"
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Van Hulse, Jason, Taghi M. Khoshgoftaar e Amri Napolitano. "Evaluating the Impact of Data Quality on Sampling". Journal of Information & Knowledge Management 10, n.º 03 (setembro de 2011): 225–45. http://dx.doi.org/10.1142/s021964921100295x.
Texto completo da fonteLi, Benchong, e Qiong Gao. "Improving data quality with label noise correction". Intelligent Data Analysis 23, n.º 4 (26 de setembro de 2019): 737–57. http://dx.doi.org/10.3233/ida-184024.
Texto completo da fonteNing, Ai Min, Cheng Li e Zhao Liu. "Acoustic Transceiver Optimization Analysis for Downhole Sensor Data Telemetry via Drillstring". Applied Mechanics and Materials 302 (fevereiro de 2013): 389–94. http://dx.doi.org/10.4028/www.scientific.net/amm.302.389.
Texto completo da fonteTerbe, Dániel, László Orzó, Barbara Bicsák e Ákos Zarándy. "Hologram Noise Model for Data Augmentation and Deep Learning". Sensors 24, n.º 3 (1 de fevereiro de 2024): 948. http://dx.doi.org/10.3390/s24030948.
Texto completo da fonteV, Malathi, e Gopinath MP. "Noise Deduction in Novel Paddy Data Repository using Filtering Techniques". Scalable Computing: Practice and Experience 21, n.º 4 (20 de dezembro de 2020): 601–10. http://dx.doi.org/10.12694/scpe.v21i4.1718.
Texto completo da fonteHedderich, Michael A., Dawei Zhu e Dietrich Klakow. "Analysing the Noise Model Error for Realistic Noisy Label Data". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 9 (18 de maio de 2021): 7675–84. http://dx.doi.org/10.1609/aaai.v35i9.16938.
Texto completo da fonteAtaeyan, Mahdieh, e Negin Daneshpour. "Automated Noise Detection in a Database Based on a Combined Method". Statistics, Optimization & Information Computing 9, n.º 3 (9 de junho de 2021): 665–80. http://dx.doi.org/10.19139/soic-2310-5070-879.
Texto completo da fonteShin, Jaegwang, e Suan Lee. "Robust and Lightweight Deep Learning Model for Industrial Fault Diagnosis in Low-Quality and Noisy Data". Electronics 12, n.º 2 (13 de janeiro de 2023): 409. http://dx.doi.org/10.3390/electronics12020409.
Texto completo da fonteLiu, Xiaoqiong, Guang Li, Jin Li, Xiaohui Zhou, Xianjie Gu, Cong Zhou e Meng Gong. "Self-organizing Competitive Neural Network Based Adaptive Sparse Representation for Magnetotelluric Data Denoising". Journal of Physics: Conference Series 2651, n.º 1 (1 de dezembro de 2023): 012129. http://dx.doi.org/10.1088/1742-6596/2651/1/012129.
Texto completo da fonteKaspirzhny, Anton V., Paul Gogan, Ginette Horcholle-Bossavit e Suzanne Tyč-Dumont. "Neuronal morphology data bases: morphological noise and assesment of data quality". Network: Computation in Neural Systems 13, n.º 3 (janeiro de 2002): 357–80. http://dx.doi.org/10.1088/0954-898x_13_3_307.
Texto completo da fonteN. Hussin, Kholood, Ali K. Nahar e Hussain Kareem Khleaf. "A hybrid bat-genetic algorithm for improving the visual quality of medical images". Indonesian Journal of Electrical Engineering and Computer Science 28, n.º 1 (1 de outubro de 2022): 220. http://dx.doi.org/10.11591/ijeecs.v28.i1.pp220-226.
Texto completo da fonteDunne, Jarrod, e Greg Beresford. "Improving seismic data quality in the Gippsland Basin (Australia)". GEOPHYSICS 63, n.º 5 (setembro de 1998): 1496–506. http://dx.doi.org/10.1190/1.1444446.
Texto completo da fonteOh, Soo Hee, e Kyoungwon Lee. "Aircraft Noise of Airport Community in Korea". Audiology and Speech Research 16, n.º 1 (31 de janeiro de 2020): 1–10. http://dx.doi.org/10.21848/asr.200001.
