Artículos de revistas sobre el tema "Perturbation-Based methods"
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Hongxing, Li. "Fuzzy clustering methods based on perturbation". Fuzzy Sets and Systems 33, n.º 3 (diciembre de 1989): 291–302. http://dx.doi.org/10.1016/0165-0114(89)90119-x.
Texto completoMartinelli, M., A. Dervieux, L. Hascoet, V. Pascual y A. Belme. "AD-based perturbation methods for uncertainties and errors". International Journal of Engineering Systems Modelling and Simulation 2, n.º 1/2 (2010): 65. http://dx.doi.org/10.1504/ijesms.2010.031872.
Texto completoSan-Juan, Juan Félix, Montserrat San-Martín, Iván Pérez y Rosario López. "Hybrid perturbation methods based on statistical time series models". Advances in Space Research 57, n.º 8 (abril de 2016): 1641–51. http://dx.doi.org/10.1016/j.asr.2015.05.025.
Texto completoChioua, Moncef, Bala Srinivasan, Michel Perrier y Martin Guay. "EFFECT OF EXCITATION FREQUENCY IN PERTURBATION-BASED EXTREMUM SEEKING METHODS". IFAC Proceedings Volumes 40, n.º 5 (2007): 123–28. http://dx.doi.org/10.3182/20070606-3-mx-2915.00019.
Texto completoIvanovs, Maksims, Roberts Kadikis y Kaspars Ozols. "Perturbation-based methods for explaining deep neural networks: A survey". Pattern Recognition Letters 150 (octubre de 2021): 228–34. http://dx.doi.org/10.1016/j.patrec.2021.06.030.
Texto completoLiu, Song-Tao y Yuesheng Xu. "Galerkin Methods Based on Hermite Splines for Singular Perturbation Problems". SIAM Journal on Numerical Analysis 43, n.º 6 (enero de 2006): 2607–23. http://dx.doi.org/10.1137/040607411.
Texto completoEl Mokhtari, Rachid, Jean-Marc Cadou y Michel Potier-Ferry. "A two grid algorithm based on perturbation and homotopy methods". Comptes Rendus Mécanique 330, n.º 12 (diciembre de 2002): 825–30. http://dx.doi.org/10.1016/s1631-0721(02)01548-6.
Texto completoZhang, Yale y J. Fraser Forbes. "Performance Analysis of Perturbation-Based Methods for Real-Time Optimization". Canadian Journal of Chemical Engineering 84, n.º 2 (19 de mayo de 2008): 209–18. http://dx.doi.org/10.1002/cjce.5450840208.
Texto completoLi, Lan, Yong Hui He y Bo Wang. "Comparison of Methods of Maximum Power Point Tracking of Photovoltaic Cells". Applied Mechanics and Materials 380-384 (agosto de 2013): 3362–65. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.3362.
Texto completoCha, Philip D. y Austin Shin. "Perturbation Methods for the Eigencharacteristics of Symmetric and Asymmetric Systems". Shock and Vibration 2018 (17 de octubre de 2018): 1–25. http://dx.doi.org/10.1155/2018/8609138.
Texto completoChen, Bilian, Yajun Xie y Changfeng Ma. "SOME HIGH ORDER ITERATIVE METHODS FOR NONLINEAR EQUATIONS BASED ON THE MODIFIED HOMOTOPY PERTURBATION METHODS". Asian-European Journal of Mathematics 03, n.º 03 (septiembre de 2010): 395–408. http://dx.doi.org/10.1142/s1793557110000349.
Texto completoLazovskaya, Tatiana, Galina Malykhina y Dmitry Tarkhov. "Physics-Based Neural Network Methods for Solving Parameterized Singular Perturbation Problem". Computation 9, n.º 9 (6 de septiembre de 2021): 97. http://dx.doi.org/10.3390/computation9090097.
