Results 71 to 80 of about 1,179,942 (315)

FORTRAN subroutines for updating the QR decomposition [PDF]

, 1988
We present FORTRAN subroutines that update the QR decomposition in a numerically stable manner when A is modified by a matrix of rank one, or when a row or a column is inserted or deleted.
Gragg, William B., Reichel, Lother
core  

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

A sparse moving array imaging approach for FMCW radar with dual-aperture adaptive azimuth ambiguity suppression and adaptive QR decomposition

Defence Technology
Range-azimuth imaging of ground targets via frequency-modulated continuous wave (FMCW) radar is crucial for effective target detection. However, when the pitch of the moving array constructed during motion exceeds the physical array aperture, azimuth ...
Yanwen Han, Xiaopeng Yan, Jiawei Wang, Sheng Zheng, Hongrui Yu, Jian Dai   +5 more
doaj   +1 more source

Hybrid Robust Image Steganography approach for the secure transmission of biomedical images in Cloud [PDF]

EAI Endorsed Transactions on Pervasive Health and Technology, 2019
INTRODUCTION: A rich patient may reside in their home and may prefer to take treatment with all the medical appliances inside the premise. A patient may take treatment in the less specialized hospital, which may be taking a suggestion from a specialist ...
Arunkumar S, Subramaniyaswamy V, Logesh R   +2 more
doaj   +1 more source

QR-DeepONet: resolve abnormal convergence issue in deep operator network

Machine Learning: Science and Technology
Deep operator network (DeepONet) has been proven to be highly successful in operator learning tasks. Theoretical analysis indicates that the generation error of DeepONet should decrease as the basis dimension increases, thus providing a systematic way to
Jie Zhao, Biwei Xie, Xingquan Li
doaj   +1 more source

Adaptive Software Defined Equalization Techniques for Indoor Visible Light Communication

Sensors, 2020
This paper focuses on a channel feed-forward software defined equalization (FSDE) of visible light communication (VLC) multistate quadrature amplitude modulation (M-QAM) based system, implemented in the LabVIEW programming environment.
Radek Martinek, Lukas Danys, Rene Jaros
doaj   +1 more source

Anatomists' experience and perspectives on the international transfer of human remains for the purpose of education

Anatomical Sciences Education, EarlyView.
Abstract Anecdotally, educational institutions without access to human remains may choose to import these from other countries; however, there is currently no published information illuminating the existence of this trade. This study therefore aimed to document the nature of international transfer of human remains for education, and explore anatomists'
Jackie Hazelhurst, Jon Cornwall, Brandi Schmitt, Brendon Billings, Susana Biasutto, Andreas Winkelmann, Jian Yang, Laura Johnson   +7 more
wiley   +1 more source

Reprogramming tumor immune microenvironment by ultrasound‐responsive nanoplatforms for enhanced cancer immunotherapy

BMEMat, EarlyView.
Ultrasound‐responsive nanoplatforms reprogram the tumor immune microenvironment by targeting tumor cells, immune cells, and non‐immune stromal cells to enhance the efficacy of cancer immunotherapy. Abstract Cancer immunotherapy represents a significant advancement in cancer treatment by enhancing the specific recognition and elimination of cancer cells.
Shilong Zhao, Rui Qu, Zan Dai, Xiqun Jiang, Xu Zhen   +4 more
wiley   +1 more source

Comparison of Matrix Decomposition in Null Space-Based LDA Method

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Problems with small sample sizes and high dimensionality are common in pattern recognition. Almost all machine learning algorithms degrade in high-dimensional data, so that singularities in the scatter matrices, the main problem of the Linear ...
Carissa Devina Usman, Farikhin, Titi Udjiani   +2 more
doaj   +1 more source

Applications of fast QR-decomposition based adaptive algorithms in wireless systems

, 2017
This thesis presents four contributions: first, it develops new techniques to extend the range of applications of computationally efficient (comparing to recursive least-squares (RLS) algorithm) fast QR-decomposition least-squares (FQRD-LS) algorithms ...
Mohammad, Mohammed Mobien
core   +1 more source