Gotowe bibliografie tematyczne / Catastrophe de gradient

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Gotowa bibliografia na temat „Catastrophe de gradient”

Autor: Grafiati

Data publikacji: 19 października 2024

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Catastrophe de gradient"

LeBrasseur, Nicole. "Catastrophe gradient drives anaphase B." Journal of Cell Biology 177, no. 6 (2007): 944a. http://dx.doi.org/10.1083/jcb.1776iti5.

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Zakharov, S. V., and A. M. Il'in. "From weak discontinuity to gradient catastrophe." Sbornik: Mathematics 192, no. 10 (2001): 1417–33. http://dx.doi.org/10.1070/sm2001v192n10abeh000599.

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Konopelchenko, B. G., and G. Ortenzi. "Gradient catastrophe and flutter in vortex filament dynamics." Journal of Physics A: Mathematical and Theoretical 44, no. 43 (2011): 432001. http://dx.doi.org/10.1088/1751-8113/44/43/432001.

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Masoero, Davide, and Andrea Raimondo. "Semiclassical Limit for Generalized KdV Equations Before the Gradient Catastrophe." Letters in Mathematical Physics 103, no. 5 (2013): 559–83. http://dx.doi.org/10.1007/s11005-013-0605-x.

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Radko, Timour. "Applicability and failure of the flux-gradient laws in double-diffusive convection." Journal of Fluid Mechanics 750 (May 30, 2014): 33–72. http://dx.doi.org/10.1017/jfm.2014.244.

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AbstractDouble-diffusive flux-gradient laws are commonly used to describe the development of large-scale structures driven by salt fingers – thermohaline staircases, collective instability waves and intrusions. The flux-gradient model assumes that the vertical transport is uniquely determined by the local background temperature and salinity gradients. While flux-gradient laws adequately capture mixing characteristics on scales that greatly exceed those of primary double-diffusive instabilities, their accuracy rapidly deteriorates when the scale separation between primary and secondary instabil

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Konopelchenko, B. G., and G. Ortenzi. "Quasi-Classical Approximation in Vortex Filament Dynamics. Integrable Systems, Gradient Catastrophe, and Flutter." Studies in Applied Mathematics 130, no. 2 (2012): 167–99. http://dx.doi.org/10.1111/j.1467-9590.2012.00563.x.

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Zakharov, S. V. "Asymptotic solution of a Cauchy problem in a neighbourhood of a gradient catastrophe." Sbornik: Mathematics 197, no. 6 (2006): 835–51. http://dx.doi.org/10.1070/sm2006v197n06abeh003780.

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Aksenov, A. V., and K. P. Druzhkov. "Construction of Exact Solutions of the System of One-Dimensional Gas Dynamics Equations without Gradient Catastrophe." Известия Российской академии наук. Механика жидкости и газа, no. 1 (January 1, 2023): 135–43. http://dx.doi.org/10.31857/s0568528122600734.

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The system of equations that describes one-dimensional polytropic gas flows is considered. The invariants up to the second order of characteristics of the considered system of equations are classified. The method of reducing the Cauchy problems to systems of ordinary differential equations is proposed. Examples of the solutions without gradient catastrophe are constructed using invariants of characteristics supplementary to the Riemann invariants.

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Kolesnykov, A. V., S. V. Semenova, and О. О. Makovetska. "SIMULATION OF COMPOSITES STRUCTURE FORMATION PROCESSES USING THE METHODS OF THE CATASTROPHE THEORY." Modern construction and architecture, no. 6 (December 25, 2023): 90–98. http://dx.doi.org/10.31650/2786-6696-2023-6-90-98.

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The paper examines the possibility to model the structure formation processes in binder materials using some methods of catastrophe theory. Events at the level of coexistence and interaction of macroscopic and microscopic phenomena are analyzed. The dynamics of transformations at this level of material organization is considered using the method of structural potential, similar to the thermodynamic one, with the possibility of its empirical identification based on the processing of microscopic images. The transition to the potential functions of the theory of catastrophes is carried out by mea

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Beisenbi, М. А., and Zh O. Basheyeva. "Solving output control problems using Lyapunov gradient-velocity vector function." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2019): 2874. http://dx.doi.org/10.11591/ijece.v9i4.pp2874-2879.

