Results 91 to 100 of about 724,897 (308)
Sensors, 2016 The detection of a moving target using an IR-UWB Radar involves the core task of separating the waves reflected by the static background and by the moving target.
Donatien Sabushimike +5 more
doaj +1 more source
IEEE Access, 2020 Extreme learning machine (ELM) is a simple feedforward neural network, and it has been extensively used in applications for its extremely fast learning speed and good generalization performance.
Qinwei Fan, Lei Niu, Qian Kang
doaj +1 more source
A sparse-sparse iteration for computing a sparse incomplete factorization of the inverse of an SPD matrix [PDF]
Applied Numerical Mathematics, 2009 In this paper, a method via sparse-sparse iteration for computing a sparse incomplete factorization of the inverse of a symmetric positive definite matrix is proposed. The resulting factorized sparse approximate inverse is used as a preconditioner for solving symmetric positive definite linear systems of equations by using the preconditioned conjugate ...
Salkuyeh, Davod Khojasteh +1 more
openaire +2 more sources
In silico and in vitro exploration of a tyrosinase for biocatalytic production of catechols
FEBS Open Bio, EarlyView.Tyrosinase from Ralstonia pseudosolanacearum is a promising biocatalyst for producing valuable catechols from monophenol substrates. This tyrosinase is uniquely suited to this due to its high monophenolase : diphenolase ratio. We combined in silico docking and in vivo kinetic characterisation of this tyrosinase with 11 industrially relevant monophenols,
James Britton +6 more
wiley +1 more source
Monte Carlo methods for adaptive sparse approximations of time-series
, 2007 This paper deals with adaptive sparse approximations of time-series. The work is based on a Bayesian specification of the shift-invariant sparse coding model.
Michael E. Davies +3 more
core +1 more source
FEBS Open Bio, EarlyView.Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
wiley +1 more source
FEBS Open Bio, EarlyView.In this study, a novel esterase from the thermoacidophilic archaeon Thermoplasma acidophilum was biochemically and structurally characterized. Our results demonstrate that Ta0887 is a highly thermostable esterase that preferentially hydrolyzes p‐nitrophenyl hexanoate and possesses an α‐helical cap domain that likely contributes to its substrate ...
Alejandro Delgado‐Rey +4 more
wiley +1 more source
Collaborative Sparse Reconstruction for Pan-Sharpening [PDF]
, 2013 In this paper, we extend the Sparse Fusion of Images (SparseFI, pronounced "sparsify") algorithm, proposed by the authors before, to a Jointly Sparse Fusion of Images (JSparseFI) algorithm by exploiting the possible signal structural correlations between
Richard Bamler +6 more
core +1 more source
Procedural Learning With Robust Visual Features via Low Rank Prior
IEEE Access, 2019 In order to apply a convolutional neural network (CNN) to unseen datasets, a common way is to train a CNN using a pre-trained model on a big dataset by fine-tuning it instead of starting from scratch.
Haifeng Li +5 more
doaj +1 more source
Aging and Cancer, EarlyView.Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi +3 more
wiley +1 more source