Results 101 to 110 of about 241,122 (289)
How to detect the life cycle of technology in the domain of endoscopy based on the hidden Markov model [PDF]
کتابداری و اطلاعرسانی, 2017 Purpose: This study aimed to identify how to diagnose technology life cycle of endoscopy by using data patents and hidden Markov model. Methodology: This applied research was conducted through a descriptive approach using exploratory method.
Ali Mansoori +2 more
doaj
Consistent estimation of the filtering and marginal smoothing\n distributions in nonparametric hidden Markov models [PDF]
, 2015 Yohann de Castro +2 more
openalex +1 more source
iMetaOmics, EarlyView.Paradigm shift: PCR‐free methods reveal 6–15‐fold higher arbuscular mycorrhizal (AM) fungal abundance than metabarcoding, exposing systematic underestimation across decades of research. Predictive power: AM fungal abundance serves as a community‐level trait that predicts crop yield under drought conditions.
Peilin Chen, John W. Taylor, Cheng Gao
wiley +1 more source
Journal of Magnetic Resonance Imaging, EarlyView.ABSTRACT Background Intravoxel incoherent motion (IVIM) analysis of diffusion‐weighted MRI (DWI) provides microvascular perfusion and diffusion information. However, parameter estimation is limited by noise sensitivity, variability across fitting methods, and lack of standardization.
Misha P. T. Kaandorp +3 more
wiley +1 more source
Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
Genetics and Molecular Biology, 2003 Dependencies in DNA sequences are frequently modeled using Markov models. However, Markov chains cannot account for heterogeneity that may be present in different regions of the same DNA sequence.
Silva Cibele Q. da
doaj
Two General Architectures for Intelligent Machine Performance Degradation Assessment
Shock and Vibration, 2015 Markov model is of good ability to infer random events whose likelihood depends on previous events. Based on this theory, hidden Markov model serves as an extension of Markov model to present an event from observations rather than states in Markov model.
Yanwei Xu, Aijun Xu, Tancheng Xie
doaj +1 more source
Dissecting unsupervised learning through hidden Markov modelling in electrophysiological data [PDF]
, 2023 Laura Masaracchia +3 more
openalex +1 more source
Embracing Creative Nonconformists and Promoting Them May Require Leaders' High Control Appraisals
Journal of Organizational Behavior, EarlyView.ABSTRACT Promoting creative employees is essential to innovation and organizational success. However, leaders do not always embrace the nonconformist nature of creative behaviors. This study examines how leaders' control appraisals—a personal orientation reflecting their belief in their own ability to control situations—influence their receptiveness ...
Xue Peng, Wen Cheng, Man‐Nok Wong
wiley +1 more source
Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data
International Journal of Climatology, EarlyView.There is the question of whether climate change, expressed by time‐trends in temperature, is of a heterogeneous nature or not. Here, the time‐trend heterogeneity argument has been investigated using Hidden Markov (HM) quantile time‐trends models in temperature time series.
Georgios Tsiotas +2 more
wiley +1 more source
How many cartels are there? The answer is important in assessing the need for competition policy. We present a Hidden Markov Model that answers the question, taking into account that often we do not know whether a cartel exists in an industry or not.
Hyytinen, Ari +2 more
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