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This paper describes a controller and observer parameter definition approach in one input-one output (closed-loop) control systems using Lyapunov gradient-velocity vector function. Construction of the vector function is based on the gradient nature of the control systems and the parity of the vector functions with the potential function from the theory of catastrophe. Investigation of the closed-loop control system’s stability and solution of the problem of controller (determining the coefficient of magnitude matrix) and observer (calculation of the matrix elements of the observing equipment)

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Rozprawy doktorskie na temat "Catastrophe de gradient"

Demiquel, Antoine. "Control of nonlinear modulated waves in flexible mechanical metamaterials." Electronic Thesis or Diss., Le Mans, 2024. https://cyberdoc-int.univ-lemans.fr/Theses/2024/2024LEMA1015.pdf.

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Ce travail est consacré à l'étude des ondes modulées se propageant le long de métamatériaux mécaniques flexibles nonlinéaires (FlexMM). Ces structures sont des matériaux architecturés constitués d'éléments souples très déformables connectés à des éléments plus rigides. Leur capacité à subir de grandes déformations locales favorise l'apparition de phénomènes d'ondes non linéaires. En utilisant une approche par éléments discrets, nous formulons des équations discrètes non linéaires qui décrivent les déplacements longitudinaux et rotationnels de chaque cellule unitaire et leur couplage mutuel. Un

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Części książek na temat "Catastrophe de gradient"

Knobel, Roger. "Gradient catastrophes and breaking times." In The Student Mathematical Library. American Mathematical Society, 1999. http://dx.doi.org/10.1090/stml/003/18.

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Giannini, Federico, Giacomo Ziffer, and Emanuele Della Valle. "cPNN: Continuous Progressive Neural Networks for Evolving Streaming Time Series." In Advances in Knowledge Discovery and Data Mining. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33383-5_26.

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AbstractDealing with an unbounded data stream involves overcoming the assumption that data is identically distributed and independent. A data stream can, in fact, exhibit temporal dependencies (i.e., be a time series), and data can change distribution over time (concept drift). The two problems are deeply discussed, and existing solutions address them separately: a joint solution is absent. In addition, learning multiple concepts implies remembering the past (a.k.a. avoiding catastrophic forgetting in Neural Networks’ terminology). This work proposes Continuous Progressive Neural Networks (cPN

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Sun, Jian, Stefan Löhnert, and Tengfei Lyu. "Prediction of Fatigue Lifetime Using a Wavelet Transformation Induced Multi-time Scaling Method and Xfem." In Regeneration of Complex Capital Goods. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-51395-4_16.

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AbstractFatigue lifetime prediction due to dynamic crack growth is a significant issue for design and manufacture of engineering components. Damage accumulation in a material on the micro-scale is a main physical mechanism governing crack initiation. For high-cycle fatigue, the number of loading cycles leading to catastrophic fatigue failure can be of the order of millions. The simulation of such processes would be extremely expensive and time-consuming using conventional single time scale methods. In order to overcome this challenging requirement, a wavelet-transformation based multi-time sca

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Messaoudi, S., and A. Al Shehri. "Gradient Catastrophe in Heat Propagation with second Sound." In Lecture Notes in Pure and Applied Mathematics. CRC Press, 2005. http://dx.doi.org/10.1201/9781420026511.pt3.

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Camassa, Roberto. "Global gradient catastrophe in a shallow water model: evolution unfolding by stretched coordinates." In Nonlinear Systems and Their Remarkable Mathematical Structures. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429263743-15.

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Bader, Richard F. W. "Mathematical Models Of Structural Change." In Atoms in Molecules. Oxford University PressOxford, 1990. http://dx.doi.org/10.1093/oso/9780198551683.003.0004.

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Abstract The definition of structure obtained through the application of the equivalence relation to the gradient vector fields of the charge density leads to the partitioning of nuclear configuration space into a finite number of structural regions. The boundaries of these regions denote the configurations of the unstable structures. This information enables one to construct a system’s structure diagram, a diagram which details all of its stable structures and all of the unstable structures that are transitional in form between those of neighbouring structural regimes. The collection of the s

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Hallam, Tony. "Oxygen deficiency in the oceans." In Catastrophes and Lesser Calamities. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780198524977.003.0009.

