Results 101 to 110 of about 7,217 (228)

Performance Analyses and Improvements for IEEE 802.15.4 CSMA/CA Scheme in Wireless Multihop Sensor Networks Based on HTC Algorithm

International Journal of Distributed Sensor Networks, 2013
Most of analyses for the IEEE 802.15.4 Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) scheme for multi-hop wireless sensor networks (WSNs) focus on how to avoid the impacts of hidden terminal problems rather than how to derive the exact
Jianping Zhu, Chunfeng Lv, Zhengsu Tao
doaj   +1 more source

A Hidden Semi-Markov Model based approach for rehabilitation exercise assessment

Journal of Biomedical Informatics, 2018
In this paper, a Hidden Semi-Markov Model (HSMM) based approach is proposed to evaluate and monitor body motion during a rehabilitation training program. The approach extracts clinically relevant motion features from skeleton joint trajectories, acquired by the RGB-D camera, and provides a score for the subject's performance.
Capecci, Marianna, Ceravolo, Maria Gabriella, Ferracuti, Francesco, Iarlori, Sabrina, Kyrki, Ville, Monteriù, Andrea, Romeo, Luca, Verdini, Federica   +8 more
openaire   +4 more sources

Unsupervised hidden semi-Markov model for automatic beat onset detection in 1D Doppler ultrasound. [PDF]

Physiol Meas, 2020
Katebi N, Marzbanrad F, Stroux L, Valderrama CE, Clifford GD.   +4 more
europepmc   +1 more source

A Reinforcement Learning Algorithm Using Multi-Layer Artificial Neural Networks for Semi-Markov Decision Problems

Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2013
Real life problems are generally large-scale and difficult to model. Therefore, these problems can't be mostly solved by classical optimisation methods. This paper presents a reinforcement learning algorithm using a multi-layer artificial neural network ...
Mustafa Ahmet Beyazıt Ocaktan, Ufuk Kula   +1 more
doaj   +1 more source

Nonhomogeneous hidden semi-Markov models for toroidal data

Journal of the Royal Statistical Society Series C: Applied Statistics
Abstract A nonhomogeneous hidden semi-Markov model is proposed to segment bivariate time series of wind and wave directions according to a finite number of latent regimes and, simultaneously, estimate the influence of time-varying covariates on the process’ survival under each regime.
Francesco Lagona, Marco Mingione
openaire   +4 more sources

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

, 2020
Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon   +7 more
openalex   +2 more sources

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

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

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