Results 71 to 80 of about 8,159 (239)
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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Brain–Computer Interfaces: The Dawn of a New Era in Disease Treatment
Exploration, EarlyView.This study investigates the potential of brain–computer interface (BCI) technology in treating neuropsychiatric disorders, such as movement and communication barriers. Our review examines the history, signal paradigms, and diverse applications of BCI while also discussing ongoing research into novel materials and emerging technologies that offer ...
Yuqi Feng +11 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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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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Mathematical Methods in the Applied Sciences, EarlyView.We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Estimating hidden semi-Markov chains from discrete sequences.
, 2003 International audienceThis article addresses the estimation of hidden semi-Markov chains from nonstationary discrete sequences. Hidden semi-Markov chains are particularly useful to model the succession of homogeneous zones or segments along sequences.
Guédon, Yann
core +1 more source
IEEE Access, 2020 In this paper, we design a mathematical model for performance and reliability evaluation of the IEEE 802.11p Enhanced Distributed Channel Access (EDCA) broadcast scheme in Dedicated Short-Range Communication (DSRC) with the presence of hidden terminals ...
Lin Hu, Zhijian Dai
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Optimal Detection and Error Exponents for Hidden Semi-Markov Models [PDF]
IEEE Journal of Selected Topics in Signal Processing, 2018 We study detection of random signals corrupted by noise that over time switch their values (states) between a finite set of possible values, where the switchings occur at unknown points in time. We model such signals as hidden semi-Markov signals (HSMS), which generalize classical Markov chains by introducing explicit (possibly non-geometric ...
Dragana Bajovic +4 more
openaire +3 more sources
Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning
SmartBot, EarlyView.Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo +2 more
wiley +1 more source
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
doaj +1 more source