Results 71 to 80 of about 13,343 (226)

Impact of data assimilation on Arctic sea‐ice thickness variability and its coupling with atmospheric forcing

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We document for the first time how the assimilation of CS2SMOS observations improves the model representation of Arctic sea‐ice thickness (SIT) and its variability: biases are reduced (top row), while excessive variability in the Beaufort Sea and lack of variability in the ice pack are both corrected (bottom row).
Jiping Xie, Yue Ying, Richard Davy, Laurent Bertino   +3 more
wiley   +1 more source

Input–Output Finite‐Time Stability and Stabilization of Nonautonomous Nonlinear Quadratic Systems via State and Output Feedback

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper presents novel results regarding the input–output finite‐time stability (IO‐FTS) of nonlinear quadratic systems (NLQSs), a class of dynamical models particularly useful for the study of robotic systems, biochemical reaction networks, and other processes of interest to the applied sciences.
Alessio Merola, Francesca Nesci, Donatella Dragone, Francesco Montefusco, Francesco Amato, Carlo Cosentino   +5 more
wiley   +1 more source

Fusion or Confusion? Assessing the Impact of Visible‐Thermal Image Fusion for Automated Wildlife Detection

Remote Sensing in Ecology and Conservation, EarlyView.
This study evaluates the performances of synchronous aerial visible (VIS) and thermal infrared (TIR) imagery for detecting great blue heron (Ardea herodias) nests and individuals using a YOLO11n model. VIS and TIR images were automatically aligned using deep learning, and both early and late fusion approaches were tested.
Camille Dionne‐Pierre, Samuel Foucher, Jérôme Théau, Jérôme Lemaître, Patrick Charbonneau, Maxime Brousseau, Mathieu Varin   +6 more
wiley   +1 more source

A Privacy-Preserving Data Mining Method Based on Singular Value Decomposition and Independent Component Analysis

Data Science Journal, 2011
Privacy protection is indispensable in data mining, and many privacy-preserving data mining (PPDM) methods have been proposed. One such method is based on singular value decomposition (SVD), which uses SVD to find unimportant information for data mining ...
Guang Li, Yadong Wang
doaj   +1 more source

Native Label‐Free Spectral Biochemical Fingerprinting of an Enveloped Mammalian RNA Virus Reveals Mode of Action of a Virucidal Drug

Small Methods, EarlyView.
Deep‐Ultraviolet Resonance Raman (DUVRR) spectroscopy is introduced as a label‐free, non‐invasive analytical workflow for the biochemical fingerprinting of enveloped viruses. By integrating bottom‐up stoichiometric reconstruction with top‐down biochemical extraction, this strategy accurately disentangles complex viral compositions in physiological‐like
Denis Rajnovic, Fatima Matroodi, Lamyaa M. Almehmadi, Tea Carletti, Alessandro Gessini, Igor K. Lednev, Claudio Masciovecchio, Alessandro Marcello, Barbara Rossi   +8 more
wiley   +1 more source

Evaluation of Singular Value Decomposition based Digital Image Watermarking with Dither Quantization and Edge Detection.

Makara Seri Sains, 2010
Evaluation of Singular Value Decomposition based Digital Image Watermarking with Dither Quantization andEdge Detection. The use of singular value decomposition (SVD) in watermarking area has been developed by manyresearchers.
T. Basaruddin, Rahmatri Mardiko
doaj  

Channel estimation method based on singular value decomposition in 3D MIMO-OFDM system

上海师范大学学报. 自然科学版, 2019
The model of 3D multiple input multiple output and orthogonal frequency division multiplexing(MIMO-OFDM) system was introduced,and the channel estimation scheme based on pilot was analyzed.In view of the problem of high complexity of the linear least ...
SHAO Weilu, LI Li, LIU Zhen, TANG Yanzhi
doaj   +1 more source

Enhancing generalized spectral clustering with embedding Laplacian graph regularization

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract An enhanced generalised spectral clustering framework that addresses the limitations of existing methods by incorporating the Laplacian graph and group effect into a regularisation term is presented. By doing so, the framework significantly enhances discrimination power and proves highly effective in handling noisy data.
Hengmin Zhang, Jian Yang, Bob Zhang, Yang Tang, Wenli Du, Bihan Wen   +5 more
wiley   +1 more source

Training‐Efficient Personalised Knee Joint Moment Estimation via an Incremental Broad Learning System

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Knee joint moment estimation is a critical component in biomechanical analysis, with profound implications for rehabilitation assessment and the development of assistive devices like exoskeletons. However, existing data‐driven approaches often rely on highly complex network architectures in pursuit of high accuracy, resulting in inherently ...
Guoyu Zuo, Minghui Zhang, Jingwei Ren, Qifei Wu, Jiaxin Li, Jianyu Chen, Chengyu Qiao, Shuangyue Yu   +7 more
wiley   +1 more source

An Improved Fast Computational Method for Vibration Characteristic Analysis of Dry‐Type Iron Core Reactor

High Voltage, EarlyView.
ABSTRACT Structural mechanics field simulation plays a critical role in the vibration characteristic analysis of electrical equipment. Existing structural field analysis of equipment based on numerical simulation faces challenges such as convergence difficulties and prolonged computational time, failing to meet the demand for real‐time prediction of ...
Wanqing Wang, Caibo Liao, Bang Liu, Kai Li, Wenyu Liu, Zhaoguo Li, Xianfa Tian   +6 more
wiley   +1 more source