Results 1 to 10 of about 41,955 (118)
Multiple model trajectory poisson multi-bernoulli mixtures filter for tracking multiple maneuvering objects [PDF]
Scientific ReportsMulti-object tracking (MOT) in cluttered and dynamic environments remains challenging, especially for maneuvering objects. While trajectory-based random finite set (RFS) filters provide principled solutions for trajectory estimation, they typically rely ...
Ibrahim Salim +3 more
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Identifying RNA N6-Methyladenine Sites in Three Species Based on a Markov Model
Frontiers in Genetics, 2021 N6-methyladenosine (m6A), the most common posttranscriptional modification in eukaryotic mRNAs, plays an important role in mRNA splicing, editing, stability, degradation, etc.
Cong Pian +4 more
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A geographical location prediction method based on continuous time series Markov model. [PDF]
PLoS ONE, 2018 Trajectory data uploaded by mobile devices is growing quickly. It represents the movement of an individual or a device based on the longitude and latitude coordinates collected by GPS.
Yongping Du +4 more
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Reliability Calculation for a Multilayered Coating Based on a Model with Independently (Sequentially) Degrading Layers [PDF]
EPJ Web of Conferences, 2021 The paper proposes methods to predict the reliability of a multilayered coating based on a model with independently (sequentially) degrading layers. For the mathematical description of the process of crack penetration into the depth of a layered solid ...
Osinnii Aleksei +4 more
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Period Division-Based Markov Models for Short-Term Traffic Flow Prediction
IEEE Access, 2020 Short-term traffic flow prediction is very important and provides the basic data for traffic management and route guidance. The rules of traffic flow data during different periods in a day are different.
Ronghan Yao, Wensong Zhang, Dong Zhang
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International Journal for Simulation and Multidisciplinary Design Optimization, 2023 The Generalized Gamma Distribution (GGD) is one of the most popular distributions in analyzing real lifetime datasets. Estimating the parameters of a high dimensional probability distribution is challenging due to the complexities associated with the ...
Sayed Amani Idris A. +1 more
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A Fast and Efficient Markov Chain Monte Carlo Method for Market Microstructure Model
Discrete Dynamics in Nature and Society, 2021 The non-linear market microstructure (MM) model for financial time series modeling is a flexible stochastic volatility model with demand surplus and market liquidity.
Sun Yapeng, Peng Hui, Xie Wenbiao
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BMC Health Services Research, 2023 Background There is limited evidence in the literature on the long-term effectiveness and cost-effectiveness of treatments for Acute Severe Ulcerative Colitis (ASUC).
Mohammed Fasihul Alam +8 more
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Cryptography, 2022 This paper suggests a strategy (C5) for assessing cloud and IoT system (CIS) dependability, availability, and cybersecurity based on the continuous collection, comparison, choice, and combination of Markov and semi-Markov models (MMs and SMMs).
Vyacheslav Kharchenko +4 more
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Frontiers in Earth Science, 2022 Precipitation prediction is crucial for water resources management and agricultural production. We deployed a hybrid model based on ensemble empirical mode decomposition (EEMD) and Bayesian model averaging (BMA), called EEMD-BMA, for monthly ...
Shangxue Luo +6 more
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