Results 101 to 110 of about 2,867,745 (367)

Urban Growth Simulation of Atakum (Samsun, Turkey) Using Cellular Automata-Markov Chain and Multi-Layer Perceptron-Markov Chain Models

open access: yesRemote Sensing, 2015
In this study, urban growth of the Atakum District in Samsun, Turkey, was simulated by Cellular Automata-Markov Chain (CA-MC) and Multi-layer Perceptron-Markov Chain (MLP-MC) hybrid models in a geographical information system (GIS) environment ...
D. Ozturk
semanticscholar   +1 more source

A Multi‐Objective Molecular Generation Method Based on Pareto Algorithm and Monte Carlo Tree Search

open access: yesAdvanced Science, EarlyView.
Pareto Monte Carlo Tree Search Molecular Generation (PMMG), a molecular generation approach leveraging Monte Carlo Tree Search (MCTS) and Pareto algorithm, efficiently explores the Pareto front in high‐dimensional objective spaces for multi‐objective drug design.
Yifei Liu   +12 more
wiley   +1 more source

Markov Chain Approximations to Singular Stable-like Processes [PDF]

open access: yesarXiv, 2012
We consider the Markov chain approximations for singular stable-like processes. First we obtain properties of some Markov chains. Then we construct the approximating Markov chains and give a necessary condition for weak convergence of these chains to singular stable-like processes.
arxiv  

DPImpute: A Genotype Imputation Framework for Ultra‐Low Coverage Whole‐Genome Sequencing and its Application in Genomic Selection

open access: yesAdvanced Science, Volume 12, Issue 16, April 24, 2025.
DPImpute is a two‐step pipeline that outperforms existing tools in whole‐genome SNP imputation, particularly under conditions of ultra‐low coverage sequencing, small sample sizes, and limited references. It enables precise imputation for single blastocyst cells, supporting genomic selection at the pre‐implantation stage.
Weigang Zheng   +11 more
wiley   +1 more source

Graphs: Associated Markov Chains [PDF]

open access: yesarXiv, 2012
In this research paper, weighted / unweighted, directed / undirected graphs are associated with interesting Discrete Time Markov Chains (DTMCs) as well as Continuous Time Markov Chains (CTMCs). The equilibrium / transient behaviour of such Markov chains is studied.
arxiv  

Deterministic chaos for Markov chains [PDF]

open access: yesarXiv, 2020
We find that Markov chains with finite state space are Poincare chaotic. Moreover, finite realizations of the chains are arcs of each unpredictable orbit for sure. An illustrating example with a proper numerical simulation is provided.
arxiv  

Design Principles From Natural Olfaction for Electronic Noses

open access: yesAdvanced Science, Volume 12, Issue 12, March 27, 2025.
Unlocking “universal smell” requires integrating key principles of natural olfactory systems: modulation of gas transport, utilization of non‐selective sensing elements, chemical filters akin to the biological mucus layer to separate compounds, refined context‐specific signal integration, and more.
Haritosh Patel   +9 more
wiley   +1 more source

Regularity of harmonic functions for some Markov chains with unbounded range [PDF]

open access: yesarXiv, 2012
We consider a class of continuous time Markov chains on $\Z^d$. These chains are the discrete space analogue of Markov processes with jumps. Under some conditions, we show that harmonic functions associated with these Markov chains are H\"{o}lder continuous.
arxiv  

Markov chains with replacement

open access: yesAdvances in Applied Probability, 1974
Abstract The following modification of a general state space discrete-time Markov chain is considered: certain transitions are supposed “forbidden” and the chain evolves until there is such a transition. At this instant the value of the chain is “replaced” according to a given rule, and, starting from the new value, the chain evolves normally until ...
Terence P. Speed, Elja Arjas
openaire   +3 more sources

CPL‐Diff: A Diffusion Model for De Novo Design of Functional Peptide Sequences with Fixed Length

open access: yesAdvanced Science, EarlyView.
This study presents a diffusion model for generating functional peptide sequence lengths using mask control. The model can generate antimicrobial, antifungal, and antiviral peptides with specific lengths on demand. The model learns the structure of peptides better and generates peptides with better physicochemical properties, and the model has good ...
Zhenjie Luo   +5 more
wiley   +1 more source

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