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We are all very much aware that oxygen deprivation leads quickly to death, and this is true not just of our own species but of virtually the whole organic world. There are indeed very few exceptions, such as the anaerobic bacteria that derive their energy from reducing sulphates to sulphides, which flourish in the absence of free oxygen. (As these organisms do not leave a fossil record they provide no clues for the geological detective.) Today the atmosphere never lacks oxygen, except in artificially enclosed conditions, but oxygen deficiency can be lethal in certain marine environments and th

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"Community Ecology of Stream Fishes: Concepts, Approaches, and Techniques." In Community Ecology of Stream Fishes: Concepts, Approaches, and Techniques, edited by Gary D. Grossman and John L. Sabo. American Fisheries Society, 2010. http://dx.doi.org/10.47886/9781934874141.ch20.

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<em>Abstract.—</em>Stochastic dynamics are central to theory, data analysis, and understanding in the fields of hydrology and population ecology. More importantly, hydrologic variability has been identified as a key process affecting biodiversity and coexistence in stream fish assemblages. Until recently, however, we have lacked tools by which hydrologic variability can be directly linked to measures of community stability. Herein, we show how a modification of Fourier analysis of daily average discharge data can be used to quantify aspects of hydrologic variability for three refer

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Newnham, Robert E. "Tensors and physical properties." In Properties of Materials. Oxford University Press, 2004. http://dx.doi.org/10.1093/oso/9780198520757.003.0007.

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In this chapter we introduce the tensor description of physical properties along with Neumann’s Principle relating symmetry to physical properties. As pointed out in the introduction, many different types of anisotropic properties are described in this book, but all have one thing in common: a physical property is a relationship between two measured quantities. Four examples are illustrated in Fig. 5.1. Elasticity is one of the standard equilibrium properties treated in crystal physics courses. The elastic compliance coefficients relate mechanical strain, the dependent variable, to mechanical

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Nagy, Laszlo, and Georg Grabherr. "The alpine environment: energy and climate." In The Biology of Alpine Habitats. Oxford University PressOxford, 2009. http://dx.doi.org/10.1093/oso/9780198567035.003.0004.

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Abstract Radiation and thermal energy in alpine environments is as important for life conditions as in any other life zone, and in addition, mountain environments are characterized by a high kinetic potential, or relief energy. The complex alpine landscape results in a distribution pattern in direct incident solar irradiance that creates a broad range of thermal conditions within the alpine zone. Relief energy manifests in high-energy al-pine mass movement events. These either develop over a long time period (non-catastrophic events) and form permanent landscape features, such as scree, rock g

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Streszczenia konferencji na temat "Catastrophe de gradient"

Scott, Colin. "Crack Stability Criteria and Its Implications on Crack Growth Rates, Mechanisms and Crack Geometry." In CORROSION 2013. NACE International, 2013. https://doi.org/10.5006/c2013-02772.

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Abstract It is well established that environmentally assisted cracking occurs in various material and environment combinations. The cracking can be either "corrosion" based, such as those involving anodic dissolution mechanisms, or "fracture" based, such as those involving hydrogen embrittlement. For the fracture mechanisms, one can consider the theoretical criteria for crack stability based on linear elastic fracture mechanics. The criteria can be used to infer the material toughness and the toughness gradient at a propagating crack tip. These have implications on the mechanisms and kinetics

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Elyas, Mohamed, Sherif Aly, Uche Achinanya, et al. "Well Integrity Catastrophe Avoided Through Advanced Well Integrity and Reservoir Monitoring Analysis, a Case Study." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/208055-ms.

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Abstract Well integrity is one of the main challenges that are facing operators, finding the source of the well problem and isolating it before a catastrophic event occurs. This study demonstrates the power of integrating different reservoir monitoring and well integrity logs to evaluate well integrity, identify the underlying cause of the potential failure, and providing a potential corrective solution. Recently, some Injector/producer wells reported migration of injection fluids/gas into shallower sections, charging these formations and increasing the risk of compromised well integrity. Char

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Luo, Kangyang, Xiang Li, Yunshi Lan, and Ming Gao. "GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting." In 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2023. http://dx.doi.org/10.1109/cvpr52729.2023.00361.

