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Relevant bibliographies by topics / Non-linear and chaotic dynamic

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Academic literature on the topic 'Non-linear and chaotic dynamic'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Non-linear and chaotic dynamic"

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Li, B.-B., and Z.-F. Yuan. "Non-linear and chaos characteristics of heart sound time series." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 222, no. 3 (2008): 265–72. http://dx.doi.org/10.1243/09544119jeim331.

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Analysis of chaotic time series is common in many fields of science and engineering. It arises primarily from massive interactions between the many different parts of a non-linear system or in non-linear physical phenomena that are intrinsically complex. It is important to analyse the time series of these non-linear dynamic systems based on chaos theory. In recent years, many researchers on heart dynamics have demonstrated that chaos really exists in heart movements. In this study the non-linear and chaos characteristics are investigated and the fractal dimensions (FDs) and largest Lyapunov ex

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Xiong, Shiqi, and Weiwei Song. "Dynamic Analysis of A Three Dimension Chaotic System." Transactions on Engineering and Technology Research 1 (December 11, 2023): 67–72. http://dx.doi.org/10.62051/fyrev934.

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Memristor is a newly realized physical element, and it is a non-linear circuit element with memory function. We constructed a new three-dimensional chaotic system is constructed which contains four parameters and five non-linear terms. The system is analyzed by nonlinear dynamic analysis methods such as theoretical deduction analysis, numerical simulation, lyapunov exponent spectrum, and bifurcation diagram. The dynamic behavior of the system. This paper proposes a new three-dimensional chaotic system. The system contains four parameters, and each equation contains a non-linear product term. B

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Panas, Epaminondas, and Vassilia Ninni. "Are oil markets chaotic? A non-linear dynamic analysis." Energy Economics 22, no. 5 (2000): 549–68. http://dx.doi.org/10.1016/s0140-9883(00)00049-9.

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Gangopadhy, Partha. "Chaotic Discrimination and Non-Linear Dynamics." American Journal of Applied Sciences 2, no. 1 (2005): 440–42. http://dx.doi.org/10.3844/ajassp.2005.440.442.

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Tian, Anhong, Chengbiao Fu, Her-Terng Yau, Xiao-Yi Su, and Heigang Xiong. "Soil Salinization Level Monitoring and Classifying by Mixed Chaotic Systems." Remote Sensing 13, no. 19 (2021): 3819. http://dx.doi.org/10.3390/rs13193819.

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Soil salinization process is a complex non-linear dynamic evolution. To classify a system with this type of non-linear characteristic, this study proposed a mixed master/slave chaotic system based on Chua’s circuit and a fractional-order Chen-Lee chaotic system to classify soil salinization level. The subject is the soil in Xinjiang with different levels of human interference. A fractional-order Chen-Lee chaotic system was constructed, and the spectral signal processed by the Chua’s non-linear circuit was substituted into the master/slave chaotic system. The chaotic dynamic errors with differe

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Rosas-Jaimes, Oscar A., Luis Alberto Quezada Téllez, and Guillermo Fernández Anaya. "Polynomial Approach and Non-linear Analysis for a Traffic Fundamental Diagram." PROMET - Traffic&Transportation 28, no. 4 (2016): 321–29. http://dx.doi.org/10.7307/ptt.v28i4.1965.

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Vehicular traffic can be modelled as a dynamic discrete form. As in many dynamic systems, the parameters modelling traffic can produce a number of different trajectories or orbits, and it is possible to depict different flow situations, including chaotic ones. In this paper, an approach to the wellknown density-flow fundamental diagram is suggested, using an analytical polynomial technique, in which coefficients are taken from significant values acting as the parameters of the traffic model. Depending on the values of these parameters, it can be seen how the traffic flow changes from stable en

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Ng, C. F. "Testing Techniques for Chaotic Vibration of Buckled Aircraft Structures." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 210, no. 3 (1996): 281–90. http://dx.doi.org/10.1243/pime_proc_1996_210_371_02.

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A simple model of non-linear and chaotic dynamic behaviour of buckled plates is presented. Special procedures are described for setting up the tests of flat and buckled plates with vibrations of large amplitude. The difficulties of measuring chaotic motion include the problems in designing the clamping fixtures, controlling the excitation and analysing the results. Case studies of tests with shaker direct attachment, base excitation, and acoustic excitation are used to illustrate the procedures and ways to solve the various problems. The important non-linear dynamic characteristics of curved p

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Tjurin, A. V., V. G. Shevchuk, and I. I. Bilan. "NON-LINEAR ANALYSIS OF CHAOTIC SELF-OSCILLATIONS IN BACKWARD-WAVE TUBE." Photoelectronics, no. 30 (August 21, 2022): 140–45. http://dx.doi.org/10.18524/0235-2435.2021.30.262892.

