Results 61 to 70 of about 6,719 (190)
Jixie qiangdu, 2017 With the continuous improvement requirements of reliability and security for mechanical equipment,accurate extraction of equipment fault development trend of degradation characteristic information and establishment of effective fault prediction model is ...
JI Yun +3 more
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Quantized
IEEE Access, 2020 This paper concerns the quantized H∞ feedback control problem for a class of semi-Markov jump systems with limited mode information. In networked control loop, the network-induced phenomenon limits the accuracy of the signal transmission. The mode
Ming Xu +3 more
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SMCis: An Effective Algorithm for Discovery of Cis-Regulatory Modules. [PDF]
PLoS ONE, 2016 The discovery of cis-regulatory modules (CRMs) is a challenging problem in computational biology. Limited by the difficulty of using an HMM to model dependent features in transcriptional regulatory sequences (TRSs), the probabilistic modeling methods ...
Haitao Guo, Hongwei Huo, Qiang Yu
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IEEE Access, 2022 Tool wear can cause dimensional accuracy and poor surface quality in milling process. During the operation of tool wear, it can also cause breakage and damage of the workpieces.
Muquan Lin +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
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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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
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
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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
Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes
International Statistical Review, EarlyView.Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh +3 more
wiley +1 more source