Статті в журналах з теми "Ensemble neural noise"
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Timme, Nicholas M., David Linsenbardt, and Christopher C. Lapish. "A Method to Present and Analyze Ensembles of Information Sources." Entropy 22, no. 5 (May 21, 2020): 580. http://dx.doi.org/10.3390/e22050580.
Повний текст джерелаNanni, Loris, Gianluca Maguolo, Sheryl Brahnam, and Michelangelo Paci. "An Ensemble of Convolutional Neural Networks for Audio Classification." Applied Sciences 11, no. 13 (June 22, 2021): 5796. http://dx.doi.org/10.3390/app11135796.
Повний текст джерелаSheng, Chunyang, Haixia Wang, Xiao Lu, Zhiguo Zhang, Wei Cui, and Yuxia Li. "Distributed Gaussian Granular Neural Networks Ensemble for Prediction Intervals Construction." Complexity 2019 (July 3, 2019): 1–17. http://dx.doi.org/10.1155/2019/2379584.
Повний текст джерелаChaouachi, Aymen, Rashad M. Kamel, and Ken Nagasaka. "Neural Network Ensemble-Based Solar Power Generation Short-Term Forecasting." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 1 (January 20, 2010): 69–75. http://dx.doi.org/10.20965/jaciii.2010.p0069.
Повний текст джерелаNoh, Kyoungjin, and Joon-Hyuk Chang. "Deep neural network ensemble for reducing artificial noise in bandwidth extension." Digital Signal Processing 102 (July 2020): 102760. http://dx.doi.org/10.1016/j.dsp.2020.102760.
Повний текст джерелаHe, Lei, Xiaohong Shen, Muhang Zhang, and Haiyan Wang. "Discriminative Ensemble Loss for Deep Neural Network on Classification of Ship-Radiated Noise." IEEE Signal Processing Letters 28 (2021): 449–53. http://dx.doi.org/10.1109/lsp.2021.3057539.
Повний текст джерелаDai, Feng Yan, Zhao Yao Shi, and Jia Chun Lin. "Research of Defect Detection Method Noise for Bevel Gear." Advanced Materials Research 889-890 (February 2014): 722–25. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.722.
Повний текст джерелаEt. al., Rajesh Birok,. "ECG Denoising Using Artificial Neural Networks and Complete Ensemble Empirical Mode Decomposition." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 10, 2021): 2382–89. http://dx.doi.org/10.17762/turcomat.v12i2.2033.
Повний текст джерелаJin, Dequan, Jigen Peng, and Bin Li. "A New Clustering Approach on the Basis of Dynamical Neural Field." Neural Computation 23, no. 8 (August 2011): 2032–57. http://dx.doi.org/10.1162/neco_a_00153.
Повний текст джерелаChen, Kai, Kai Xie, Chang Wen, and Xin-Gong Tang. "Weak Signal Enhance Based on the Neural Network Assisted Empirical Mode Decomposition." Sensors 20, no. 12 (June 15, 2020): 3373. http://dx.doi.org/10.3390/s20123373.
Повний текст джерелаZahid, Saadia, Fawad Hussain, Muhammad Rashid, Muhammad Haroon Yousaf, and Hafiz Adnan Habib. "Optimized Audio Classification and Segmentation Algorithm by Using Ensemble Methods." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/209814.
Повний текст джерелаHARTONO, PITOYO, and SHUJI HASHIMOTO. "EXTRACTING THE PRINCIPAL BEHAVIOR OF A PROBABILISTIC SUPERVISOR THROUGH NEURAL NETWORKS ENSEMBLE." International Journal of Neural Systems 12, no. 03n04 (June 2002): 291–301. http://dx.doi.org/10.1142/s0129065702001126.
Повний текст джерелаDey, Subhrajit, Rajdeep Bhattacharya, Friedhelm Schwenker, and Ram Sarkar. "Median Filter Aided CNN Based Image Denoising: An Ensemble Approach." Algorithms 14, no. 4 (March 28, 2021): 109. http://dx.doi.org/10.3390/a14040109.
