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

