Results 11 to 20 of about 151,138 (245)
MM-6mAPred: identifying DNA N6-methyladenine sites based on Markov model
Abstract Motivation Recent studies have shown that DNA N6-methyladenine (6mA) plays an important role in epigenetic modification of eukaryotic organisms. It has been found that 6mA is closely related to embryonic development, stress response and so on.
Cong Pian +3 more
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Multiple model trajectory poisson multi-bernoulli mixtures filter for tracking multiple maneuvering objects [PDF]
Multi-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
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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Reliability Calculation for a Multilayered Coating Based on a Model with Independently (Sequentially) Degrading Layers [PDF]
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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A geographical location prediction method based on continuous time series Markov model. [PDF]
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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Period Division-Based Markov Models for Short-Term Traffic Flow Prediction
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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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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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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A Fast and Efficient Markov Chain Monte Carlo Method for Market Microstructure Model
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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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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