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The paper presents the results of the analysis and modelling of topological and dynamic invariants for the regimes of chaotic self-oscillations in the backward-wave oscillator, in particular, the analysis of chaotic time series for the amplitude of the output signal, which is the solution of the equations of the non-stationary nonlinear theory for the O-type backward-wave oscillator (without taking into account space charge, relativistic effects, energy losses, etc.). The main attention is paid to the calculation and analysis of the spectrum of Lyapunov exponents based on the Sano-Savada algor

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Ribeiro, M. A., J. M. Balthazar, H. H. Daum, and A. M. Tusset. "Dynamical behaviour and Control of a Magnetic structure, composed by a Shape Memory spring driven by a DC motor with limited power supply to harvesting energy." Journal of Physics: Conference Series 2647, no. 25 (2024): 252013. http://dx.doi.org/10.1088/1742-6596/2647/25/252013.

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Abstract In this work, we explore a non-linear dynamic mathematical model containing Shape Memory Alloy (SMA) and a non-ideal engine for energy production. However, numerical analyzes of the device showed chaotic behavior for a given set of parameters. Thus, we used the classical tools of non-linear dynamics (Lyapunov Maximum Exponent, bifurcation diagrams, phase maps, and Poincaré maps) that corroborated to determine the regions of chaos. However, to produce energy, the chaotic behavior makes the production of unpredictable electric current that compromises the operation of the device. Theref

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Cerutti, S., S. Guzzetti, R. Parola, and M. G. Signorini. "Non-Linear Dynamics of Cardiovascular Variability Signals." Methods of Information in Medicine 33, no. 01 (1994): 81–84. http://dx.doi.org/10.1055/s-0038-1634981.

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Abstract:Long-term regulation of beat-to-beat variability involves several different kinds of controls. A linear approach performed by parametric models enhances the short-term regulation of the autonomic nervous system. Some non-linear long-term regulation can be assessed by the chaotic deterministic approach applied to the beat-to-beat variability of the discrete RR-interval series, extracted from the ECG. For chaotic deterministic systems, trajectories of the state vector describe a strange attractor characterized by a fractal of dimension D. Signals are supposed to be generated by a determ

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Dissertations / Theses on the topic "Non-linear and chaotic dynamic"

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Tice, Julian H. "Using non-linear/chaotic dynamics for interest rate determination." Thesis, Online version, 1998. http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.310826.

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Outa, Roberto. "Supressão do movimento caótico de um rotor dinâmico utilizando o controle linear ótimo." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/152241.

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Submitted by ROBERTO OUTA null (roberto.outa@gmail.com) on 2017-11-23T13:24:39Z No. of bitstreams: 1 Tese Doutorado Roberto Outa 23_11_2017.pdf: 8826970 bytes, checksum: 2d87ce6b0e50b1304328308f0df4e3bb (MD5)<br>Submitted by ROBERTO Outa (roberto.outa@gmail.com) on 2017-11-23T13:34:43Z No. of bitstreams: 1 Tese Doutorado Roberto Outa 23_11_2017.pdf: 8826970 bytes, checksum: 2d87ce6b0e50b1304328308f0df4e3bb (MD5)<br>Submitted by ROBERTO OUTA (roberto.outa@gmail.com) on 2017-11-23T17:24:54Z No. of bitstreams: 1 Tese Doutorado Roberto Outa 23_11_2017.pdf: 8826970 bytes, checksum: 2d87ce6b0e

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Bolla, Maira Rosine. "Dinamica não-linear de objetos no espaço, excitados pelo potencial de gravidade." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/263225.

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Orientadores: Jose Manoel Balthazar, Helder Anibal Hermini<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica<br>Made available in DSpace on 2018-08-05T09:56:56Z (GMT). No. of bitstreams: 1 Bolla_MairaRosine_M.pdf: 1168474 bytes, checksum: 0fac8753156d18f561b1aeef6a8a6210 (MD5) Previous issue date: 2005<br>Resumo: Este trabalho consiste de duas partes, na primeira faremos o estudo da dinâmica de uma espaçonave de dupla rotação axial, modelada por um sistema mecânico simples, constituído de um rotor desbalanceado atachado num suporte elástico e gov

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JÃnior, JosÃ Maria Pires de Menezes. "Redes neurais dinÃmicas para prediÃÃo e modelagem nÃo-linear de sÃries temporais." Universidade Federal do CearÃ, 2006. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=2090.

