Results 211 to 220 of about 14,201 (261)

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

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Exploring how deep learning decodes anomalous diffusion via Grad-CAM. [PDF]

Nat Commun
Bae J, Baek Y, Jeong H.
europepmc   +1 more source

Unfolded RPCA Network for Mitigating Inter-Transmitter Code Interference in MIMO PMCW Systems. [PDF]

Sensors (Basel)
Lee Y, Lee JH, Lee S.
europepmc   +1 more source

FSFT6mA: a feature-synthesis fine-tuning framework for DNA 6mA site prediction. [PDF]

Front Genet
Yu HJ, Zhang Y, Yu DJ, Zheng G.
europepmc   +1 more source

Artificial Intelligence for Tumor Tissue Detection in Stomach Cancer: A Retrospective Algorithm Development and Validation Study. [PDF]

J Clin Med
Karnaukhov N, Palumbo VD, Voloshin M, Mongolin A, Skvortsov A, Karimov A, Gorbachev Y, Abramov K, Zabruntseva A, Yakubovsky G, Asaturova A, Palicelli A, Khomeriki S, Khatkov I.   +13 more
europepmc   +1 more source

Development and evaluation of machine learning models for the detection of emergency department patients with opioid misuse from clinical notes. [PDF]

JAMIA Open
Shahid U, Parde N, Smith DL, Dickinson G, Bianco J, Thorpe D, Hota M, Afshar M, Karnik NS, Chhabra N.   +9 more
europepmc   +1 more source

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Braided convolutional codes

Proceedings. International Symposium on Information Theory, 2005. ISIT 2005., 2005
We present a new class of iteratively decodable turbo-like codes, called braided convolutional codes. Constructions and encoding procedures for tightly and sparsely braided codes are introduced. Sparsely braided codes exhibit good convergence behavior with iterative decoding, and a statistical analysis using Markov permutors shows that the free ...
Zhang, W., Lentmaier, M., Costello, Jr., D.,, Zigangirov, K. Sh.   +3 more
openaire   +2 more sources

On Convolutional Network Coding

2006 IEEE International Symposium on Information Theory, 2006
Convolutional network coding deals with the propagation of a message pipeline through a cyclic network. We formulate a convolutional network code by associating every pair of adjacent channels with a rational power series over the base field, called the local encoding kernel, and every channel with a concomitant global encoding kernel, which is a ...
Shuo-Yen Robert Li, Raymond W. Yeung
openaire   +1 more source

Complementary Convolutional Coding

2019 IEEE International Conference on Electro Information Technology (EIT), 2019
This paper presents a method of error control coding based on complementary convolutional codes. Complementary convolutional code is a block of convolutional codes and their complements. These code blocks are used to map a block of data and design coded modulation schemes. It is shown that multiple codes can be used simultaneously to improve the coding
Saleh Faruque, Rana Shaaban
openaire   +1 more source