Texto completoLanglands, T. A. M. y D. L. S. McElwain. "A modified Hertzian foil rolling model: approximations based on perturbation methods". International Journal of Mechanical Sciences 44, n.º 8 (agosto de 2002): 1715–30. http://dx.doi.org/10.1016/s0020-7403(02)00058-9.
Texto completoYang, Xiao-Dong, Ming Liu, Wei Zhang, Ying-Jing Qian y Roderick V. N. Melnik. "On the Perturbation Methods for Vibration Analysis of Linear Time-Varying Systems". International Journal of Applied Mechanics 08, n.º 03 (abril de 2016): 1650035. http://dx.doi.org/10.1142/s1758825116500356.
Texto completoParalič, Ján, Michal Kolárik, Zuzana Paraličová, Oliver Lohaj y Adam Jozefík. "Perturbation-Based Explainable AI for ECG Sensor Data". Applied Sciences 13, n.º 3 (31 de enero de 2023): 1805. http://dx.doi.org/10.3390/app13031805.
Texto completoJang, M., J. Choe y S. J. Kim. "Streamline-based Inversion Model Using Simulated Annealing Coupled with Geostatistical Perturbation Methods". Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 29, n.º 14 (31 de agosto de 2007): 1285–94. http://dx.doi.org/10.1080/15567030600820435.
Texto completoDjermoune, E. H. y M. Tomczak. "Perturbation Analysis of Subspace-Based Methods in Estimating a Damped Complex Exponential". IEEE Transactions on Signal Processing 57, n.º 11 (noviembre de 2009): 4558–63. http://dx.doi.org/10.1109/tsp.2009.2024030.
Texto completoLi, Mengyang, Fengguang Su, Ou Wu y Ji Zhang. "Logit Perturbation". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 2 (28 de junio de 2022): 1359–66. http://dx.doi.org/10.1609/aaai.v36i2.20024.
Texto completoMo, Wen Hui. "Dynamic Reliability Based on Perturbation Stochastic Finite Element". Applied Mechanics and Materials 155-156 (febrero de 2012): 47–50. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.47.
Texto completoLakshmi, M. Naga y Dr K. Sandhya Rani. "PRIVACY PRESERVING CLUSTERING BASED ON SINGULAR VALUE DECOMPOSITION AND GEOMETRIC DATA PERTURBATION". INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, n.º 3 (5 de agosto de 2013): 1427–33. http://dx.doi.org/10.24297/ijct.v10i3.3272.
Texto completoGrebenikov, E. A. "Concerning New Perturbation Methods in Solar System Dynamics". International Astronomical Union Colloquium 165 (1997): 399–404. http://dx.doi.org/10.1017/s0252921100046868.
Texto completoOuakad, Hassen M., Abdulrahman M. Alofi y Ali H. Nayfeh. "Dynamic Analysis of Multilayers Based MEMS Resonators". Mathematical Problems in Engineering 2017 (2017): 1–14. http://dx.doi.org/10.1155/2017/1262650.
Texto completoWang, Zhengguang. "Validation, Robustness, and Accuracy of Perturbation-Based Sensitivity Analysis Methods for Time-Series Deep Learning Models". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 21 (24 de marzo de 2024): 23768–70. http://dx.doi.org/10.1609/aaai.v38i21.30559.
Texto completoRatra, Ritu, Preeti Gulia y Nasib Singh Gill. "Performance analysis of perturbation-based privacy preserving techniques: an experimental perspective". International Journal of Electrical and Computer Engineering (IJECE) 13, n.º 5 (1 de octubre de 2023): 5273. http://dx.doi.org/10.11591/ijece.v13i5.pp5273-5281.
Texto completoZhang, Zhiwei, Xunzhang Gao, Shuowei Liu, Bowen Peng y Yufei Wang. "Energy-Based Adversarial Example Detection for SAR Images". Remote Sensing 14, n.º 20 (15 de octubre de 2022): 5168. http://dx.doi.org/10.3390/rs14205168.
