Results 51 to 60 of about 22,384 (303)
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Adaptive Markov Random Fields for Example-Based Super-resolution of Faces
EURASIP Journal on Advances in Signal Processing, 2006 Image enhancement of low-resolution images can be done through methods such as interpolation, super-resolution using multiple video frames, and example-based super-resolution.
Stephenson Todd A, Chen Tsuhan
doaj +1 more source
COMBINE MARKOV RANDOM FIELDS AND MARKED POINT PROCESSES TO EXTRACT BUILDING FROM REMOTELY SENSED IMAGES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Automatic building extraction from remotely sensed images is a research topic much more significant than ever. One of the key issues is object and image representation.
D. Chai, W. Förstner, M. Ying Yang
doaj +1 more source
CLTs and asymptotic variance of time-sampled Markov chains [PDF]
, 2011 For a Markov transition kernel P and a probability distribution μ on nonnegative integers, a time-sampled Markov chain evolves according to the transition kernel Pμ = Σkμ(k)Pk.
Łatuszyński, Krzysztof +3 more
core +1 more source
Super‐Resolution Ultrasound Based Cell Tracking With Polymeric Nanobubbles
Advanced Materials, EarlyView.This study presents a super‐resolution ultrasound platform for tracking cells in vivo. Biocompatible polymeric nanobubbles are used as highly echogenic intracellular labels. Following the injection of cells and microbubbles, ultrasound localization microscopy (ULM) can dynamically match the microvascular architecture and individual cell trajectories ...
Junlin Chen +19 more
wiley +1 more source
LifeAtherosclerosis, a leading cause of cardiovascular disease, necessitates advanced and innovative modeling techniques to better understand and predict plaque dynamics.
Amun G. Hofmann
doaj +1 more source
Learning Traffic Flow Dynamics Using Random Fields
IEEE Access, 2019 This paper presents a mesoscopic traffic flow model that explicitly describes the spatio-temporal evolution of the probability distributions of vehicle trajectories.
Saif Eddin G. Jabari +3 more
doaj +1 more source
On the estimation of Markov random field parameters [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999 We examine the histogram method for estimating the parameters associated with a Markov random field. This method relies on the estimation of the local interaction sums from histogram data. We derive an estimator for these quantities that is optimal in a well-defined sense.
openaire +2 more sources
A Framework for Satellite Image Classification in the Context of Crisis Mapping Using Markov Random Fields [PDF]
, 2010 In this contribution a framework for classification of high resolution optical satellite images in the context of crisis mapping is proposed and evaluated. Multiscale image information (data model) as well as hierarchical and spatial context information (
Kersten, Jens, Gähler, Monika
core
Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source