Results 71 to 80 of about 43,821 (259)

Packets flow watermarking method based on the inter-packet delay with smooth crossed grouping

Tongxin xuebao, 2017
To improve the self-correction ability and resist the entropy-based detection,a flow watermarking approach based on the inter-packets delays with smooth crossed grouping was proposed.Such an approach extended the watermarking methods using both the ...
Hua JIN, Hui ZHU, Chang-da WANG
doaj  

An Over-the-Air Multi-User Convolutional Code for URLLC

IEEE Open Journal of the Communications Society
URLLC applications impose stringent latency and reliability requirements, making its compliance challenging due to the inherent trade-off between them. These applications typically involve the exchange of small information blocks. Convolutional codes (CC)
Rafael Santos, Daniel Castanheira, Adao Silva, Atilio Gameiro   +3 more
doaj   +1 more source

Feedback equivalence of convolutional codes over finite rings

Open Mathematics, 2017
The approach to convolutional codes from the linear systems point of view provides us with effective tools in order to construct convolutional codes with adequate properties that let us use them in many applications.
DeCastro-García Noemí
doaj   +1 more source

vEMRec: High‐Resolution Volume Electron Microscopy Reconstruction Based on Structure‐Preserving and High‐Fidelity 3D Alignment

Advanced Science, EarlyView.
vEMRec is a frequency‐adaptive computational framework for three‐dimensional alignment in volume electron microscopy. It integrates feature‐based rigid alignment with Gaussian filter‐guided elastic registration to correct rigid misalignments and nonlinear distortions while preserving structural fidelity.
Zhenbang Zhang, Hongjia Li, Zhongjun Yang, Zhiqiang Xu, Duanchen Sun, Xin Gao, Fa Zhang, Renmin Han   +7 more
wiley   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

CORRECTION OF DEPENDENT ERRORS BY THE TURBOcodec based ON ATTACHED evenly convolutional codes

Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019
The organization methods of dependent (packet) error correction by the turbocodecs based both on a sub systematic convolutional codes with uniform threshold decoding algorithm and recursive systematic convolutional codes are considered. The effectiveness
E. G. Makeichik, A. I. Korolev, V. K. Kanapelka   +2 more
doaj  

High‐Resolution Multispectral Photovoltaic Imagers from Visible to Short‐Wave Infrared

Advanced Science, EarlyView.
We demonstrate a monolithic quad‐spectral imager that seamlessly integrates visible and short‐wave infrared detection on a single chip. Through direct photopatterning of an all‐polymer bulk heterojunction and colloidal quantum dots, the device achieves high‐resolution (640 × 512) imaging across 350–2400 nm, enabling multispectral capture for ...
Wanqing Li, Cheng Bi, Min He, Xiaolong Zheng, Yuning Luo, Yimei Tan, Chenxi Liu, Salihuojia Talanti, Yanfei Liu, Ge Mu, Qun Hao, Kangkang Weng, Xin Tang   +12 more
wiley   +1 more source

Malicious Code Detection Method Based on Hybrid Quantum Convolutional Neural Network [PDF]

Jisuanji kexue
Quantum computing is a new computing model based on quantum mechanics,with powerful parallel computing capabi-lity far beyond classical computing.Hybrid quantum convolutional neural network combines the dual advantages of quantum computing and classical ...
XIONG Qibing, MIAO Qiguang, YANG Tian, YUAN Benzheng, FEI Yangyang
doaj   +1 more source

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface

Advanced Science, EarlyView.
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley   +1 more source

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source