Results 61 to 70 of about 15,456,603 (251)
Automatic and Accurate Measurement of High Precision Thread Based on AA R2Unet and HMM
The thread measurement methods based on machine vision are easily disturbed by the environment(e.g. dust,iron filings, oil stains, etc.), resulting in inaccurate measurement results. This paper improves the R2 Unet model by adding the Attention mechanism,
ZHANG Kun +4 more
doaj +1 more source
Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang +4 more
wiley +1 more source
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang +8 more
wiley +1 more source
Application of Markov Model to Estimate Individual Condition Parameters for Transformers
This paper presents a study to estimate individual condition parameters of the transformer population based on Markov Model (MM). The condition parameters under study were hydrogen (H2), methane (CH4), acetylene (C2H2), ethylene (C2H4), ethane (C2H6 ...
Amran Mohd Selva +6 more
doaj +1 more source
Early evolution of the gular musculature and its innervation in ray‐finned fishes
Abstract Gular muscles are an important but often overlooked component of cranial anatomy in bony fishes. They are located on the ventral surface of the head and are derived from the mandibular and hyoid arches. We present a comprehensive review of the gular musculature and its innervation across early diverging actinopterygian lineages. By integrating
Aléssio Datovo +4 more
wiley +1 more source
Bayesian inference for Hidden Markov Model [PDF]
Hidden Markov Models can be considered an extension of mixture models, allowing for dependent observations. In a hierarchical Bayesian framework, we show how Reversible Jump Markov Chain Monte Carlo techniques can be used to estimate the parameters of ...
Luisa Scaccia, Rosella Castellano
core
Tracheal chambers as a key innovation for high‐frequency emission in bat echolocation
Abstract Key innovations are pivotal for biodiversity and facilitating evolutionary success, enabling organisms' adaptation to various ecological niches through the diversification of phenotypic traits. In mammals, notable adaptations include evolving hypsodonty for grazing on grasses and, for bats, evolving echolocation and wing acquisition.
Nicolas L. M. Brualla +7 more
wiley +1 more source
Background Health economic evaluations of interventions in infectious disease are commonly based on the predictions of ordinary differential equation (ODE) systems or Markov models (MMs).
Katrin Haeussler +2 more
doaj +1 more source
We compare and contrast the excitation properties of cardiac myocytes and cardiac tissue modeled by (a) a Hodgkin-Huxley-model (HHM) and (b) Markov-chain-model (MM) formalisms for the sodium (Na) ion channel.
Mahesh Kumar Mulimani +2 more
doaj +1 more source
A structural Time Series Model with Markov Switching. [PDF]
We propose an innovations form of the structural model underlying exponential smoothing that is further augmented by a latent Markov switching process.
Shami, R.G., Forbes, C.S.
core