Повний текст джерелаHu, Sile, Qiaosheng Zhang, Jing Wang, and Zhe Chen. "Real-time particle filtering and smoothing algorithms for detecting abrupt changes in neural ensemble spike activity." Journal of Neurophysiology 119, no. 4 (April 1, 2018): 1394–410. http://dx.doi.org/10.1152/jn.00684.2017.
Повний текст джерелаAhn, J., L. J. Kreeger, S. T. Lubejko, D. A. Butts, and K. M. MacLeod. "Heterogeneity of intrinsic biophysical properties among cochlear nucleus neurons improves the population coding of temporal information." Journal of Neurophysiology 111, no. 11 (June 1, 2014): 2320–31. http://dx.doi.org/10.1152/jn.00836.2013.
Повний текст джерелаAhn, Byeongyong, Gu Yong Park, Yoonsik Kim, and Nam Ik Cho. "A Self-ensemble Approach for Noise and Compression Artifacts Removal using Convolutional Neural Network." IEIE Transactions on Smart Processing & Computing 7, no. 4 (August 31, 2018): 296–304. http://dx.doi.org/10.5573/ieiespc.2018.7.4.296.
Повний текст джерелаWu, Jianfeng, Yongzhu Hua, Shengying Yang, Hongshuai Qin, and Huibin Qin. "Speech Enhancement Using Generative Adversarial Network by Distilling Knowledge from Statistical Method." Applied Sciences 9, no. 16 (August 18, 2019): 3396. http://dx.doi.org/10.3390/app9163396.
Повний текст джерелаMężyk, Miłosz, Michał Chamarczuk, and Michał Malinowski. "Automatic Image-Based Event Detection for Large-N Seismic Arrays Using a Convolutional Neural Network." Remote Sensing 13, no. 3 (January 23, 2021): 389. http://dx.doi.org/10.3390/rs13030389.
Повний текст джерелаMashhadi, Peyman Sheikholharam, Sławomir Nowaczyk, and Sepideh Pashami. "Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Life." Applied Sciences 10, no. 1 (December 20, 2019): 69. http://dx.doi.org/10.3390/app10010069.
Повний текст джерелаRajaraman, Sivaramakrishnan, Sudhir Sornapudi, Philip O. Alderson, Les R. Folio, and Sameer K. Antani. "Analyzing inter-reader variability affecting deep ensemble learning for COVID-19 detection in chest radiographs." PLOS ONE 15, no. 11 (November 12, 2020): e0242301. http://dx.doi.org/10.1371/journal.pone.0242301.
Повний текст джерелаKwon, Jihoon, and Nojun Kwak. "Radar Application: Stacking Multiple Classifiers for Human Walking Detection Using Micro-Doppler Signals." Applied Sciences 9, no. 17 (August 28, 2019): 3534. http://dx.doi.org/10.3390/app9173534.
Повний текст джерелаScheuerer, Michael, Matthew B. Switanek, Rochelle P. Worsnop, and Thomas M. Hamill. "Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California." Monthly Weather Review 148, no. 8 (July 31, 2020): 3489–506. http://dx.doi.org/10.1175/mwr-d-20-0096.1.
Повний текст джерелаFallahian, Milad, Faramarz Khoshnoudian, and Viviana Meruane. "Ensemble classification method for structural damage assessment under varying temperature." Structural Health Monitoring 17, no. 4 (July 7, 2017): 747–62. http://dx.doi.org/10.1177/1475921717717311.
Повний текст джерелаHou, Sizu, and Wei Guo. "Faulty Line Selection Based on Modified CEEMDAN Optimal Denoising Smooth Model and Duffing Oscillator for Un-Effectively Grounded System." Mathematical Problems in Engineering 2020 (April 6, 2020): 1–21. http://dx.doi.org/10.1155/2020/5761642.
Повний текст джерелаFishman, Yonatan I., and Mitchell Steinschneider. "Spectral Resolution of Monkey Primary Auditory Cortex (A1) Revealed With Two-Noise Masking." Journal of Neurophysiology 96, no. 3 (September 2006): 1105–15. http://dx.doi.org/10.1152/jn.00124.2006.
