Results 51 to 60 of about 217,546 (313)

Unified quantum convolutional coding [PDF]

2008 IEEE International Symposium on Information Theory, 2008
We outline a quantum convolutional coding technique for protecting a stream of classical bits and qubits. Our goal is to provide a framework for designing codes that approach the ``grandfather'' capacity of an entanglement-assisted quantum channel for sending classical and quantum information simultaneously.
Mark M. Wilde, Todd A. Brun
openaire   +4 more sources

Applications of Convolutional Codes to DNA Codes and Error-Correction [PDF]

arXiv, 2021
Convolutional codes are error-correcting linear codes that utilize shift registers to encode. These codes have an arbitrary block size and they can incorporate both past and current information bits. DNA codes represent DNA sequences and are defined as sets of words comprised of the alphabet A, C, T, G satisfying certain mathematical bounds and ...
arxiv  

Human papillomavirus (HPV) prediction for oropharyngeal cancer based on CT by using off‐the‐shelf features: A dual‐dataset study

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background This study aims to develop a novel predictive model for determining human papillomavirus (HPV) presence in oropharyngeal cancer using computed tomography (CT). Current image‐based HPV prediction methods are hindered by high computational demands or suboptimal performance.
Junhua Chen, Yanyan Cheng, Lijun Chen, Banghua Yang   +3 more
wiley   +1 more source

On isometries for convolutional codes

Advances in Mathematics of Communications, 2009
In this paper we will discuss isometries and strong isometries for convolutional codes. Isometries are weight-preserving module isomorphisms whereas strong isometries are, in addition, degree-preserving. Special cases of these maps are certain types of monomial transformations.
openaire   +3 more sources

Open‐source deep‐learning models for segmentation of normal structures for prostatic and gynecological high‐dose‐rate brachytherapy: Comparison of architectures

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The use of deep learning‐based auto‐contouring algorithms in various treatment planning services is increasingly common. There is a notable deficit of commercially or publicly available models trained on large or diverse datasets containing high‐dose‐rate (HDR) brachytherapy treatment scans, leading to poor performance on images ...
Andrew J. Krupien, Yasin Abdulkadir, Dishane C. Luximon, John Charters, Huiming Dong, Jonathan Pham, Dylan O'Connell, Jack Neylon, James M. Lamb   +8 more
wiley   +1 more source

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du, Yongsu Ma, Kexin Wang, Xiejian Zhong, Jianxin Wang, Xiaodong Tian, Xiaoying Wang, Yinmo Yang   +7 more
wiley   +1 more source

Twin neural network regression

Applied AI Letters, Volume 3, Issue 4, December 2022., 2022
We propose to reformulate a regression problem into predicting differences between target values. This allows for leveraging consistency conditions which can be used as uncertainty estimates and enable the production of an ensemble of predictions while training only a single neural network.
Sebastian Johann Wetzel, Kevin Ryczko, Roger Gordon Melko, Isaac Tamblyn   +3 more
wiley   +1 more source

Analisis Unjuk Kerja Convolutional Code pada Sistem MIMO MC-DSSS Melalui Kanal Rayleigh Fading

Majalah Ilmiah Teknologi Elektro, 2017
Kombinasi antara sistem MIMO (multiple input multiple output), OFDM (orthogonal frequency division multiplexing), dan spread spectrum serta adanya teknik pengkodean kanal mampu mengurangi efek fading dan error yang terjadi. Penelitian ini bertujuan untuk
Kadek Agus Mahabojana Dwi Prayoga, Ni Made Ary Esta Dewi Wirastuti, I Gst A. Komang Diafari Djuni Hartawan   +2 more
doaj   +1 more source

Design and Performance of Rate-compatible Non-Binary LDPC Convolutional Codes [PDF]

, 2010
In this paper, we present a construction method of non-binary low-density parity-check (LDPC) convolutional codes. Our construction method is an extension of Felstroem and Zigangirov construction for non-binary LDPC convolutional codes. The rate-compatibility of the non-binary convolutional code is also discussed.
arxiv   +1 more source

Convolutional codes for iterative decoding [PDF]

2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications, 2008
This paper gives an overview of three different classes of convolutional codes that are suitable for iterative decoding. They are characterized by the type of component codes that are used to construct the overall codes, which can be trivial parity-check constraints, block component codes, or convolutional component codes.
Lentmaier, Michael, Fettweis, Gerhard, Zigangirov, Kamil, Costello Jr., Daniel J.   +3 more
openaire   +4 more sources