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Neste trabalho, redes neurais dinÃmicas sÃo avaliadas como modelos nÃo-lineares eficientes para prediÃÃo de sÃries temporais complexas. Entre as arquiteturas avaliadas estÃo as redes FTDNN, Elman e NARX. A capacidade preditiva destas redes sÃo testadas em tarefas de prediÃÃo de um-passo-adiante e mÃltiplos-passos-adiante. Para este fim, sÃo usadas as seguintes sÃries temporais: sÃrie laser caÃtico, sÃrie caÃtica Mackey-Glass, alÃm de sÃries de trÃfego de rede de computadores com caracterÃsticas auto-similares. O uso da rede NARX em prediÃÃo de sÃries temporais Ã uma contribuiÃÃo desta disserta

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Li, Erbao. "Décodeurs Haute Performance et Faible Complexité pour les codes LDPC Binaires et Non-Binaires." Phd thesis, Université de Cergy Pontoise, 2012. http://tel.archives-ouvertes.fr/tel-00806192.

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Cette thèse se consacre à l'étude de décodeurs itératifs, pour des codes correcteurd'erreurs binaires et non-binaires à faible densité (LDPC). Notre objectif est de modéliserdes décodeurs de complexité faibles et de faible latence tout en garantissantde bonne performances dans la région des très faibles taux d'erreur (error floor).Dans la première partie de cette thèse, nous étudions des décodeurs itératifssur des alphabets finis (Finite Alphabet iterative decoders, FAIDs) qui ont étérécemment proposés dans la littérature. En utilisant un grand nombre de décodeursFAIDs, nous proposons un nouve

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Ing, James. "Near grazing dynamics of piecewise linear oscillators." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources, 2008. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=24711.

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Ngai, Stuart. "Dynamic measurements of non-linear adsorption." Thesis, McGill University, 1988. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=61968.

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Evans, Allan Kenneth. "Foundations of non-equilibrium statistical mechanics." Thesis, University of Cambridge, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389831.

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Iketubosin, P. P. "Studies on non-linear dynamic process monitoring." Thesis, Cranfield University, 2011. http://dspace.lib.cranfield.ac.uk/handle/1826/7455.

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Owing to the numerous benefits of process monitoring, the subject has attracted a lot of attention in the last two decades. Process monitoring is an art of identifying abnormal deviations in a process from the normal operating condition using various techniques. Generally, the development of these monitoring techniques is geared towards applying these techniques to industrial processes. In addition, most industrial processes are dynamic and non-linear in nature. Therefore, in the development of the monitoring algorithms, the dynamic as well as the non-linear properties of the plant should be t

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Zhou, Yimin. "Fault identificaiton in non-linear dynamic systems." Thesis, University of Oxford, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494397.

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A fuzzy relational sliding mode observer (FRSMO) and proportional integral observer (FRPIO) are proposed to estimate the magnitude of slowly evolving faults in information-poor, i.e., difficult to model and non-linear systems. Where there is no fault in the system, the mismatch between the actual output and the model output can be shown to be zero. When the fault occurs in the system, the error is not zero, which is called a residual and can be used to diagnose the fault. In the fuzzy PI observer, the size of the fault can be obtained from the error passing the PI feedback compensation. In the

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Books on the topic "Non-linear and chaotic dynamic"

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Piórek, Michał. Analysis of Chaotic Behavior in Non-linear Dynamical Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-94887-4.

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Gilbert, Abraham-Frois, ed. Non-linear dynamics and endogenous cycles. Springer, 1998.

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N, Perry J., ed. Chaos in real data: Analysis of non-linear dynamics from short ecological time-series. Chapman & Hall, 1997.

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David, Parker. Chaos, management and economics: The implications of non-linear thinking. Institute of Economic Affairs, 1994.

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J, Hogan S., ed. Nonlinear dynamics and chaos: Where do we go from here? Institute of Physics Pub., 2003.

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Rajendra, Singh. Non-linear dynamic analysis of geared systems. Lewis Research Center, 1990.

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Singh, Rajendra. Non-linear dynamic analysis of geared systems. The Ohio State University, Dept. of Mechanical Engineering, 1990.

