Results 41 to 50 of about 32,986 (296)

Using singular value decomposition for generalized linear autoregression of signals

Current Directions in Biomedical Engineering, 2018
Autoregressive models (AR) are fundamental for analysis, representation, and prediction of signals. AR modelling uses the premise that past signal values influence current ones.
Schanze Thomas
doaj   +1 more source

Multibiometric Identification System based on SVD and Wavelet Decomposition [PDF]

Engineering and Technology Journal, 2017
Biometric systems refer to the systems used for human recognition based on their characteristics. These systems are widely used in security institutions and access control.
M.N. Abdullah, H.A. Jeiad, R.A. Hussein
doaj   +1 more source

From Clinic to Computation: Multiscale Bioengineering Strategies for Durable Biological Aortic Valve Replacements

Advanced Functional Materials, EarlyView.
Bioprosthetic aortic valves have revolutionized the treatment of aortic stenosis, but their durability is limited by structural valve deterioration (SVD). This review focuses on the pericardial tissue at the heart of these valves, examining how its mechanical properties and calcification drive fatigue and failure.
Gabriele Greco, Pierfrancesco Gaziano, Serena Anglese, Simone Morganti, Carlo de Vincentiis, Ferdinando Auricchio, Michele Marino, Michele Conti   +7 more
wiley   +1 more source

Robust Padé Approximation via SVD [PDF]

SIAM Review, 2013
Pade approximation is considered from the point of view of robust methods of numerical linear algebra, in particular, the singular value decomposition. This leads to an algorithm for practical computation that bypasses most problems of solution of nearly-singular systems and spurious pole-zero pairs caused by rounding errors, for which a MATLAB code is
Pedro Gonnet, Stefan Güttel, Lloyd N. Trefethen   +2 more
openaire   +2 more sources

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

A location and detection method for transient power quality disturbance using SVD-ILMD

Zhejiang dianli
Swiftly and accurately analyze non-stationary disturbance signals within the power grid， a location and detection method for transient power quality disturbance that combines singular value decomposition （SVD） and improved local mean decomposition （ILMD）
CHENG Jiangzhou, ZHANG Zhiqiang, YAN Ranyang, LI Xiaolai, XIE Zhuoran, HU Zhehao   +5 more
doaj   +1 more source

Robust Digital Watermarking on Vital Archives using Hybrid SVD and DWT Methods

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023
The development of Internet technology affects the dissemination of data, especially in vital government archives. This research uses a hybrid singular value decomposition (SVD) and discrete wavelet transform (DWT) method, which aims to protect the ...
Alita Wulan Dini, Shelvie Nidya Neyman, Toto Haryanto   +2 more
doaj   +1 more source

The Extraordinary SVD

The American Mathematical Monthly, 2012
The singular value decomposition (SVD) is a popular matrix factorization that has been used widely in applications ever since an efficient algorithm for its computation was developed in the 1970s. In recent years, the SVD has become even more prominent due to a surge in applications and increased computational memory and speed.
Martin, C, Porter, M
openaire   +2 more sources

SVD-GCN

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
With the tremendous success of Graph Convolutional Networks (GCNs), they have been widely applied to recommender systems and have shown promising performance. However, most GCN-based methods rigorously stick to a common GCN learning paradigm and suffer from two limitations: (1) the limited scalability due to the high computational cost and slow ...
Peng, Shaowen, Sugiyama, Kazunari, Mine, Tsunenori   +2 more
openaire   +2 more sources

Charge Transfer States in Donor–Acceptor Bulk‐Heterojunctions as Triplet–Triplet Annihilation Sensitizer for Solid‐State Photon Upconversion

Advanced Materials Interfaces, EarlyView.
A near‐infrared photosensitizer that facilitates efficient solid‐state photon upconversion by recycling triplets formed within a fullerene‐based donor–acceptor bulk‐heterojunction system is demonstrated. Spectroscopic investigations reveal that the energy of photogenerated charge transfer states of triplet character (3CT) is subsequently transferred to
Maciej Klein, Alexander R. Ireland, Evan G. Moore, Dennis Delic, Ajay K. Pandey   +4 more
wiley   +1 more source