Analysis of the Steps in Single-Molecule Photobleaching Traces by Using the Hidden Markov Model and Maximum-Likelihood Clustering

2014 ◽  
Vol 9 (8) ◽  
pp. 2303-2308 ◽  
Author(s):  
Jinghe Yuan ◽  
Kangmin He ◽  
Ming Cheng ◽  
Jianqiang Yu ◽  
Xiaohong Fang
Keyword(s):  
Maximum Likelihood ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Single Molecule ◽  
Hidden Markov

Photon-by-Photon Hidden Markov Model Analysis for Microsecond Single-Molecule FRET Kinetics

2016 ◽  
Vol 120 (51) ◽  
pp. 13065-13075 ◽  
Author(s):  
Menahem Pirchi ◽  
Roman Tsukanov ◽  
Rashid Khamis ◽  
Toma E. Tomov ◽  
Yaron Berger ◽  
...  
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Single Molecule ◽  
Hidden Markov ◽  
Model Analysis ◽  
Single Molecule Fret

scholarly journals Determination of Single Molecule erbB1 Homodimer Lifetimes Using Single Quantum Dot Tracking and a Diffusive Hidden Markov Model

2010 ◽  
Vol 98 (3) ◽  
pp. 498a
Author(s):  
Shalini T. Low-Nam ◽  
Keith A. Lidke ◽  
Patrick J. Cutler ◽  
Rob C. Roovers ◽  
Paul M.P. van Bergen en Henegouwen ◽  
...  
Keyword(s):  
Quantum Dot ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Single Molecule ◽  
Hidden Markov ◽  
Single Quantum ◽  
Single Quantum Dot

HMM Based Enhanced Security System for ATM Payments

2011 ◽  
Vol 403-408 ◽  
pp. 1014-1021
Author(s):  
Vivek V. Jog ◽  
M.J. Chouhan ◽  
Akhil Mangla
Keyword(s):  
Maximum Likelihood ◽  
Markov Model ◽  
Electronic Commerce ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Transaction Processing ◽  
Mobile Security ◽  
Security System ◽  
Security Model

Due to a rapid advancement in the electronic commerce technology, the use of ATM cards has dramatically increased. As ATM card becomes the most popular mode of payment for both online as well as regular purchase, cases of fraud associated with it are also rising. In this paper, we model the sequence of operations in ATM card transaction processing using a Hidden Markov Model as well as Bluetooth based mobile security model (HMM) and show how it can be used for the detection of frauds. To determine the parameters of a HMM it is first necessary to make a rough guess at what they might be. Once this is done, more accurate (in the maximum likelihood sense) parameters can be found by applying the so-called Baum-Welch re-estimation formulae..

Auscultating Diagnosis for Hemodialysis Shunt Stenosis using a Self-Organizing Map and Hidden Markov Model

2012 ◽  
Vol 132 (10) ◽  
pp. 1589-1594 ◽  
Author(s):  
Hayato Waki ◽  
Yutaka Suzuki ◽  
Osamu Sakata ◽  
Mizuya Fukasawa ◽  
Hatsuhiro Kato
Keyword(s):  
Markov Model ◽  
Hidden Markov Model ◽  
Hidden Markov ◽  
Self Organizing Map ◽  
Self Organizing
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