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Singh, Rajendra. Non-linear dynamic analysis of geared systems. The Ohio State University, Dept. of Mechanical Engineering, 1990.

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J, Shaker Francis, Fertis Demeter G, and Lewis Research Center, eds. Dynamic analysis of space-related linear and non-linear structures. NASA Lewis Research Facility, 1990.

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J, Shaker Francis, Fertis Demeter G, and Lewis Research Center, eds. Dynamic analysis of space-related linear and non-linear structures. NASA Lewis Research Facility, 1990.

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Book chapters on the topic "Non-linear and chaotic dynamic"

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Muscolino, G. "Response of Linear and Non-Linear Structural Systems under Gaussian or Non-Gaussian Filtered Input." In Dynamic Motion: Chaotic and Stochastic Behaviour. Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-2682-0_6.

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Nishimura, Kazuo, and Mokoto Yano. "Chaotic Solutions in Dynamic Linear Programming." In Nonlinear Dynamics in Equilibrium Models. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22397-6_7.

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Gonçalves, P. B. "The Complex Non-Linear Dynamics of Imperfection Sensitive Shells." In IUTAM Symposium on New Applications of Nonlinear and Chaotic Dynamics in Mechanics. Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-5320-1_19.

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Gonçalves, Paulo B., and Zenón J. G. N. del Prado. "The Non-Linear Dynamics of Thin Walled Shell Structures." In IUTAM Symposium on Chaotic Dynamics and Control of Systems and Processes in Mechanics. Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3268-4_20.

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Zhang, Xueping, Yawei Liu, Jiayao Wang, and Haohua Du. "A Novel Spatial Obstructed Distance by Dynamic Piecewise Linear Chaotic Map and Dynamic Nonlinear PSO." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13498-2_61.

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Glushkov, A. V., V. V. Buyadzhi, A. S. Kvasikova, et al. "Non-Linear Chaotic Dynamics of Quantum Systems: Molecules in an Electromagnetic Field and Laser Systems." In Quantum Systems in Physics, Chemistry, and Biology. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50255-7_10.

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Datseris, George, and Ulrich Parlitz. "Non-chaotic Continuous Dynamics." In Undergraduate Lecture Notes in Physics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91032-7_2.

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Devaney, Robert L. "Dynamics of Linear Maps." In An Introduction to Chaotic Dynamical Systems, 3rd ed. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429280801-27.

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West, Mike, and Jeff Harrison. "Non-Linear Dynamic Models." In Springer Series in Statistics. Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4757-9365-9_13.

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Elhadj, Zeraoulia. "Chaotic Behaviors in Piecewise Linear Mappings." In Dynamical Systems. CRC Press, 2019. http://dx.doi.org/10.1201/9780429028939-3.

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Conference papers on the topic "Non-linear and chaotic dynamic"

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Wang, Xiaotong, Xu Dai, Yang Wang, and Erfu Wang. "Color Image Encryption Algorithm Based on Non-degenerate Chaotic System and Dynamic DNA Encoding." In 2024 3rd International Joint Conference on Information and Communication Engineering (JCICE). IEEE, 2024. http://dx.doi.org/10.1109/jcice61382.2024.00045.

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Lv, Jingchan, and Zhihai Yao. "Dynamic weighted fusion of LSTM and non-stationary transformer for chaotic time series forecasting." In Fifth International Conference on Digital Signal and Computer Communications (DSCC 2025), edited by Gordana Jovanovic-Dolecek and Ke-Lin Du. SPIE, 2025. https://doi.org/10.1117/12.3071309.

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Cusumano, J. P., D. Chelidze, and A. Chatterjee. "Experimental Application of a Method for Hidden Parameter Tracking in a Slowly Changing, Chaotic System." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-1270.

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Abstract Results are presented of an experimental application of a method for tracking hidden parameters in slowly changing chaotic systems. The method exploits the time scale separation between fast dynamic variables and a slow drifting parameter. Locally linear tracking models are constructed using data from the reference system sampled on a fast time scale, employing delay coordinate embedding. These reference models are used to track parameter drift. The method is successfully applied to a forced oscillator with a two-well potential. The effect of the choice of prediction time interval is

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Chandra, Shalabh, Richard A. Grimm, Richard Katz, and James D. Thomas. "Applying non-linear dynamics to atrial appendage flow data to understand and characterize atrial arrhythmia." In Chaotic, fractal, and nonlinear signal processing. AIP, 1996. http://dx.doi.org/10.1063/1.51005.

