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Search results for: cellular automata
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On the decomposition of stochastic cellular automata
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A Statistical Approach to the Identification of Diploid Cellular Automata
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Application of a cellular automata model to granular flow
PublicationPrzedstawiono wyniki modelowania przepływów granulowanych przy zastosowaniu automatu komórkowego. Obliczenia wykonano dla silosów ze wstawkami i ścianką szczelną. Przyjęto różne schematy propagacji ziaren.
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Analysis of elementary cellular automata using the theory of conflict
PublicationThe paper contains decomposition of elementary cellular automata (ECA in short) to subsystems that are defined according to a new theory called theory of conflict (ToC in short). The decomposition is a completely new approach to analysis of ECA and complex systems in general.
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The Density Classification Problem in the Context of Continuous Cellular Automata
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Two-dimensional rotation-symmetric number-conserving cellular automata
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An evolutionary approach to the identification of Cellular Automata based on partial observations
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Identification of Cellular Automata Based on Incomplete Observations With Bounded Time Gaps
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A statistical approach to the identification of diploid cellular automata based on incomplete observations
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Affine continuous cellular automata solving the fixed-length density classification problem
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Density-conserving affine continuous cellular automata solving the relaxed density classification problem
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On the Identification of $$\alpha $$ α -Asynchronous Cellular Automata in the Case of Partial Observations with Spatially Separated Gaps
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Application of a cellular automaton to simulations of granular flow in silos
PublicationA cellular automaton based on a gas model of hydrodynamics was used to calculate the kinematics of non-cohesive granular materials during confined flow in a mass flow and funnel flow model silo. In the model, collisions of particles were taken into account during granular flow. In addition, a simplified automaton was used wherein granular flow was assumed as an upward propagation of holes through a lattice composed of cells representing...
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An intelligent cellular automaton scheme for modelling forest fires
PublicationForest fires have devastating consequences for the environment, the economy and human lives. Understanding their dynamics is therefore crucial for planning the resources allocated to combat them effectively. In a world where the incidence of such phenomena is increasing every year, the demand for efficient and accurate computational models is becoming increasingly necessary. In this study, we perform a revision of an initial proposal...
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Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
PublicationWetlands provide vital ecological and socioeconomic services but face escalating pressures worldwide. This study undertakes an integrated spatiotemporal assessment of the multifaceted vulnerabilities shaping Khinjhir Lake, an ecologically significant wetland ecosystem in Pakistan, using advanced geospatial and machine learning techniques. Multi-temporal optical remote sensing data from 2000 to 2020 was analyzed through spectral...