Results 111 to 120 of about 245,006 (326)

Geometry-Based Stochastic Modeling for MIMO Channel in High-Speed Mobile Scenario

International Journal of Antennas and Propagation, 2012
The geometry-based stochastic channel models are proposed in this paper for the terrain cutting, suburb, and urban scenarios in high-speed railway. First, the special scenarios in high-speed railway are described.
Binghao Chen, Zhangdui Zhong
doaj   +1 more source

Stochastic Geometry and Wireless Networks: Volume I Theory [PDF]

, 2009
François Baccelli
openalex   +1 more source

Toward Advancement of Fabrication Techniques of Neuromorphic Computing Devices Based on 2D Materials

Advanced Materials Technologies, EarlyView.
This review highlights emerging fabrication techniques of 2D material‐based neuromorphic devices, emphasizing proximity vapor transfer for bioinspired optoelectronic applications. Abstract The growing necessity for power‐efficient and cognitive computation mechanisms has driven progress in neuromorphic computing which seeks to imitate the synaptic ...
Shubham Umeshkumar Gupta, Malkeshkumar Patel, Naveen Kumar, László Pohl, Min‐Joon Park, Sung‐Min Youn, Chaewhan Jeong, Joondong Kim   +7 more
wiley   +1 more source

A Review of Perfect Simulation in Stochastic Geometry

, 2001
We provide a review and a unified exposition of the Propp-Wilson algorithm and various other algorithms for making perfect simulations with a view to applications in stochastic geometry. Most examples of applications are for spatial point processes.
openaire   +5 more sources

Machine Learning‐Based Optimization of Pixel Light Intensities for Improving Polymerization Accuracy in Digital Light Processing 3D Printing

Advanced Materials Technologies, EarlyView.
A machine learning platform is developed to optimize sliced images for digital light processing 3D printing by locally tuning light intensity for higher precision printing. A reduced‐order model accurately predicts the degree of conversion in 3D space to calculate resulting shapes.
Teerapong Poltue, Stuart Macrae Montgomery, Xiaohao Sun, Chao Zhang, Frédéric Demoly, Kun Zhou, H. Jerry Qi   +6 more
wiley   +1 more source

Correlative Super‐Resolution Imaging of Cellular Nanopores Facilitated by Transparent Polymer Waveguide Chips

Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
Correlative super‐resolution optical imaging of the ultrastructure of rat liver sinusoidal endothelial cells (LSECs) across a large field of view (FOV) with 3D structured illumination microscopy (3D‐SIM) and single‐molecule localization microscopy (SMLM), facilitated by a transparent polymer photonic waveguide chip, is presented.
Surjendu Bikash Dutta, Jasmin Celine Schürstedt‐Seher, Anders Kokkvoll Engdahl, Wolfgang Hübner, Stefan Belle, Karolina Szafranska, Peter McCourt, Ralf Hellmann, Mark Schüttpelz, Thomas Huser   +9 more
wiley   +1 more source

Local Central Limit Theorems in Stochastic Geometry [PDF]

, 2011
Mathew D. Penrose, Yuval Peres
openalex   +1 more source

Review of Coherent Anti‐Stokes Raman Scattering Nonresonant Background Removal and Phase Retrieval Approaches: From Experimental Methods to Deep Learning Algorithms

Advanced Photonics Research, EarlyView.
Coherent anti‐stokes Raman spectroscopy (CARS) enables high‐resolution vibrational imaging, yet non‐resonant background (NRB) distorts spectral fidelity. This review highlights NRB removal methods—from experimental strategies and numerical algorithms to emerging deep learning techniques.
Rajendhar Junjuri, Thomas Bocklitz
wiley   +1 more source

Summary of high field diffusion MRI and microscopy data demonstrate microstructural aberration in chronic mild stress rat brain

Data in Brief, 2016
This data article describes a large, high resolution diffusion MRI data set from fixed rat brain acquired at high field strength. The rat brain samples consist of 21 adult rat brain hemispheres from animals exposed to chronic mild stress (anhedonic and ...
Ahmad Raza Khan, Andrey Chuhutin, Ove Wiborg, Christopher D Kroenke, Jens R. Nyengaard, Brian Hansen, Sune Nørhøj Jespersen   +6 more
doaj  

Universal vortex statistics and stochastic geometry of Bose-Einstein condensation

Physical Review Research
The cooling of a Bose gas in finite time results in the formation of a Bose-Einstein condensate that is spontaneously proliferated with vortices. We propose that the vortex spatial statistics is described by a homogeneous Poisson point process (PPP) with
Mithun Thudiyangal, Adolfo del Campo
doaj   +1 more source