Results 131 to 140 of about 63,948 (252)

Approximate Hidden Semi-Markov Models for Dynamic Connectivity Analysis in Resting-State fMRI [PDF]

, 2021
Mark Fiecas, Christian Coffman, Meng Xu, Timothy Hendrickson, Bryon A. Mueller, Bonnie Klimes‐Dougan, Kathryn R. Cullen   +6 more
openalex   +1 more source

Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model [PDF]

, 2005
T.V. Duong, Hung Bui, Dinh Phung, Svetha Venkatesh   +3 more
openalex   +1 more source

Target Location Method Based on Compressed Sensing in Hidden Semi Markov Model [PDF]

, 2022
Xin Tian, Guoliang Wei, Jianhua Wang
openalex   +1 more source

A Hidden Semi‐Markov Model with Duration‐Dependent State Transition Probabilities for Prognostics [PDF]

, 2014
Ning Wang, Shu-dong Sun, Zhi-qiang Cai, Shuai Zhang, Can Saygin   +4 more
openalex   +1 more source

Hidden Semi-Markov Models [PDF]

, 2018
openaire   +2 more sources

Unsupervised segmentation and clustering time series approach to Southern Africa rainfall regime changes

Geoscience Data Journal
Analysis of hydro‐climatological time series and spatiotemporal dynamics of meteorological variables has become critical in the context of climate change, especially in Southern African countries where rain‐fed agriculture is predominant.
Lovemore Chipindu, Walter Mupangwa, Isaiah Nyagumbo, Mainassara Zaman‐Allah   +3 more
doaj   +1 more source

Modeling Burst Error Processes in ITU-T G.hnem-Based PLC Systems: Noisy Indoor Environment Analysis Using a Generative Semi-Hidden Markov Model

IEEE Access
Power line communication (PLC) systems are essential for modern telecommunications, providing a cost-effective solution for data transmission over existing electrical wiring.
Akintunde Oluremi Iyiola, Theo G. Swart, Ayokunle Damilola Familua, Thokozani Shongwe   +3 more
doaj   +1 more source

Enhancing the accuracy of HMM-based conserved pathway prediction using global correspondence scores

BMC Bioinformatics, 2011
Background Comparative network analysis aims to identify common subnetworks in biological networks. It can facilitate the prediction of conserved functional modules across different species and provide deep insights into their underlying regulatory ...
Yoon Byung-Jun, Sahraeian Sayed, Qian Xiaoning   +2 more
doaj   +1 more source

Semi-automatic liver tumor segmentation with hidden Markov measure field model and non-parametric distribution estimation

, 2011
Yrjö Häme, Mika Pollari
openalex   +2 more sources

Homotopy-based semi-supervised Hidden Markov Models for sequence labeling [PDF]

, 2008
Gholamreza Haffari, Anoop Sarkar
openalex   +1 more source