Results 31 to 40 of about 99,794 (163)

Computation Theory of Cellular Automata [PDF]

Communications in Mathematical Physics, 1984
Self-organizing behaviour in cellular automata is discussed as a computational process. Formal language theory is used to extend dynamical systems theory descriptions of cellular automata. The sets of configurations generated after a finite number of time steps of cellular automaton evolution are shown to form regular languages. Many examples are given.
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Self-oscillating synchronematic colloids

Nature Communications
Self-oscillators that sustain periodic dynamics under constant input are ubiquitous in natural and engineered systems, where their interactions enable spatiotemporal coordination among many individual units.
Sergi G. Leyva, Zhengyan Zhang, Monica Olvera de la Cruz, Kyle J. M. Bishop   +3 more
doaj   +1 more source

A Theory of Computer Instructions [PDF]

Journal of the ACM, 1966
A computer is a set M (the memory), a set B , a class of maps S : M → B , known as states, and a class @@@@ of maps T : @@@@ → @@@@, known as instructions. Each instruction I
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Enhancing thermoelectric performance of n-type AgBi3S5 through synergistically optimizing the effective mass and carrier mobility

Journal of Materiomics, 2023
AgBi3S5 is a new n-type thermoelectric material that is environmentally friendly and composed of elements of earth-abundant, non-toxic and high performance-cost ratio.
Xin Qian, Xiaoxue Zhang, Haoran Guo, Bangfu Ding, Mingjing Chen, Jiang-Long Wang, Li-Dong Zhao, Shu-Fang Wang   +7 more
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A Quantitative Theory of Neural Computation [PDF]

Biological Cybernetics, 2006
We show how a general quantitative theory of neural computation can be used to explain two recent experimental findings in neuroscience. The first of these findings is that in human medial temporal lobe there exist neurons that correspond to identifiable concepts, such as a particular actress.
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Exploring Cardiac Rhythms and Improving ECG Beat Classification Through Latent Spaces

IEEE Access
In recent years, a wide variety of Machine Learning (ML) algorithms, including Deep Learning (DL) methods, have been proposed for electrocardiogram (ECG) beat classification.
Alba Vadillo-Valderrama, Jacobo Chaquet-Ulldemolins, Rebeca Goya-Esteban, Raul P. Caulier-Cisterna, Juan Jose Sanchez-Munoz, Arcadi Garcia-Alberola, Jose Luis Rojo-Alvarez   +6 more
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Novel route to enhance the thermo-optical performance of bicyclic diene photoswitches for solar thermal batteries

Beilstein Journal of Organic Chemistry
Harnessing solar energy by employing chemical photoswitches in molecular solar thermal (MOST) energy storage systems is a topic of appealing research interest.
Akanksha Ashok Sangolkar, Rama Krishna Kadiyam, Ravinder Pawar   +2 more
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External Prestressing Bridge Reinforcement Technology Review

MATEC Web of Conferences, 2015
Externally prestressed bridge can not only limit and reduce the cracks and deformation of the structure, improve the rigidity and bearing capacity of structure, improve the stress state of structure, but also have less interference for bridge operation ...
Zhu Hanbing, Yang Yaxun, Fan Weiya
doaj   +1 more source

Insights in How Computer Science can be a Science

Science & Philosophy, 2020
Recently, information retrieval is shown to be a science by mapping information retrieval scientific study to scientific study abstracted from physics. The exercise was rather tedious and lengthy.
Robert W.P. Luk
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Data-driven modeling of polymer electrolyte fuel cells: Towards predictive analytics with explainable artificial intelligence

Energy and AI
Polymer electrolyte fuel cells will be an essential technology of the emerging hydrogen economy. However, optimizing their cost and performance necessitates understanding of how different parameters affect their operation.
Ali Malek, Max Dreger, Nima Shaigan, Chaojie Song, Kourosh Malek, Jasna Jankovic, Michael Eikerling   +6 more
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