Повний текст джерелаKim, Sungil, Baehyun Min, Seoyoon Kwon, and Min-gon Chu. "History Matching of a Channelized Reservoir Using a Serial Denoising Autoencoder Integrated with ES-MDA." Geofluids 2019 (April 16, 2019): 1–22. http://dx.doi.org/10.1155/2019/3280961.
Повний текст джерелаTian, Juan, and Yingxiang Li. "Convolutional Neural Networks for Steganalysis via Transfer Learning." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 02 (October 24, 2018): 1959006. http://dx.doi.org/10.1142/s0218001419590067.
Повний текст джерелаJiang, Zhencun, Zhengxin Dong, Lingyang Wang, and Wenping Jiang. "Method for Diagnosis of Acute Lymphoblastic Leukemia Based on ViT-CNN Ensemble Model." Computational Intelligence and Neuroscience 2021 (August 21, 2021): 1–12. http://dx.doi.org/10.1155/2021/7529893.
Повний текст джерелаKnuth, Kevin H., Ankoor S. Shah, Wilson A. Truccolo, Mingzhou Ding, Steven L. Bressler, and Charles E. Schroeder. "Differentially Variable Component Analysis: Identifying Multiple Evoked Components Using Trial-to-Trial Variability." Journal of Neurophysiology 95, no. 5 (May 2006): 3257–76. http://dx.doi.org/10.1152/jn.00663.2005.
Повний текст джерелаMa, Jianpeng, Zhenghui Li, Chengwei Li, Liwei Zhan, and Guang-Zhu Zhang. "Rolling Bearing Fault Diagnosis Based on Refined Composite Multi-Scale Approximate Entropy and Optimized Probabilistic Neural Network." Entropy 23, no. 2 (February 23, 2021): 259. http://dx.doi.org/10.3390/e23020259.
Повний текст джерелаXie, Yingchun, Yucheng Xiao, Xuyan Liu, Guijie Liu, Weixiong Jiang, and Jin Qin. "Time-Frequency Distribution Map-Based Convolutional Neural Network (CNN) Model for Underwater Pipeline Leakage Detection Using Acoustic Signals." Sensors 20, no. 18 (September 4, 2020): 5040. http://dx.doi.org/10.3390/s20185040.
Повний текст джерелаAntoniades, Andreas, Loukianos Spyrou, David Martin-Lopez, Antonio Valentin, Gonzalo Alarcon, Saeid Sanei, and Clive Cheong Took. "Deep Neural Architectures for Mapping Scalp to Intracranial EEG." International Journal of Neural Systems 28, no. 08 (August 26, 2018): 1850009. http://dx.doi.org/10.1142/s0129065718500090.
Повний текст джерелаWang, Jing, Guigen Nie, Shengjun Gao, Shuguang Wu, Haiyang Li, and Xiaobing Ren. "Landslide Deformation Prediction Based on a GNSS Time Series Analysis and Recurrent Neural Network Model." Remote Sensing 13, no. 6 (March 10, 2021): 1055. http://dx.doi.org/10.3390/rs13061055.
Повний текст джерелаAltuve, Miguel, Paula Lizarazo, and Javier Villamizar. "Human activity recognition using improved complete ensemble EMD with adaptive noise and long short-term memory neural networks." Biocybernetics and Biomedical Engineering 40, no. 3 (July 2020): 901–9. http://dx.doi.org/10.1016/j.bbe.2020.04.007.
Повний текст джерелаCao, Yang, Xiaokang Zhou, and Ke Yan. "Deep Learning Neural Network Model for Tunnel Ground Surface Settlement Prediction Based on Sensor Data." Mathematical Problems in Engineering 2021 (August 27, 2021): 1–14. http://dx.doi.org/10.1155/2021/9488892.
Повний текст джерелаAkpudo, Ugochukwu Ejike, and Jang-Wook Hur. "A CEEMDAN-Assisted Deep Learning Model for the RUL Estimation of Solenoid Pumps." Electronics 10, no. 17 (August 25, 2021): 2054. http://dx.doi.org/10.3390/electronics10172054.
Повний текст джерелаRudd, Michael E., and Lawrence G. Brown. "Noise Adaptation in Integrate-and-Fire Neurons." Neural Computation 9, no. 5 (July 1, 1997): 1047–69. http://dx.doi.org/10.1162/neco.1997.9.5.1047.
