Results 151 to 160 of about 493,475 (209)
Novel structures of chaos-based parallel multiple image encryption and FPGA implementation. [PDF]
Hoang TM +4 more
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Machine Learning-Based Prediction Framework for Complex Neuromorphic Dynamics of Third-Order Memristive Neurons at the Edge of Chaos. [PDF]
Luo T, Yan L, Liu W.
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Hopf-Hopf bifurcation analysis and chaotic delayed-DNA audio encryption using cubic nonlinear optoelectronic oscillator. [PDF]
Aiyaz M +6 more
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Limitations of Variational Laplace-Based Dynamic Causal Modelling for Multistable Cortical Circuits. [PDF]
Asadpour A, Azimi A, Wong-Lin K.
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Full-cycle prediction of crack healing in self-healing concrete using generalized polynomial chaos expansion. [PDF]
Fu C +6 more
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Modeling nonlinear variable-order fractional chaotic systems using the Caputo-Fabrizio operator and radial basis function neural networks. [PDF]
Sawar S +5 more
europepmc +1 more source
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Physical Review Letters, 1990
Summary: The authors show that one can convert a chaotic attractor to any one of a large number of possible attracting time-periodic motions by making only small time-dependent perturbations of an available system parameter. The method utilizes delay coordinate embedding, and so is applicable to experimental situations in which apriori analytical ...
Ott, Edward +2 more
openaire +2 more sources
Summary: The authors show that one can convert a chaotic attractor to any one of a large number of possible attracting time-periodic motions by making only small time-dependent perturbations of an available system parameter. The method utilizes delay coordinate embedding, and so is applicable to experimental situations in which apriori analytical ...
Ott, Edward +2 more
openaire +2 more sources
Physics Today, 1995
Scientists in many fields are recognizing that the systems they study often exhibit a type of time evolution known as chaos. Its hallmark is wild, unpredictable behavior, a state often perplexing and unwelcome to those who encounter it. Indeed this highly structured and deterministic phenomenon was in the past frequently mistaken for noise and viewed ...
Edward Ott, Mark Spano
openaire +1 more source
Scientists in many fields are recognizing that the systems they study often exhibit a type of time evolution known as chaos. Its hallmark is wild, unpredictable behavior, a state often perplexing and unwelcome to those who encounter it. Indeed this highly structured and deterministic phenomenon was in the past frequently mistaken for noise and viewed ...
Edward Ott, Mark Spano
openaire +1 more source
ACM SIGPLAN Notices, 2009
With the rising variety of hardware designs for multi-core systems, the effectiveness in exploiting implicit concurrency of programs plays a more vital role for programming such systems than ever before. We believe that a combination of a dataparallel approach with a declarative programming-style is up to that task: Data-parallel approaches are known ...
Stephan Herhut +2 more
+6 more sources
With the rising variety of hardware designs for multi-core systems, the effectiveness in exploiting implicit concurrency of programs plays a more vital role for programming such systems than ever before. We believe that a combination of a dataparallel approach with a declarative programming-style is up to that task: Data-parallel approaches are known ...
Stephan Herhut +2 more
+6 more sources