Texto completo da fontePan, Yufei, Zehui Yuan, Jiaoyu Zheng e Xiaoyang Ma. "Recovery of Power Quality Terminal’s Harmonic Data with the Interference of Bad Data". Electronics 11, n.º 11 (26 de maio de 2022): 1694. http://dx.doi.org/10.3390/electronics11111694.
Texto completo da fonteПавло Б. Олійник. "DATA FILTERING METHODS FOR HYDROGRAPHIC SURVEY DATA". MECHANICS OF GYROSCOPIC SYSTEMS, n.º 27 (6 de outubro de 2014): 10–18. http://dx.doi.org/10.20535/0203-377127201437908.
Texto completo da fonteKHOSHGOFTAAR, TAGHI M., VEDANG JOSHI e NAEEM SELIYA. "DETECTING NOISY INSTANCES WITH THE ENSEMBLE FILTER: A STUDY IN SOFTWARE QUALITY ESTIMATION". International Journal of Software Engineering and Knowledge Engineering 16, n.º 01 (fevereiro de 2006): 53–76. http://dx.doi.org/10.1142/s0218194006002677.
Texto completo da fontePortela, Filipe, Manuel Filipe Santos, António Abelha, José Machado e Fernando Rua. "Data Quality and Critical Events in Ventilation". International Journal of Reliable and Quality E-Healthcare 6, n.º 2 (abril de 2017): 40–48. http://dx.doi.org/10.4018/ijrqeh.2017040104.
Texto completo da fonteWu, Sihong, Qinghua Huang e Li Zhao. "De-noising of transient electromagnetic data based on the long short-term memory-autoencoder". Geophysical Journal International 224, n.º 1 (8 de setembro de 2020): 669–81. http://dx.doi.org/10.1093/gji/ggaa424.
Texto completo da fonteWang, Runjie, Wenzhong Shi, Xianglei Liu e Zhiyuan Li. "An Adaptive Cutoff Frequency Selection Approach for Fast Fourier Transform Method and Its Application into Short-Term Traffic Flow Forecasting". ISPRS International Journal of Geo-Information 9, n.º 12 (7 de dezembro de 2020): 731. http://dx.doi.org/10.3390/ijgi9120731.
Texto completo da fonteShi, Haoxiang, Jun Ai, Jingyu Liu e Jiaxi Xu. "Improving Software Defect Prediction in Noisy Imbalanced Datasets". Applied Sciences 13, n.º 18 (19 de setembro de 2023): 10466. http://dx.doi.org/10.3390/app131810466.
Texto completo da fonteYang, Han Sheng. "Denoising Power Quality Signal Using Savitzky-Golay Based on Virtual Instrument". Advanced Materials Research 655-657 (janeiro de 2013): 974–77. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.974.
Texto completo da fonteBrochier, Tim J., Amanda Fullerton, Adam Hersbach, Harish Krishnamoorthi e Zachary Smith. "Deep neural network-based speech enhancement for cochlear implants". Journal of the Acoustical Society of America 154, n.º 4_supplement (1 de outubro de 2023): A28. http://dx.doi.org/10.1121/10.0022678.
Texto completo da fonteLiao, Chiung Chou, e Ming Xuan Gu. "Implementation of Power Quality Event Detector on a FPGA-Based System". Advanced Materials Research 433-440 (janeiro de 2012): 3918–22. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3918.
Texto completo da fontePurwanti Ningrum, Ika, Agfianto Eko Putra e Dian Nursantika. "Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna". IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 5, n.º 3 (19 de novembro de 2011): 29. http://dx.doi.org/10.22146/ijccs.5209.
Texto completo da fonteSeybold, Tamara, Marion Knopp, Christian Keimel e Walter Stechele. "Beyond Standard Noise Models: Evaluating Denoising Algorithms with Respect to Realistic Camera Noise". International Journal of Semantic Computing 08, n.º 02 (junho de 2014): 145–67. http://dx.doi.org/10.1142/s1793351x14400029.