Texto completoTaylor, Zoe, Gregory S. Walsh, Hannah Hawkins, Mario Inacio y Patrick Esser. "Perturbations during Gait: A Systematic Review of Methodologies and Outcomes". Sensors 22, n.º 15 (8 de agosto de 2022): 5927. http://dx.doi.org/10.3390/s22155927.
Texto completoPan, Christopher S., Sharon Chiou y Scott Hendricks. "The effect of drywall lifting method on workers' balance in a laboratory-based simulation". Occupational Ergonomics 3, n.º 4 (17 de noviembre de 2003): 235–49. http://dx.doi.org/10.3233/oer-2003-3405.
Texto completoDOUGLAS, JIM y SEONGJAI KIM. "IMPROVED ACCURACY FOR LOCALLY ONE-DIMENSIONAL METHODS FOR PARABOLIC EQUATIONS". Mathematical Models and Methods in Applied Sciences 11, n.º 09 (diciembre de 2001): 1563–79. http://dx.doi.org/10.1142/s0218202501001471.
Texto completoNing, W. y L. He. "Computation of Unsteady Flows Around Oscillating Blades Using Linear and Nonlinear Harmonic Euler Methods". Journal of Turbomachinery 120, n.º 3 (1 de julio de 1998): 508–14. http://dx.doi.org/10.1115/1.2841747.
Texto completoKrishnarayalu, M. S. "Singular perturbation methods for a class of initial and boundary value problems in multi-parameter classical digital control systems". ANZIAM Journal 46, n.º 1 (julio de 2004): 67–77. http://dx.doi.org/10.1017/s1446181100013675.
Texto completoMontazeri-Gh, Morteza y Ali Rasti. "Analyzing different numerical linearization methods for the dynamic model of a turbofan engine". Mechanics & Industry 20, n.º 3 (2019): 303. http://dx.doi.org/10.1051/meca/2019012.
Texto completoAsmolovskiy, Nikolay, Anton Tkachuk y Manfred Bischoff. "Numerical approaches to stability analysis of cylindrical composite shells based on load imperfections". Engineering Computations 32, n.º 2 (20 de abril de 2015): 498–518. http://dx.doi.org/10.1108/ec-10-2013-0246.
Texto completoWang, Xiangyu, Song Cen y Chenfeng Li. "Generalized Neumann Expansion and Its Application in Stochastic Finite Element Methods". Mathematical Problems in Engineering 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/325025.
Texto completoKhidir, Ahmed A. "A New Spectral-Homotopy Perturbation Method and Its Application to Jeffery-Hamel Nanofluid Flow with High Magnetic Field". Journal of Computational Methods in Physics 2013 (30 de diciembre de 2013): 1–10. http://dx.doi.org/10.1155/2013/939143.
Texto completoFerreira, Rafael N., Nuno Ferrete Ribeiro, Joana Figueiredo y Cristina P. Santos. "Provoking Artificial Slips and Trips towards Perturbation-Based Balance Training: A Narrative Review". Sensors 22, n.º 23 (28 de noviembre de 2022): 9254. http://dx.doi.org/10.3390/s22239254.
Texto completoDeng, Zhiyang, Shilin Wei, Tao Chen, Xiaochun Song y Yihua Kang. "A wall-thinning measuring method based on magnetic permeability perturbation". International Journal of Applied Electromagnetics and Mechanics 64, n.º 1-4 (10 de diciembre de 2020): 921–30. http://dx.doi.org/10.3233/jae-209406.
Texto completoGottu Mukkula, Anwesh Reddy y Sebastian Engell. "Handling Measurement Delay in Iterative Real-Time Optimization Methods". Processes 9, n.º 10 (11 de octubre de 2021): 1800. http://dx.doi.org/10.3390/pr9101800.
Texto completoJeong, Soyeong, Pilwon Kim y Chang Hyeong Lee. "Perturbation and Truncation of Probability Generating Function Methods for Stiff Chemical Reactions". Journal of Applied Mathematics 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/864238.
