Supersaturated Designs for Main Effects and Two‐Factor Interactions
Quality and Reliability Engineering International, Volume 42, Issue 1, Page 52-65, February 2026.ABSTRACT Supersaturated designs (SSDs), which use fewer runs than factors, are employed in screening experiments to identify large main effects (MEs), even when the experimental setting may also involve factors that interact. This paper introduces new SSD design criteria that account for two‐factor interactions (2FIs) and compares them with designs ...
Byran J. Smucker +2 more
wiley +1 more source
Bilevel Optimization Using Stationary Point of Lower-Level Objective Function for Discriminative Basis Learning in Nonnegative Matrix Factorization [PDF]
, 2019 Hiroaki NAKAJIMA +4 more
openalex +1 more source
Adversarial Graph Regularized Deep Nonnegative Matrix Factorization for Data Representation
, 2022 Songtao Li, Weigang Li, Yang Li
openalex +1 more source
Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems
International Journal of Adaptive Control and Signal Processing, Volume 40, Issue 1, Page 137-150, January 2026.This paper presents a data‐driven control barrier function (CBF) technique for ensuring safe control of multi‐agent systems (MASs) with uncertain linear dynamics. A data‐driven quadratic programming (QP) optimization is first developed for CBF‐based safe control of single‐agent systems using a nonlinear controller. This approach is then extended to the
Marjan Khaledi, Bahare Kiumarsi
wiley +1 more source
Online Nonnegative Matrix Factorization with General Divergences [PDF]
, 2016 Renbo Zhao, Vincent Y. F. Tan, Huan Xu
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
Joint similarity nonnegative matrix factorization model for identification of recurrence-related association patterns in tumor. [PDF]
Brief BioinformDeng J +7 more
europepmc +1 more source
Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis. [PDF]
Biomed Eng Online, 2020 Hu G +6 more
europepmc +1 more source