Results 81 to 90 of about 2,720,483 (215)

Efficient Computation of EXIT Functions for Nonbinary Iterative Decoding

, 2006
The calculation of nonbinary extrinsic information transfer charts for the iterative decoding of concatenated index-based codes is addressed. We show that the extrinsic information at the output of a constituent a posteriori probability decoder can be ...
Ng, S.X, Kliewer, Jorg, Hanzo, L
core   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li, Xiaolin Liu, Fei Wang, Yan Xiong, Yu Chen, Yan Zhao   +5 more
wiley   +1 more source

SubDIVIDE: Efficient tensor‐valued diffusion magnetic resonance imaging via joint diffusional variance decomposition modeling and subspace reconstruction

Journal of Intelligent Medicine, EarlyView.
SubDIVIDE integrates a physics‐consistent DIVIDE subspace directly into MRI reconstruction. By embedding a low‐rank basis derived from a large DIVIDE signal dictionary into a joint ADMM optimization—together with composite sensitivity maps that absorb inter‐b‐value phase errors—the framework recovers quantitative microstructural maps from highly ...
Cheng Yang, Jingguo Yan, Zihan Zhou, Zhong Xue, Qiuyun Fan   +4 more
wiley   +1 more source

Interleaved Diffractive Networks for Information Transfer Through Random Diffusers

Laser &Photonics Reviews, EarlyView.
This work presents a cascaded diffractive optical network that enables information transfer through random, unknown diffusers using passive, interleaved structured layers that mitigate scattering without digital computation. A hybrid optical‐digital version further improves robustness and reconstruction fidelity under distortions, with both simulations
Yuhang Li, Yiyang Wu, Shiqi Chen, Xilin Yang, Aydogan Ozcan   +4 more
wiley   +1 more source

Fast Reconstruction of Motion‐Corrupted Data With Mobile‐GRAPPA: Motion and δB0$$ \delta {B}_0 $$ Inhomogeneity Correction Leveraging Efficient GRAPPA

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an accurate and computationally efficient motion‐corrected MRI reconstruction framework that incorporates hundreds to thousands of motion and δB0$$ \delta {B}_0 $$ estimates from high‐temporal‐resolution tracking. Methods We propose Mobile‐GRAPPA, a k‐space preprocessing approach that uses MLP‐parameterized local GRAPPA ...
Yimeng Lin, Nan Wang, Daniel Abraham, Daniel Polak, Xiaozhi Cao, Aizada Nurdinova, Stephen Cauley, Kawin Setsompop   +7 more
wiley   +1 more source

An Inline‐Integrable Image Restoration Model With ROI Fine‐Tuning and Slice‐to‐Volume Reconstruction for Accelerated Whole‐Brain Vessel Wall Imaging

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a vessel wall imaging (VWI)‐dedicated image restoration model enabling high‐resolution whole‐brain VWI in under 6 min. Methods A transformer‐based 2.5D model was trained in a supervised manner to enhance the image quality of CAIPIRINHA 2 × 2‐accelerated VWI acquisitions to a level comparable to that of GRAPPA twofold ...
Pengcheng Wang, Jingxiang Zhang, Jiayu Xiao, Junzhou Chen, Zhenjia Wang, Jin Li, Qingle Kong, Steven Y. Cen, Sophia X. Cui, Yifei Zhang, Wei Yu, Qi Yang, Nasim Sheikh‐Bahaei, William J. Mack, Zhaoyang Fan   +14 more
wiley   +1 more source

Space-Time Block Coded Adaptive Modulation Aided OFDM

, 2001
Space-time block codes provide substantial diversity advantages for multiple transmit antenna systems at a low decoding complexity. In this contribution, we investigate the achievable diversity advantages in the context of adaptive modulation aided turbo
Liew, T.H., Hanzo, L.
core   +1 more source

Machine Learning for Thermodynamic States of Notional Nonideal Energetic Mixtures

Propellants, Explosives, Pyrotechnics, EarlyView.
. ABSTRACT Currently, modeling the thermodynamic states in the reaction zone of a detonating energetic mixture entails iteratively solving a set of coupled differential equations that require detailed material property information or models whose empirical parameters must be physically measured.
Sangeeth Balakrishnan, Jesse Hearn, Francis G. VanGessel, Brian C. Barnes, Ruth Doherty, William Wilson, Ryan Ciufo, Peter W. Chung   +7 more
wiley   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

Practically Error‐Free Junctions Enable Solving Large Instances of Exact Cover Problems Using Network‐Based Biocomputation

Small, EarlyView.
Scaling nanofluidic channel geometries to sub‐200 nm is demonstrated to suppress junction guiding errors in network‐based biocomputing. The resulting increase in path fidelity enables experimental solution of Exact Cover instances with more than 33 million possible solutions, establishing a new benchmark for network‐based biocomputing. ABSTRACT Network‐
Eugene Christo V R, Christoph Robert Meinecke, Bert Nitzsche, Roman Lyttleton, Cordula Reuther, Danny Reuter, Heiner Linke, Till Korten, Stefan Diez   +8 more
wiley   +1 more source