Texto completoDuan, Jiale, Linyao Qiu, Guangjun He, Ling Zhao, Zhenshi Zhang y Haifeng Li. "A Region-Adaptive Local Perturbation-Based Method for Generating Adversarial Examples in Synthetic Aperture Radar Object Detection". Remote Sensing 16, n.º 6 (12 de marzo de 2024): 997. http://dx.doi.org/10.3390/rs16060997.
Texto completoChioua, Moncef, Bala Srinivasan, Michel Perrier y Martin Guay. "IMPROVING CONVERGENCE OF PERTURBATION-BASED EXTREMUM SEEKING METHODS FOR A CLASS OF DIFFERENTIALLY FLAT SYSTEMS". IFAC Proceedings Volumes 40, n.º 12 (2007): 270–75. http://dx.doi.org/10.3182/20070822-3-za-2920.00045.
Texto completoChiba, Hayato. "Extension and Unification of Singular Perturbation Methods for ODEs Based on the Renormalization Group Method". SIAM Journal on Applied Dynamical Systems 8, n.º 3 (enero de 2009): 1066–115. http://dx.doi.org/10.1137/090745957.
Texto completoGauthier, Cindy, Katherine Chan, Kei Masani y Kristin E. Musselman. "Perturbation-Based Training in Combination with Functional Electrical Stimulation: A Promising Mixed-methods Case Study". Archives of Physical Medicine and Rehabilitation 101, n.º 11 (noviembre de 2020): e26. http://dx.doi.org/10.1016/j.apmr.2020.09.072.
Texto completoZhang, Xinyan, Jinzhong Min y Tianjie Wu. "A study of ensemble-sensitivity-based initial condition perturbation methods for convection-permitting ensemble forecasts". Atmospheric Research 234 (abril de 2020): 104741. http://dx.doi.org/10.1016/j.atmosres.2019.104741.
Texto completoIshimaru, Akira, John D. Rockway y Yasuo Kuga. "Rough surface Green's function based on the first-order modified perturbation and smoothed diagram methods". Waves in Random Media 10, n.º 1 (enero de 2000): 17–31. http://dx.doi.org/10.1088/0959-7174/10/1/302.
Texto completoZhang, Qinglong, Lu Rao y Yubin Yang. "A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de mayo de 2021): 3377–84. http://dx.doi.org/10.1609/aaai.v35i4.16450.
Texto completoChai, Yu y Dong Mei Shang. "The Improvement of Maximum Power Point Tracker Algorithm in Photovoltaic Power System". Applied Mechanics and Materials 157-158 (febrero de 2012): 377–80. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.377.
Texto completoYin, Hui, Dejie Yu, Shengwen Yin y Baizhan Xia. "Efficient Midfrequency Analysis of Built-Up Structure Systems with Interval Parameters". Shock and Vibration 2015 (2015): 1–18. http://dx.doi.org/10.1155/2015/712428.
Texto completoMendonça, Antônio Marcos y JoséPaulo Bonatti. "Experiments with EOF-Based Perturbation Methods and Their Impact on the CPTEC/INPE Ensemble Prediction System". Monthly Weather Review 137, n.º 4 (1 de abril de 2009): 1438–59. http://dx.doi.org/10.1175/2008mwr2581.1.
Texto completoSanapala, Lavanya y Lakshmeeswari Gondi. "Mitigating Gradient-Based Data Poisoning Attacks on Machine Learning Models: A Statistical Detection Method". Indian Journal Of Science And Technology 17, n.º 21 (25 de mayo de 2024): 2218–31. http://dx.doi.org/10.17485/ijst/v17i21.1035.
Texto completoANDRIANOV, IGOR VASIL'EVICH, VICTOR ISAAKOVICH OLEVS'KYY y JAN AWREJCEWICZ. "ANALYTICAL PERTURBATION METHOD FOR CALCULATION OF SHELLS BASED ON 2D PADÉ APPROXIMANTS". International Journal of Structural Stability and Dynamics 13, n.º 07 (23 de agosto de 2013): 1340003. http://dx.doi.org/10.1142/s0219455413400038.
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