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Kontorovich, V., and Z. Lovtchikova. "Non linear filtering algorithms for chaotic signals: A comparative study." In 2009 2nd International Workshop on Nonlinear Dynamics and Synchronization (INDS). IEEE, 2009. http://dx.doi.org/10.1109/inds.2009.5227999.

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Mosley, Michael J., and Constantinos Mavroidis. "Experimental Non-Linear Dynamics of a Shape Memory Alloy Wire Bundle Actuator." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0096.

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Abstract In this paper, the non-linear dynamics of a new Shape Memory Alloy (SMA) actuator that possesses impressive payload lifting capabilities are presented. This actuator consists of 48 SMA wires mechanically bundled in parallel forming one powerful muscle. It was designed to lift up to 100 lbs., which is approximately 300 times its weight. This SMA actuator was tested in open loop experiments with different loads and different inputs, such as step, ramp, sinusoid, and half sinusoid, and its dynamic characteristics were evaluated. An important observation made during the dynamic analysis w

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Kaplan, Jason A., Roger L. Fittro, Alexandrina Untaroiu, and Houston G. Wood. "Non-Linear Time-Transient Rotor Dynamic Analyses of Geared Systems." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-43481.

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The ability to accurately predict the response of rotating machinery to external forces and to assess system-level stability for different modes is crucial from a reliability and preventive maintenance perspective. Geared systems, in particular, contain many complexities, which may lead to instability and even chaotic vibration behavior. No methods for determining the effects of the dynamic meshing forces on the vibrations of complete shaft/bearing systems have been proposed in the literature. Several time-transient and steady-state models for analyzing gear forces and deflections have been pr

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Bourdier, S., and J. R. Chaplin. "Vortex-Induced Vibrations of a Rigid Cylinder on Non-Linear Elastic Supports." In ASME 2006 Pressure Vessels and Piping/ICPVT-11 Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/pvp2006-icpvt-11-93926.

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The dynamics of vortex-induced vibrations of a rigid circular cylinder with structural non-linearities, introduced by means of discontinuities in the support system, are studied experimentally. The analysis of the measurements is carried out using non-linear vibration tools, i.e phase-flow portraits, frequency spectra, Lyapunov exponents and correlation dimensions, to provide an insight into the dynamical changes in the system brought about by restricting the motion. We show that chaotic motions can occur due to the structural non-linearities.

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Singh, Vaibhav Kumar, and G. N. Pillai. "Dynamic sliding mode control of partially linear chaotic system." In 2015 39th National Systems Conference (NSC). IEEE, 2015. http://dx.doi.org/10.1109/natsys.2015.7489104.

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de Souza, Silvio L. T., Ibereˆ L. Caldas, Jose´ M. Balthazar, and Reyolando M. L. R. F. Brasil. "Dynamics of a Piecewise-Linear Oscillator With Limited Power Supply." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86455.

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We discuss dynamics of a vibro-impact system consisting of a cart with an piecewise-linear restoring force, which vibrates under driving by a source with limited power supply. From the point of view of dynamical systems, vibro-impact systems exhibit a rich variety of phenomena, particularly chaotic motion. In our analyzes, we use bifurcation diagrams, basins of attractions, identifying several non-linear phenomena, such as chaotic regimes, crises, intermittent mechanisms, and coexistence of attractors with complex basins of attraction.

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Reports on the topic "Non-linear and chaotic dynamic"

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CARNEGIE-MELLON UNIV PITTSBURGH PA. Non-Linear Dynamics and Chaotic Motions in Feedback Controlled Elastic System. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada208628.

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Dassanayake, Wajira, Chandimal Jayawardena, Iman Ardekani, and Hamid Sharifzadeh. Models Applied in Stock Market Prediction: A Literature Survey. Unitec ePress, 2019. http://dx.doi.org/10.34074/ocds.12019.

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Stock market prices are intrinsically dynamic, volatile, highly sensitive, nonparametric, nonlinear, and chaotic in nature, as they are influenced by a myriad of interrelated factors. As such, stock market time series prediction is complex and challenging. Many researchers have been attempting to predict stock market price movements using various techniques and different methodological approaches. Recent literature confirms that hybrid models, integrating linear and non-linear functions or statistical and learning models, are better suited for training, prediction, and generalisation performan

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Tunc Aldemir, Don W. Miller, Brian k. Hajek, and Peng Wang. Development of a Probabilistic Technique for On-line Parameter and State Estimation in Non-linear Dynamic Systems. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/793324.

