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A Cellular Automata Model of Spatio-Temporal Distribution of Species
Cellular automata (CA) are discrete models used in several studies due to the capacity to simulate dynamic systems and analyze their behavior. One of...
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Seven Things I Know About Them
In this paper, we intend to present a series of 7 application examples inspired by the work of Eric Goles with his numerous collaborators, while...
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SGABU Computational Platform as a Tool for Improved Education and Research in Multiscale Modelling
There is a need to develop an integrated computational platform that will contain both datasets and multiscale models related to bone (modelling),...
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On the Statistical Analysis of an Individual-Based SI Model for Malware Propagation on WSNs
Usually statistical techniques are employed to analyze malware behavior mainly through machine learning-based methods. However it seems legitimate to...
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Theoretical Study of Physico-mechanical Response of Permeable Fluid-Saturated Materials Under Complex Loading Based on the Hybrid Cellular Automaton Method
We give a brief description of the results obtained by Prof. Sergey G. Psakhie and his colleagues in the field of theoretical studies of mechanical...
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Automated Guided Vehicle Indoor Positioning Method Based Cellular Automata
Automated guided vehicle (AGV) can greatly improve warehousing operation efficiency and reduce labor costs. As a key technology, the positioning...
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Elastodynamic problem on tensor random fields with fractal and Hurst effects
This paper reports a cellular automata (CA) study of the transient dynamic responses of anti-plane shear Lamb’s problems on random fields (RFs) with...
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Porosity and Diffusion in Biological Tissues. Recent Advances and Further Perspectives
We present a review of porosity and diffusion in biological tissues from different perspectives. We first introduce the topic by illustrating...
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Evolutionary Computation: Perspectives on Past and Future
Evolutionary computation is a sub-field of artificial intelligence and artificial life that uses biologically inspired methods to solve optimization...
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Logistics Vehicle Distribution Route Planning and Management System Based on Quantum Genetic Algorithm
With the rapid expansion of e-commerce and take-out platforms, urban express delivery has become an important part of logistics service system. Due...
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Cellular Automata Between Life Science and Parametric Design: Examples of Stochastic Models to Simulate Natural Processes and Generate Morphogenetic Artefacts
Cellular automata are models that deal with both nature and artefacts: they can indeed simulate living beings as well as be employed in the creation...
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Memory Computing on the Edge of Chaos
One of the key features of Cellular Neural Networks (CNN) is the ability to perform high speed computation with memory storage localized to each...
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Artificial Intelligence in Biological Modelling
Systems Biology aims at elucidating the high-level functions of the cell from their biochemical basis at the molecular level. A lot of work has been...
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An Approach to Simulate Malware Propagation in the Internet of Drones
This research addresses the problem of malicious code propagation in a swarm of drones. Its main objective is to establish the conceptual basis and...
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A physics-informed deep learning framework for modeling of coronary in-stent restenosis
Machine learning (ML) techniques have shown great potential in cardiovascular surgery, including real-time stenosis recognition, detection of stented...
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Review on modeling and simulation of microstructure evolution during dynamic recrystallization using cellular automaton method
The macro-mechanical properties of metal and alloy are largely depended on their chemical composition and microstructures resulting from the...
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Learning-Based Cryptography
Machine learning technologies have seen a broad variety of applications in recent years. Nonetheless, the use of machine learning in the fields of...
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Effect of Delay Sensitivity in Life and Extended Life
This paper shows the dynamics of Game of Life (Life) under delay-sensitive updating scheme where, during information sharing, neighbouring cells are...
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Consequential Innovations in Nature-Inspired Intelligent Computing Techniques for Biomarkers and Potential Therapeutics Identification
Computational biology has changed how healthcare systems and biomedical engineering work. Nature-inspired intelligent computing (NIIC) approaches in...
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Stigmergy for Biological Spatial Modeling
Complex adaptive systems can be characterized as systems that are comprised of groups of agents following simple rules that, collectively, produce...