Results 111 to 120 of about 1,492,451 (279)

Bayesian Learning-Assisted Compressive Sensing Improves Multi-Target Parameter Estimation in 5G-NR Inspired ISAC

open access: yesIEEE Open Journal of Vehicular Technology
Integrated sensing and communication (ISAC) has emerged as a key technology for 6G communication systems, enabling both spectrum and hardware sharing between radar and communication systems.
Prabhanshu Yadav   +3 more
doaj   +1 more source

Clustered Compressive Sensing: Application on Medical Imaging [PDF]

open access: yes, 2014
his paper provides clustered compressive sensing (CCS) based image processing using Bayesian framework applied to medical images. Some images, for example like magnetic resonance images (MRI) are usually very weak due to the presence of noise and due to ...
Tesfamicael, Solomon Abedom   +1 more
core   +1 more source

LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides

open access: yesAdvanced Science, EarlyView.
An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu   +9 more
wiley   +1 more source

Simultaneous Bayesian Compressive Sensing And Blind Deconvolution

open access: yes, 2012
Publication in the conference proceedings of EUSIPCO, Bucharest, Romania ...
Leonidas Spinoulas   +4 more
openaire   +3 more sources

A Hierarchical Bayesian Model for Frame Representation [PDF]

open access: yes, 2010
In many signal processing problems, it is fruitful to represent the signal under study in a frame. If a probabilistic approach is adopted, it becomes then necessary to estimate the hyperparameters characterizing the probability distribution of the frame
Amel Benazza-Benyahia   +9 more
core   +1 more source

Temporally Correlated Stochastic Spiking Neural Networks Enabled by 2D Ferroelectric Synapse‐Neuron Integration

open access: yesAdvanced Science, EarlyView.
We demonstrate a stochastic spiking neural network by integrating an α‐ln2Se3/h‐BN/CIPS FeFET synapse with an Au/CIPS/Au neuron. Unlike conventional memoryless stochastic neurons, the proposed neuron generates stochastic spikes through the evolution of internal ferroelectric polarization states, giving rise to intrinsic temporal correlations and ...
Hanseo Jeon   +7 more
wiley   +1 more source

Precision Nanomedicine for Traumatic Neural Injury: Functional Paradigms and Translational Frameworks

open access: yesAdvanced Science, EarlyView.
This review presents a pathology‐driven framework unifying nanomedicine across TBI, SCI, and PNI. Epidemiological evidence and comparative single‐cell transcriptomic reanalysis define shared pathological modules, injury‐specific effectors, and therapeutic bottlenecks. Six functional paradigms connect nanomaterial structure and biological fate to injury‐
Mouyuan Sun   +12 more
wiley   +1 more source

EDICS: DSP-RECO Bayesian Compressive Sensing

open access: yes, 2008
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be reconstructed accurately using only a small number M ≪ N of basis-function ...
Ya Xue, Shihao Ji, Lawrence Carin
core  

Data‐Driven and Physics‐Informed Modeling Perspectives for Soft Manipulators: From SINDy to Hybrid Intelligence

open access: yesAdvanced Science, EarlyView.
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui   +4 more
wiley   +1 more source

Pilot-Assisted Underwater Acoustic Channel Estimation for MIMO OFDM Systems Using Sparse Bayesian Learning Algorithm

open access: yesInternational Maritime Transport and Logistic Journal
The field of underwater acoustic communication (UWA) has many industrial and maritime applications. This study focuses on cutting-edge channel estimation algorithms for UWA communications based on compressed sensing (CS).
Asmaa Yahia, Eman Hamdan
doaj   +1 more source

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