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Reyes-Tagle, Gerardo, and Jorge E. Muñoz-Ayala. Debt and Economic Growth: Does Size Matter? Evidence from Dynamic Parametric and Static Non-parametric Approaches. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004818.

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This paper provides new evidence on the effect of debt on economic growth through two alternative methodological approaches. On the one hand, by using a panel error correction model with a sample of 130 countries between 1980 and 2020, we found evidence of the existence of a range of debt-to-GDP ratios for which economic growth remains positive after debt surges. This threshold may lie between 32 percent and 136 percent, with optimal economic growth achieved at an 84 percent debt-to-GDP ratio for the whole sample of countries. The error correction form for the economic growth was dynamically c

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Perdigão, Rui A. P. Earth System Dynamic Intelligence with Quantum Technologies: Seeing the “Invisible”, Predicting the “Unpredictable” in a Critically Changing World. Meteoceanics, 2021. http://dx.doi.org/10.46337/211028.

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We hereby embark on a frontier journey articulating two of our flagship programs – “Earth System Dynamic Intelligence” and “Quantum Information Technologies in the Earth Sciences” – to take the pulse of our planet and discern its manifold complexity in a critically changing world. Going beyond the traditional stochastic-dynamic, information-theoretic, artificial intelligence, mechanistic and hybrid approaches to information and complexity, the underlying fundamental science ignites disruptive developments empowering complex problem solving across frontier natural, social and technical geoscien

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Keogh, Brendan, Dan Golding, and Taylor Hardwick. Australian Music and Games 2023 Benchmark. Queensland University of Technology and Swinburne University of Technology, 2023. http://dx.doi.org/10.5204/rep.eprints.243139.

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Digital games are a global cultural force, of which music is a foundational aspect. Music is crucial for digital games to develop atmosphere, convey narratives, and frame player interactions. At the same time, digital games provide musicians exciting new opportunities to experiment with dynamic, adaptive, and non-linear music structures. However, writing, producing, licensing, and implementing music for digital games also poses new challenges to existing screen music practices and business models. This benchmark is the first ever investigation into the scope and scale of Australia’s game music

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Perdigão, Rui A. P. New Horizons of Predictability in Complex Dynamical Systems: From Fundamental Physics to Climate and Society. Meteoceanics, 2021. http://dx.doi.org/10.46337/211021.

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Discerning the dynamics of complex systems in a mathematically rigorous and physically consistent manner is as fascinating as intimidating of a challenge, stirring deeply and intrinsically with the most fundamental Physics, while at the same time percolating through the deepest meanders of quotidian life. The socio-natural coevolution in climate dynamics is an example of that, exhibiting a striking articulation between governing principles and free will, in a stochastic-dynamic resonance that goes way beyond a reductionist dichotomy between cosmos and chaos. Subjacent to the conceptual and ope

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Ferdaus, Md Meftahul, Mahdi Abdelguerfi, Elias Ioup, et al. KANICE : Kolmogorov-Arnold networks with interactive convolutional elements. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49791.

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We introduce KANICE, a novel neural architecture that combines Convolutional Neural Networks (CNNs) with Kolmogorov-Arnold Network (KAN) principles. KANICE integrates Interactive Convolutional Blocks (ICBs) and KAN linear layers into a CNN framework. This leverages KANs’ universal approximation capabilities and ICBs’ adaptive feature learning. KANICE captures complex, non-linear data relationships while enabling dynamic, context-dependent feature extraction based on the Kolmogorov-Arnold representation theorem. We evaluated KANICE on four datasets: MNIST, Fashion-MNIST, EMNIST, and SVHN, compa

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Khan, Mahreen. Lessons from Adaptive Programming. Institute of Development Studies, 2022. http://dx.doi.org/10.19088/k4d.2022.142.

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The aim of adaptive programming (AP) is to produce adaptive, flexible, iterative, responsive, problem-driven, politically smart, locally led programmes which are effective and efficient and meet donor requirements for accountability. This is a rapid desk review of recent literature on AP including academic and grey sources. Section 2 covers the main challenges and barriers to successful implementation of AP. Key success factors are covered in Section 3. Selecting the appropriate monitoring and evaluation tools such as outcome harvesting or adapted versions of Value for Money to assist in measu

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti

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