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Yin, Hao, He Xu, Yuhan Zhao, and Feng Sun. "Fault Diagnosis of Control Valve Based on Fusion of Deep Learning and Elastic Weight Consolidation." In BATH/ASME 2022 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/fpmc2022-89359.

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Abstract Deep neural network learning is a commonly used method for fault diagnosis of the control valve. However, the catastrophic forgetting problem of deep learning in multi-task affects the fault diagnosis accuracy. Moreover, the traditional training model can be improved by using parameter constraint control or adding a few parameters, but it has many limitations. Therefore, this paper proposed a fusion of elastic weight consolidation algorithm and residual shrinkage network method, sharing common feature layers. According to the weight of the same or similar parameters of the previous ta

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Rios, Amanda, and Laurent Itti. "Closed-Loop Memory GAN for Continual Learning." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/462.

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Sequential learning of tasks using gradient descent leads to an unremitting decline in the accuracy of tasks for which training data is no longer available, termed catastrophic forgetting. Generative models have been explored as a means to approximate the distribution of old tasks and bypass storage of real data. Here we propose a cumulative closed-loop memory replay GAN (CloGAN) provided with external regularization by a small memory unit selected for maximum sample diversity. We evaluate incremental class learning using a notoriously hard paradigm, single-headed learning, in which each task

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Patil, Sangram, Aum Patil, Vishwadeep Handikherkar, Sumit Desai, Vikas M. Phalle, and Faruk S. Kazi. "Remaining Useful Life (RUL) Prediction of Rolling Element Bearing Using Random Forest and Gradient Boosting Technique." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87623.

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Rolling element bearings are very important and highly utilized in many industries. Their catastrophic failure due to fluctuating working conditions leads to unscheduled breakdown and increases accidental economical losses. Thus these issues have triggered a need for reliable and automatic prognostics methodology which will prevent a potentially expensive maintenance program. Accordingly, Remaining Useful Life (RUL) prediction based on artificial intelligence is an attractive methodology for several researchers. In this study, data-driven condition monitoring approach is implemented for predic

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Bui, Huy, Nelly De Nicolias, Rebecca Nye, and John Estrada. "Machine Learning Applications to Improve Pore Pressure Prediction in Hazardous Drilling Environments." In Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/31781-ms.

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Abstract Pore pressure analysis can be imperative while drilling, especially in certain offshore environments where abnormal pore pressures can cause serious problems such as fluid influx, kicks, and blowouts. In order to avoid such events, the prediction in real-time, or preferably ahead of time, is required. These events can have a catastrophic impact on operations and the safety of the entire platform. Real-time wellbore logs can be used to assist in the prediction of pore pressure, however, due to the high cost of downhole data acquisition and risks associated with a tool getting stuck or

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Wang, Shuai, Yibing Zhan, Yong Luo, et al. "Joint Input and Output Coordination for Class-Incremental Learning." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/565.

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Incremental learning is nontrivial due to severe catastrophic forgetting. Although storing a small amount of data on old tasks during incremental learning is a feasible solution, current strategies still do not 1) adequately address the class bias problem, and 2) alleviate the mutual interference between new and old tasks, and 3) consider the problem of class bias within tasks. In light of the above issues, we analyze the cause of class bias in incremental learning, as well as the drawbacks of existing approaches, and propose a joint input and output coordination (JIOC) mechanism to address th

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Li, Siyi, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, and Shaojie Shen. "Learning Unmanned Aerial Vehicle Control for Autonomous Target Following." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/685.

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While deep reinforcement learning (RL) methods have achieved unprecedented successes in a range of challenging problems, their applicability has been mainly limited to simulation or game domains due to the high sample complexity of the trial-and-error learning process. However, real-world robotic applications often need a data-efficient learning process with safety-critical constraints. In this paper, we consider the challenging problem of learning unmanned aerial vehicle (UAV) control for tracking a moving target. To acquire a strategy that combines perception and control, we represent the po

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