Results 61 to 70 of about 42,612 (158)

Application of the Markov Chain Theory in Estimating the Strength of Fiber-Layered Composite Structures with Regard to Manufacturing Aspects

, 2020
The following work describes the application of a mathematical model based on Markov chain theory (MM) to estimate the fiber composite strength parameters, taking into account the laminate forming aspects using the vacuum bag method.
Chatys, Rafał
core   +1 more source

Comparisons of wave dynamics in Hodgkin-Huxley and Markov-state formalisms for the sodium (Na) channel in some mathematical models for human cardiac tissue

Physical Review Research, 2020
We compare and contrast the excitation properties of cardiac myocytes and cardiac tissue modeled by (a) a Hodgkin-Huxley-model (HHM) and (b) Markov-chain-model (MM) formalisms for the sodium (Na) ion channel.
Mahesh Kumar Mulimani, Alok Ranjan Nayak, Rahul Pandit   +2 more
doaj   +1 more source

Determining of precipitation probabilities for İzmir by Markov model

, 2003
Bu çalışmada, İzmir ili için geleceğe yönelik yıllık yağış olasılıklarının tahmin edilmesi amacıyla bir Markov Zinciri Modeli kurulmuştur. Modelin kurulmasında 42 yıllık (1960-2001) yağış verilerinden yararlanılmıştır.
Murat Kılıç, Mustafa Özgürel
core  

AC-HMM: azimuth-constrained hidden Markov model-based map matching for robust pedestrian positioning in urban canyons

Geo-spatial Information Science
Location-Based Services (LBS) have become integral to contemporary urban life, with Global Navigation Satellite System (GNSS) modules in smart devices serving as the primary geospatial data source.
Jingxian Wang, Ahmed Mansour, Mengyu Ding, Duojie Weng, Huan Luo, Wu Chen   +5 more
doaj   +1 more source

Free Energies from Dynamic Weighted Histogram Analysis Using Unbiased Markov State Model

, 2015
The weighted histogram analysis method (WHAM) is widely used to obtain accurate free energies from biased molecular simulations. However, WHAM free energies can exhibit significant errors if some of the biasing windows are not fully equilibrated.
Hummer, G. ; https://orcid.org/, Hummer, Gerhard, Edina Rosta, Rosta, E., Gerhard Hummer, Rosta, Edina   +5 more
core   +1 more source

Trajectory Learning Using HMM: Towards Surgical Robotics Implementation

Sensors
Autonomy represents one of the most promising directions in the future development of surgical robotics, and Learning from Demonstration (LfD) is a key methodology for advancing technologies in this field.
Juliana Manrique-Cordoba, Carlos Martorell-Llobregat, Miguel Ángel de la Casa-Lillo, José María Sabater-Navarro   +3 more
doaj   +1 more source

Vertical Motion Determined Using Satellite Altimetry and Tide Gauges

Terrestrial, Atmospheric and Oceanic Sciences, 2008
A robust method to estimate vertical crustal motions by combining geocentric sea level measurements from decadal (1992 - 2003) TOPEX/POSEIDON satellite altimetry and long-term (> 40 years) relative sea level records from tide gauges using a novel Gauss ...
Chung-Yen Kuo, C. K. Shum, Alexander Braun, Kai-Chien Cheng, and Yuchan Yi   +4 more
doaj   +2 more sources

Markov Model for Acute Hypertension Analysis

, 2020
Accurate determination of usual or average blood pressure (BP) is necessary for the assessment of risk for stroke and coronary heart disease. In this study, we provide a statistically based guide for using results of blood pressure monitoring to resolve ...
K Senthamarai Kannan, M Muthu Kumar
core  

Latent Markov Latent Trait Analysis for Exploring Measurement Model Changes in Intensive Longitudinal Data

, 2020
Drawing inferences about dynamics of psychological constructs from intensive longitudinal data requires the measurement model (MM)—indicating how items relate to constructs—to be invariant across subjects and time-points. When assessing subjects in their
De Roover, Kim, Vermunt, Jeroen K., Keijsers, Loes, Dermatology, Youth and Family, Vogelsmeier, Leonie V. D. E., Tilburg University   +6 more
core   +1 more source

Predicting the Number of Publications for Scholarly Networks

IEEE Access, 2018
Scholarly networks have attracted great attentions, such as scholarly impact evaluation, scholarly impact prediction, scholarly recommendation, co-author relationships analysis, and team identification.
Xiaomei Bai
doaj   +1 more source