Texto completo da fonteLiu, Zhenhua, Ting Wang, Yonghua Qu, Huiming Liu, Xiaofang Wu e Ya Wen. "Prediction of High-Quality MODIS-NPP Product Data". Remote Sensing 11, n.º 12 (20 de junho de 2019): 1458. http://dx.doi.org/10.3390/rs11121458.
Texto completo da fonteAl-Attabi, Ali, e Ali Al. "Spectral Graph Filtering for Noisy Signals Using the Kalman filter". ECTI Transactions on Electrical Engineering, Electronics, and Communications 21, n.º 2 (27 de junho de 2023): 249818. http://dx.doi.org/10.37936/ecti-eec.2023212.249818.
Texto completo da fonteOhkubo, Masato, e Yasushi Nagata. "Anomaly Detection for Noisy Data with the Mahalanobis–Taguchi System". Quality Innovation Prosperity 24, n.º 2 (31 de julho de 2020): 75. http://dx.doi.org/10.12776/qip.v24i2.1441.
Texto completo da fonteZokay, Sam. "Construction noise modelling—A comparison of equipment noise emissions data sources". Journal of the Acoustical Society of America 155, n.º 3_Supplement (1 de março de 2024): A199. http://dx.doi.org/10.1121/10.0027295.
Texto completo da fonteNisha, Bernad, e M. Victor Jose. "DTMF: Decision Based Trimmed Multimode Approach Filter for Denoising MRI Images". IT Journal Research and Development 7, n.º 2 (7 de fevereiro de 2023): 152–72. http://dx.doi.org/10.25299/itjrd.2023.9463.
Texto completo da fonteNematzadeh, Zahra, Roliana Ibrahim, Ali Selamat e Vahdat Nazerian. "The synergistic combination of fuzzy C-means and ensemble filtering for class noise detection". Engineering Computations 37, n.º 7 (15 de junho de 2020): 2337–55. http://dx.doi.org/10.1108/ec-05-2019-0242.
Texto completo da fonteSelvaraj, Poovarasan, e E. Chandra. "A variant of SWEMDH technique based on variational mode decomposition for speech enhancement". International Journal of Knowledge-based and Intelligent Engineering Systems 25, n.º 3 (10 de novembro de 2021): 299–308. http://dx.doi.org/10.3233/kes-210072.
Texto completo da fonteGlick, Meir, Anthony E. Klon, Pierre Acklin e John W. Davies. "Enrichment of Extremely Noisy High-Throughput Screening Data Using a Naïve Bayes Classifier". Journal of Biomolecular Screening 9, n.º 1 (fevereiro de 2004): 32–36. http://dx.doi.org/10.1177/1087057103260590.
Texto completo da fonteZhang, Zihui, Cuican Yu, Shuang Xu e Huibin Li. "Learning Flexibly Distributional Representation for Low-quality 3D Face Recognition". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de maio de 2021): 3465–73. http://dx.doi.org/10.1609/aaai.v35i4.16460.
Texto completo da fonteF Acernese, M. Agathos, A. Ain, S. Albanesi, A. Allocca, A. Amato, T. Andrade et al. "Virgo detector characterization and data quality: tools". Classical and Quantum Gravity 40, n.º 18 (14 de agosto de 2023): 185005. http://dx.doi.org/10.1088/1361-6382/acdf36.
Texto completo da fonteLi, Chaoqun, Victor S. Sheng, Liangxiao Jiang e Hongwei Li. "Noise filtering to improve data and model quality for crowdsourcing". Knowledge-Based Systems 107 (setembro de 2016): 96–103. http://dx.doi.org/10.1016/j.knosys.2016.06.003.
Texto completo da fonteLi, Chaoqun, Liangxiao Jiang e Wenqiang Xu. "Noise correction to improve data and model quality for crowdsourcing". Engineering Applications of Artificial Intelligence 82 (junho de 2019): 184–91. http://dx.doi.org/10.1016/j.engappai.2019.04.004.
Texto completo da fontePuyana-Romero, Virginia, Giuseppe Ciaburro, Giovanni Brambilla, Christiam Garzón e Luigi Maffei. "Representation of the soundscape quality in urban areas through colours". Noise Mapping 6, n.º 1 (16 de maio de 2019): 8–21. http://dx.doi.org/10.1515/noise-2019-0002.
