Results 221 to 230 of about 1,103,393 (348)
Mind captioning: Evolving descriptive text of mental content from human brain activity. [PDF]
Horikawa T.
europepmc +1 more source
Improved Reliability-Based Iterative Decoding of LDPC Codes Based on Dynamic Threshold [PDF]
Zhuo Ma, Du Shuanyi
openalex +1 more source
Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models
Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses +3 more
wiley +1 more source
Enhancing Scene Text Recognition with Encoder-Decoder Interactive Model. [PDF]
Mu Y, Maimaiti M, Xu M, Li W, Silamu W.
europepmc +1 more source
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
RC-LDPC-Polar Codes for Information Reconciliation in Continuous-Variable Quantum Key Distribution. [PDF]
Hua F +5 more
europepmc +1 more source
Iterative List-Decoding of Gabidulin Codes via Gröbner Based Interpolation [PDF]
Margreta Kuijper, Anna-Lena Trautmann
openalex +1 more source
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang +4 more
wiley +1 more source
Layered HARQ Design for LDPC-Based Multi-Level Coded Modulation. [PDF]
Wei Y, Chen Y, Chen C, Xia B, Wang L.
europepmc +1 more source
Iterative decoding of product codes
Iterative decoding of block codes is a rather old subjectthat regained much interest recently. The main idea behinditerative decoding is to break up the decoding problem into asequence of stages, iterations, such that each stage utilizesthe output from the previous stages to formulate its ownresult.
openaire +1 more source

