Results 221 to 230 of about 183,434 (340)

Iterative Detection of Pre-coded OFDM Combined with Convolutional Code

, 2010
Hiroaki Miyasaka, Yoko Masuda, Kohei Ohno, Masahiro Fujii, Makoto Itami   +4 more
openalex   +2 more sources

Network intrusion detection using a hybrid graph-based convolutional network and transformer architecture. [PDF]

PLoS One
Appiahene P, Berchie SO, Botchway E, Ayitey MJ, Dawson JK, Mettle HN, Afrifa S.   +6 more
europepmc   +1 more source

A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images

Advanced Intelligent Systems, EarlyView.
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai, Li Li, Shanqing Zhang, Ting Luo, Chin‐Chen Chang   +4 more
wiley   +1 more source

Dual-branch differential channel hypergraph convolutional network for human skeleton based action recognition. [PDF]

PLoS One
Chen D, She K, Wu P, Chen M, Li C.
europepmc   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

Attribute knowledge and KBGAT for predicting the accuracy of the harmonized system code for classifying import and export commodities. [PDF]

Sci Rep
Qi L, Zhang Q, Lin X, Zhang J, Liao M.
europepmc   +1 more source

Disentangling Coincident Cell Events Using Deep Transfer Learning and Compressive Sensing

Advanced Intelligent Systems, EarlyView.
Overlapping cells during detection distort single‐cell measurements and reduce diagnostic accuracy. A hybrid framework combining a fully convolutional neural network with compressive sensing to disentangle overlapping signals directly from raw time‐series data is presented.
Moritz Leuthner, Rafael Vorländer, Oliver Hayden   +2 more
wiley   +1 more source

Wordsworth: A generative word dataset for comparison of speech representations in humans and neural networks. [PDF]

Sci Data
Zhu Y, Grier C, Garcia A, Pearson D, Gibson C, Schwartz O, Dykstra AR.   +6 more
europepmc   +1 more source

A Generalizable Transformer Framework for Gene Regulatory Network Inference from Single‐Cell Transcriptomes

Advanced Intelligent Systems, EarlyView.
FTGRN introduces an LLM‐enhanced framework for gene regulatory network inference through a two‐stage workflow. It combines a Transformer‐based model, pretrained on GPT‐4 derived gene embeddings and regulatory knowledge, with a fine‐tuning stage utilizing single‐cell RNA‐seq data.
Guangzheng Weng, Hyobin Kim, Patrick Martin, Junil Kim, Tae‐Hyung Kim, Gi‐Hoon Nam, Dongha Kim, Kyoung Jae Won   +7 more
wiley   +1 more source

Dual convolutional codes and the MacWilliams identities

, 2012
Irina E. Bocharova, F. Hug, Rolf Johannesson, Boris D. Kudryashov   +3 more
openalex   +2 more sources