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Research on online EDI order scheduling optimization strategy in manufacturing enterprises based on time-varying Markov chains [PDF]
Scientific ReportsIn the era of Industry 5.0 and artificial intelligence, with the continuous development of online EDI orders, manufacturing enterprises adopting a combined online and offline order acceptance model face the challenge of optimizing production scheduling ...
Qiqige Wulan
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KVLMM: A Trajectory Prediction Method Based on a Variable-Order Markov Model With Kernel Smoothing
IEEE Access, 2018 With the dramatic proliferation of global positioning system (GPS) devices, a rich range of research has been conducted on the analysis of GPS trajectories.
Xing Wang +3 more
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Cache-Based Privacy Protection Scheme for Continuous Location Query
Entropy, 2023 Users who initiate continuous location queries are prone to trajectory information leakage, and the obtained query information is not effectively utilized.
Zhenpeng Liu +4 more
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Advances in Mechanical Engineering, 2022 Aiming at the contact strength reliability of variable hyperbolic circular arc gear, a reliability analysis method for contact strength of variable hyperbolic circular arc gear based on Kriging model and advanced first-order and second-moment algorithm ...
Zhang Qi +6 more
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Dynamic order Markov model for categorical sequence clustering
Journal of Big Data, 2021 Markov models are extensively used for categorical sequence clustering and classification due to their inherent ability to capture complex chronological dependencies hidden in sequential data.
Rongbo Chen +4 more
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A framework for space-efficient variable-order Markov models [PDF]
Bioinformatics, 2018 AbstractMotivationMarkov models with contexts of variable length are widely used in bioinformatics for representing sets of sequences with similar biological properties. When models contain many long contexts, existing implementations are either unable to handle genome-scale training datasets within typical memory budgets, or they are optimized for ...
Cunial, Fabio +2 more
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BMC Public Health, 2022 Objective This study described the epidemic characteristics of varicella in Dalian from 2009 to 2019, explored the fitting effect of Grey model first-order one variable( GM(1,1)), Markov model, and GM(1,1)-Markov model on varicella data, and found the ...
Tingting Cheng +5 more
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Simulating the spatiotemporal changes of forest extent for the Chehelchay watershed (Golestan province), using integrated CA-Markov model [PDF]
تحقیقات جنگل و صنوبر ایران, 2012 The importance of land-use/ land-cover (LULC) as a dynamic factor and effective on environmental conditions, makes it necessary to get precise quantitative and qualitative information from it and to identify its changes through short time periods ...
Arash Zare Garizi +3 more
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Predicting Stock Returns Using a Variable Order Markov Tree Model [PDF]
Studies in Nonlinear Dynamics & Econometrics, 2012 The weak form of the Efficient Market Hypothesis (EMH) states that the current market price fully reflects the information of past prices and rules out predictions based on price data alone. In an efficient market, consistent prediction of the next outcome of a financial time series is problematic because there are no reoccurring patterns that can be ...
Armin Shmilovici, Irad Ben-Gal
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Predictive Channel Access in Cognitive Radio Networks Based on Variable Order Markov Models [PDF]
2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, 2011 The concept of CR enables the unlicensed users to share the spectrum with licensed users, on the condition that the licensed users have preemptive priority. The use of the channel by unlicensed users should not result in more than acceptable interference level to the licensed users, if interference occurs.
C. Devanarayana, A. S. Alfa
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