Results 71 to 80 of about 7,217 (228)
Structural Concrete, EarlyView.Abstract Our generation inherits this cultural heritage of historic material and historic reinforced concrete structures and thus bears a certain responsibility to preserve these historic buildings with the help of the new technologies of lifetime management, conservation concepts and the new digitalization as well as the emerging safety concepts of ...
A. Strauss
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Finite-Time Asynchronous H∞ Control for Non-Homogeneous Hidden Semi-Markov Jump Systems
MathematicsThis article explores the finite-time control problem associated with a specific category of non-homogeneous hidden semi-Markov jump systems. Firstly, a hidden semi-Markov model is designed to characterize the asynchronous interactions that occur between
Qian Wang +3 more
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Unsupervised Work Behavior Pattern Extraction Based on Hierarchical Probabilistic Model
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.In this study, we address the challenge of analyzing worker behaviors in high‐mix, low‐volume production environments, where traditional supervised learning methods struggle owing to the lack of labeled data and task variability among workers. To overcome these issues, we propose a novel hierarchical approach for unsupervised behavior pattern ...
Issei Saito +5 more
wiley +1 more source
Design of Abnormal Heart Sound Recognition System Based on HSMM and Deep Neural Network
Medical Devices: Evidence and Research, 2022 Hai Yin,1 Qiliang Ma,2 Junwei Zhuang,1 Wei Yu,1 Zhongyou Wang3 1School of Biomedical Engineering and Medical Imaging, Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People’s Republic of China; 2School of ...
Yin H, Ma Q, Zhuang J, Yu W, Wang Z
doaj
Route Restoring Based on Hidden Semi-Markov Model
Advances in Intelligent Systems Research, 2014 Present raw geo-tagged photo routes cannot provide information as enough as complete GPS trajectories due to the defects hidden in them. This paper mainly aims at analyzing the large amounts of geo-tagged photos and proposing a novel travel route restoring method. In our approach we apply the Hidden SemiMarkov model and Mean Value method to demonstrate
Zhenmin Zhu, Jian Ye, Guannan Wang
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Global Policy, EarlyView.ABSTRACT Lethal Autonomous Weapons Systems (LAWS) have the potential to dramatically alter modern warfare and reshape global power differentials. Despite the strong rationale for negotiating global rules, consensus on whether and how to regulate LAWS has yet to be reached.
Johannes Geith
wiley +1 more source
Learning Controllers for Reactive and Proactive Behaviors in Human-Robot Collaboration
Frontiers in Robotics and AI, 2016 Designed to safely share the same workspace as humans and assist them in a variety of tasks, the new collaborative robots are targeting manufacturing and service applications that once were considered unattainable.
Sylvain eCalinon +3 more
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Decoding Chinese stock market returns: Three-state hidden semi-Markov model [PDF]
Pacific-Basin Finance Journal, 2017 In this paper, we employ a three-state hidden semi-Markov model (HSMM) to explain the time-varying distribution of the Chinese stock market returns since 2005. Our results indicate that the time-varying distribution depends on the hidden states, which are represented by three market conditions, namely the bear, sidewalk, and bull markets.
Liu, Zhenya, Wang, Shixuan
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Plant pathogen profiling with the EpiPvr package
Methods in Ecology and Evolution, EarlyView.Abstract This study introduces a flexible framework for epidemiological profiling of insect‐borne plant pathogens (IBPPs), utilising readily available experimental data. The framework is applicable to most IBPPs transmitted by insects feeding on plant veins, with particular relevance to whitefly‐borne viruses that impact cassava production in sub ...
Ruairí Donnelly +2 more
wiley +1 more source
An Improved Fault Detection Method based on HSMM: Application to a Chemical Process
International Journal of Prognostics and Health ManagementThis paper proposes a fault detection method for multivariate statistical process control. The proposed method combines the Forward-Backward Hidden Semi-Markov Model (HSMM) and Principal Component Analysis (PCA). A stochastic automaton was used for multi-
Lestari Handayani +2 more
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