Texto completo da fonteZafar, M. I., S. Bharadwaj, R. Dubey e S. Biswas. "DIFFERENT SCALES OF URBAN TRAFFIC NOISE PREDICTION". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (14 de agosto de 2020): 1181–88. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1181-2020.
Texto completo da fonteZhou, Haoqiu, Xuan Feng, Zejun Dong, Cai Liu e Wenjing Liang. "Application of Denoising CNN for Noise Suppression and Weak Signal Extraction of Lunar Penetrating Radar Data". Remote Sensing 13, n.º 4 (20 de fevereiro de 2021): 779. http://dx.doi.org/10.3390/rs13040779.
Texto completo da fonteOboué, Yapo Abolé Serge Innocent, e Yangkang Chen. "Enhanced low-rank matrix estimation for simultaneous denoising and reconstruction of 5D seismic data". GEOPHYSICS 86, n.º 5 (1 de setembro de 2021): V459—V470. http://dx.doi.org/10.1190/geo2020-0773.1.
Texto completo da fonteCarpenter, Chris. "Cleaned Hydrophone Array Logging Data Aids Identification of Wellbore Leaks". Journal of Petroleum Technology 74, n.º 07 (1 de julho de 2022): 59–61. http://dx.doi.org/10.2118/0722-0059-jpt.
Texto completo da fonteHermance, John F. "Ground‐penetrating radar: Postmigration stacking of n-fold common midpoint profile data". GEOPHYSICS 66, n.º 2 (março de 2001): 379–88. http://dx.doi.org/10.1190/1.1444929.
Texto completo da fonteYuan, Jianlong, Jiashun Yu, Xiaobo Fu e Chao Han. "Antinoise performance of time-reverse imaging conditions for microseismic location". GEOPHYSICS 85, n.º 3 (14 de abril de 2020): KS75—KS87. http://dx.doi.org/10.1190/geo2019-0488.1.
Texto completo da fonteGeng, Yu, Zongbo Han, Changqing Zhang e Qinghua Hu. "Uncertainty-Aware Multi-View Representation Learning". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 9 (18 de maio de 2021): 7545–53. http://dx.doi.org/10.1609/aaai.v35i9.16924.
Texto completo da fonteAbe, Hitoshi, Giuliana Aquilanti, Roberto Boada, Bruce Bunker, Pieter Glatzel, Maarten Nachtegaal e Sakura Pascarelli. "Improving the quality of XAFS data". Journal of Synchrotron Radiation 25, n.º 4 (29 de maio de 2018): 972–80. http://dx.doi.org/10.1107/s1600577518006021.
Texto completo da fonteLee, Sang-Kwon, Kanghyun An, Hye-Young Cho e Sung-Uk Hwang. "Prediction and Sound Quality Analysis of Tire Pattern Noise Based on System Identification by Utilizing an Optimal Adaptive Filter". Applied Sciences 9, n.º 19 (24 de setembro de 2019): 3995. http://dx.doi.org/10.3390/app9193995.
Texto completo da fonteKonyar, Mehmet Zeki, e Sıtkı Öztürk. "Reed Solomon Coding-Based Medical Image Data Hiding Method against Salt and Pepper Noise". Symmetry 12, n.º 6 (1 de junho de 2020): 899. http://dx.doi.org/10.3390/sym12060899.
Texto completo da fonteZhu, Mengjun, Wenjun Yi, Zhaohua Dong, Peng Xiong, Junyi Du, Xingjia Tang, Ying Yang et al. "Refinement method for compressive hyperspectral data cubes based on self-fusion". Journal of the Optical Society of America A 39, n.º 12 (22 de novembro de 2022): 2282. http://dx.doi.org/10.1364/josaa.465165.
Texto completo da fonteZhao, Y. X., Y. Li e N. Wu. "Data augmentation and its application in distributed acoustic sensing data denoising". Geophysical Journal International 228, n.º 1 (24 de agosto de 2021): 119–33. http://dx.doi.org/10.1093/gji/ggab345.
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