Results 241 to 250 of about 141,420 (324)
Improving knowledge on the activation of bone marrow fibroblasts in MGUS and MM disease through the automatic extraction of genes via a nonnegative matrix factorization approach on gene expression profiles [PDF]
, 2018 Angelina Boccarelli +5 more
openalex +1 more source
TVB C++: A Fast and Flexible Back‐End for The Virtual Brain
Advanced Science, Volume 13, Issue 2, 9 January 2026.TVB C++ is a streamlined and fast C++ Back‐End for The Virtual Brain (TVB), designed to make it as flexible as TVB, and FAST. Another pillar is to be fully compatible with TVB so easy bindings can be created from Python. Users can easily configure TVB C++ to execute the same code but with enhanced performance and parallelism.
Ignacio Martín +7 more
wiley +1 more source
Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.This study proposes a hardware‐efficient training methodology for crossbar arrays mapped with convolutional kernels in distributed computing systems. The approach is robust to variations in analog devices, minimizes disturbances during parallel writing operations, reduces stress on hardware, and accelerates the training process.
Jaehyeon Kang +3 more
wiley +1 more source
Asian Journal of Control, Volume 28, Issue 1, Page 20-33, January 2026.Abstract This study presents a non‐iterative tuning technique for a linear fractional‐order (FO) controller, based on the integral of the time‐weighted absolute error (ITAE) criterion. Minimizing the ITAE is a traditional approach for tuning FO controllers. This technique reduces the over/undershoot and suppresses the steady‐state error. In contrast to
Ansei Yonezawa +4 more
wiley +1 more source
Generalized Alpha-Beta Divergences and Their Application to Robust Nonnegative Matrix Factorization [PDF]
, 2011 Andrzej Cichocki +2 more
openalex +1 more source
Three‐Way Data Analysis With Explainable Tucker3 Clustering (XT3Clus)
Applied Stochastic Models in Business and Industry, Volume 42, Issue 1, January/February 2026.ABSTRACT In an era of increasingly complex data, three‐way arrays capturing information across units, variables and occasions are ubiquitous in fields from chemometrics to finance. However, extracting meaningful and interpretable patterns from such data remain a significant challenge.
Mariaelena Bottazzi Schenone +3 more
wiley +1 more source
Communications on Pure and Applied Mathematics, Volume 79, Issue 1, Page 3-88, January 2026.Abstract We address the problem of regularity of solutions ui(t,x1,…,xN)$u^i(t, x^1, \ldots, x^N)$ to a family of semilinear parabolic systems of N$N$ equations, which describe closed‐loop equilibria of some N$N$‐player differential games with Lagrangian having quadratic behaviour in the velocity variable, running costs fi(x)$f^i(x)$ and final costs gi(
Marco Cirant, Davide Francesco Redaelli
wiley +1 more source
SNMFSMMA: using symmetric nonnegative matrix factorization and Kronecker regularized least squares to predict potential small molecule-microRNA association. [PDF]
RNA Biol, 2020 Zhao Y, Chen X, Yin J, Qu J.
europepmc +1 more source
Randomly sparsified Richardson iteration: A dimension‐independent sparse linear solver
Communications on Pure and Applied Mathematics, Volume 79, Issue 1, Page 89-122, January 2026.Abstract Recently, a class of algorithms combining classical fixed‐point iterations with repeated random sparsification of approximate solution vectors has been successfully applied to eigenproblems with matrices as large as 10108×10108$10^{108} \times 10^{108}$. So far, a complete mathematical explanation for this success has proven elusive.
Jonathan Weare, Robert J. Webber
wiley +1 more source
Engineering Reports, Volume 8, Issue 1, January 2026.This work tackles the unresolved stability problem of heterogeneous quaternion‐valued BAM neural networks plagued by unknown parameters, time‐varying delays, and impulses. By synergizing Lyapunov theory with inequality techniques, we establish rigorous, yet practical, global stability conditions.
Xi Long, Yaqin Li
wiley +1 more source