Results 191 to 200 of about 659 (220)
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies. [PDF]
Yuan B +8 more
europepmc +1 more source
openaire
A Multicellular Mechanochemical Model to Investigate Tumor Microenvironment Remodeling and Pre-Metastatic Niche Formation. [PDF]
Hirway SU +3 more
europepmc +1 more source
Minding the gap between artificial and biological computing paradigms for biologically loyal AI. [PDF]
Kirkpatrick KL.
europepmc +1 more source
A Dynamical Systems Approach to Optimal Foraging
Chaturvedi S, El-Gazzar A, Gerven Mv.
europepmc +1 more source
Some of the next articles are maybe not open access.
Dynamical and spatial aspects of sandpile cellular automata
Journal of Statistical Physics, 1991The Bak, Tang, and Wiesenfeld cellular automaton is simulated in 1, 2, 3, 4, and 5 dimensions. We define a (new) set of scaling exponents by introducing the concept of conditional expectation values. Scaling relations are derived and checked numerically and the critical dimension is discussed.
Kim Christensen +2 more
openaire +1 more source
Solution of some conjectures about topological properties of linear cellular automata
We study two dynamical properties of linear D-dimensional cellular automata over Zm namely, denseness of periodic points and topological mixing. For what concerns denseness of periodic points, we complete the work initiated in (Theoret. Comput. Sci. 174 (
Alberto Dennunzio, Luciano Margara
exaly +2 more sources
2015
A better understanding of landslide dynamics is an important scientific goal, as it is a key factor in the process of improving risk assessment and mitigation. Some of the most interesting and fruitful frameworks for the study of this class of phenomena are provided by self-organized criticality theory.
LIUCCI, LUISA +2 more
openaire +1 more source
A better understanding of landslide dynamics is an important scientific goal, as it is a key factor in the process of improving risk assessment and mitigation. Some of the most interesting and fruitful frameworks for the study of this class of phenomena are provided by self-organized criticality theory.
LIUCCI, LUISA +2 more
openaire +1 more source