Повний текст джерелаWu, Jiang, Feng Miu, and Taiyong Li. "Daily Crude Oil Price Forecasting Based on Improved CEEMDAN, SCA, and RVFL: A Case Study in WTI Oil Market." Energies 13, no. 7 (April 10, 2020): 1852. http://dx.doi.org/10.3390/en13071852.
Повний текст джерелаNti, Isaac Kofi, Adebayo Felix Adekoya, and Benjamin Asubam Weyori. "Efficient Stock-Market Prediction Using Ensemble Support Vector Machine." Open Computer Science 10, no. 1 (July 4, 2020): 153–63. http://dx.doi.org/10.1515/comp-2020-0199.
Повний текст джерелаMousavi, Asma Alsadat, Chunwei Zhang, Sami F. Masri, and Gholamreza Gholipour. "Structural Damage Localization and Quantification Based on a CEEMDAN Hilbert Transform Neural Network Approach: A Model Steel Truss Bridge Case Study." Sensors 20, no. 5 (February 26, 2020): 1271. http://dx.doi.org/10.3390/s20051271.
Повний текст джерелаGeorges, Hassana Maigary, Dong Wang, and Zhu Xiao. "GNSS/Low-Cost MEMS-INS Integration Using Variational Bayesian Adaptive Cubature Kalman Smoother and Ensemble Regularized ELM." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/682907.
Повний текст джерелаWu, Jiang, Tengfei Zhou, and Taiyong Li. "A Hybrid Approach Integrating Multiple ICEEMDANs, WOA, and RVFL Networks for Economic and Financial Time Series Forecasting." Complexity 2020 (October 22, 2020): 1–17. http://dx.doi.org/10.1155/2020/9318308.
Повний текст джерелаKrasnopolsky, Vladimir, Sudhir Nadiga, Avichal Mehra, Eric Bayler, and David Behringer. "Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations." Computational Intelligence and Neuroscience 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/6156513.
Повний текст джерелаOpitz, D., and R. Maclin. "Popular Ensemble Methods: An Empirical Study." Journal of Artificial Intelligence Research 11 (August 1, 1999): 169–98. http://dx.doi.org/10.1613/jair.614.
Повний текст джерелаHan, Te, Dongxiang Jiang, Qi Zhao, Lei Wang, and Kai Yin. "Comparison of random forest, artificial neural networks and support vector machine for intelligent diagnosis of rotating machinery." Transactions of the Institute of Measurement and Control 40, no. 8 (June 1, 2017): 2681–93. http://dx.doi.org/10.1177/0142331217708242.
Повний текст джерелаSaghi, Faramarz, and Mustafa Jahangoshai Rezaee. "An ensemble approach based on transformation functions for natural gas price forecasting considering optimal time delays." PeerJ Computer Science 7 (April 7, 2021): e409. http://dx.doi.org/10.7717/peerj-cs.409.
Повний текст джерелаSarmiento, Carlos, and Jesus Savage. "Comparison of Two Objects Classification Techniques using Hidden Markov Models and Convolutional Neural Networks." Informatics and Automation 19, no. 6 (December 11, 2020): 1222–54. http://dx.doi.org/10.15622/ia.2020.19.6.4.
Повний текст джерелаDeweese, Michael R., and Anthony M. Zador. "Shared and Private Variability in the Auditory Cortex." Journal of Neurophysiology 92, no. 3 (September 2004): 1840–55. http://dx.doi.org/10.1152/jn.00197.2004.
Повний текст джерелаЖарикова, Е. П., Я. Ю. Григорьев, and А. Л. Григорьева. "Application of neural networks for water area analysis." MORSKIE INTELLEKTUAL`NYE TEHNOLOGII), no. 2(52) (June 20, 2021): 129–33. http://dx.doi.org/10.37220/mit.2021.52.2.063.
Повний текст джерелаRedlich, A. Norman. "Redundancy Reduction as a Strategy for Unsupervised Learning." Neural Computation 5, no. 2 (March 1993): 289–304. http://dx.doi.org/10.1162/neco.1993.5.2.289.
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