Zobrazeno 1 - 10
of 172
pro vyhledávání: '"Khasawneh, Firas"'
Autor:
Tanweer, Sunia, Khasawneh, Firas A.
Phenomenological (P-type) bifurcations are qualitative changes in stochastic dynamical systems whereby the stationary probability density function (PDF) changes its topology. The current state of the art for detecting these bifurcations requires reli
Externí odkaz:
http://arxiv.org/abs/2401.16563
We introduce two time-delay models of metabolic oscillations in yeast cells. Our model tests a hypothesis that the oscillations occur as multiple pathways share a limited resource which we equate to the number of available ribosomes. We initially exp
Externí odkaz:
http://arxiv.org/abs/2305.07643
Changes in the parameters of dynamical systems can cause the state of the system to shift between different qualitative regimes. These shifts, known as bifurcations, are critical to study as they can indicate when the system is about to undergo harmf
Externí odkaz:
http://arxiv.org/abs/2305.03118
We explore a novel application of zero-dimensional persistent homology from Topological Data Analysis (TDA) for bracketing zero-crossings of both one-dimensional continuous functions, and uniformly sampled time series. We present an algorithm and sho
Externí odkaz:
http://arxiv.org/abs/2301.07703
Quantifying patterns in visual or tactile textures provides important information about the process or phenomena that generated these patterns. In manufacturing, these patterns can be intentionally introduced as a design feature, or they can be a byp
Externí odkaz:
http://arxiv.org/abs/2210.06333
Surface texture influences wear and tribological properties of manufactured parts, and it plays a critical role in end-user products. Therefore, quantifying the order or structure of a manufactured surface provides important information on the qualit
Externí odkaz:
http://arxiv.org/abs/2209.05531
Publikováno v:
Chaos 32, 093111 (2022)
Existing tools for bifurcation detection from signals of dynamical systems typically are either limited to a special class of systems, or they require carefully chosen input parameters, and significant expertise to interpret the results. Therefore, w
Externí odkaz:
http://arxiv.org/abs/2206.04861
Autor:
Khasawneh, Firas Abdallah.
Publikováno v:
MU access.
Thesis (M.S.)--University of Missouri-Columbia, 2006.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general
Externí odkaz:
http://hdl.handle.net/10355/5871
This work presents a framework for studying temporal networks using zigzag persistence, a tool from the field of Topological Data Analysis (TDA). The resulting approach is general and applicable to a wide variety of time-varying graphs. For example,
Externí odkaz:
http://arxiv.org/abs/2205.11338
This work is dedicated to the topological analysis of complex transitional networks for dynamic state detection. Transitional networks are formed from time series data and they leverage graph theory tools to reveal information about the underlying dy
Externí odkaz:
http://arxiv.org/abs/2206.02530