MMG4: Recognition of G4-Forming Sequences Based on Markov Model
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Computational Biology"
DOI: 10.1089/cmb.2024.0523
Abstract: G-quadruplexes (G4s) are special nucleic acid structures with various important biological functions. Existing tools and technologies for G4-forming sequences recognition are limited to time-consuming and costly methods such as circular dichroism and nuclear magnetic resonance.… read more here.
Keywords: forming sequences; recognition; based markov; model ... See more keywords
Period Division-Based Markov Models for Short-Term Traffic Flow Prediction
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DOI: 10.1109/access.2020.3027866
Abstract: 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. Thus, this article… read more here.
Keywords: based markov; traffic; traffic flow; markov models ... See more keywords
Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2016.2613865
Abstract: We propose a probabilistic graphical framework for multi-instance learning (MIL) based on Markov networks. This framework can deal with different levels of labeling ambiguity (i.e., the portion of positive instances in a bag) in weakly… read more here.
Keywords: based markov; classification; markov networks; cardinality ... See more keywords
Decision System Based on Markov Chains for Sizing the Rebalancing Fleet of Bike Sharing Stations
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DOI: 10.3390/app14156743
Abstract: Docked Bike Sharing Systems often experience load imbalances among bike stations, leading to uneven distribution of bicycles and to challenges in meeting users’ demand. To address the load imbalances, many docked Bike Sharing Systems employ… read more here.
Keywords: system; based markov; bike sharing; markov chains ... See more keywords
Fault Distance Measurement in Distribution Networks Based on Markov Transition Field and Darknet-19
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DOI: 10.3390/math12111665
Abstract: The modern distribution network system is gradually becoming more complex and diverse, and traditional fault location methods have difficulty in quickly and accurately locating the fault location after a single-phase ground fault occurs. Therefore, this… read more here.
Keywords: field; distance; distribution; distribution networks ... See more keywords