Results 51 to 60 of about 724,853 (235)

Data‐Driven Distributed Safe Control Design for Multi‐Agent Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
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

Multi‐view registration based on weighted LRS matrix decomposition of motions

IET Computer Vision, 2019
Recently, the low‐rank and sparse (LRS) matrix decomposition has been introduced as an effective mean to solve the multi‐view registration. It views each available relative motion as a block element to reconstruct one sparse matrix, which then is used to
Congcong Jin, Jihua Zhu, Yaochen Li, Shanmin Pang, Lei Chen, Jun Wang   +5 more
doaj   +1 more source

Weighted Sparseness-Based Anomaly Detection for Hyperspectral Imagery

Sensors, 2023
Anomaly detection of hyperspectral remote sensing data has recently become more attractive in hyperspectral image processing. The low-rank and sparse matrix decomposition-based anomaly detection algorithm (LRaSMD) exhibits poor detection performance in ...
Xing Lian, Erwei Zhao, Wei Zheng, Xiaodong Peng, Ang Li, Zheng Zhen, Yan Wen   +6 more
doaj   +1 more source

Literature survey on low rank approximation of matrices

, 2016
Low rank approximation of matrices has been well studied in literature. Singular value decomposition, QR decomposition with column pivoting, rank revealing QR factorization (RRQR), Interpolative decomposition etc are classical deterministic algorithms ...
Kumar, N. Kishore, Shneider, Jan
core   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Randomized Nonnegative Matrix Factorization

, 2018
Nonnegative matrix factorization (NMF) is a powerful tool for data mining. However, the emergence of `big data' has severely challenged our ability to compute this fundamental decomposition using deterministic algorithms. This paper presents a randomized
Erichson, N. Benjamin, Kutz, J. Nathan, Mendible, Ariana, Wihlborn, Sophie   +3 more
core   +1 more source

A Simulative Approach for the Prediction of Mesoscale Residual Stress Fields in Solution‐Strengthened Ferritic Ductile Iron

Advanced Engineering Materials, EarlyView.
This study presents a 3D representative volume element‐based simulation approach to predict mesoscopic residual stress and strain fields in silicon solid solution‐strengthened ductile cast iron. By modeling phase transformation kinetics with an enhanced Johnson–Mehl–Avrami–Kolmogorov model, the effects of varying cooling rates on residual stresses are ...
Lutz Horbach, Oliver Schenk, Valérian Iss, Ali Rajaei, Jiali Zhang, Felix Weber, Christoph Broeckmann   +6 more
wiley   +1 more source

Multi-model deep learning approach for collaborative filtering recommendation system

CAAI Transactions on Intelligence Technology, 2020
As a result of a huge volume of implicit feedback such as browsing and clicks, many researchers are involving in designing recommender systems (RSs) based on implicit feedback.
Mohammed Fadhel Aljunid, Manjaiah Doddaghatta Huchaiah   +1 more
doaj   +1 more source

CALPHAD‐Guided Prediction and Interpretation of Phase Formation in Ta–Mo–Cr–Ti–Al Refractory High‐Entropy Alloys

Advanced Engineering Materials, EarlyView.
This study designs Ta–Mo–Cr–Ti–Al refractory high‐entropy alloys with a disordered body‐centered‐cubic A2 crystal structure aiming for improved ductility, lower density, and oxidation resistance. Four alloy compositions are identified by thermodynamic calculations.
Kateryna Khanchych, Chongchong Tang, Carsten Schroer, Björn Schäfer, Judith Jung, Michael Dürrschnabel, Ute Jäntsch, Bronislava Gorr   +7 more
wiley   +1 more source

Drug-Disease Association Prediction Based on Neighborhood Information Aggregation in Neural Networks

IEEE Access, 2019
Computational drug repositioning plays a vital role in the prediction of drug function. Many new functions discovered have been confirmed. In comparison with traditional drug repositioning, computational drug repositioning shortens the time and reduces ...
Yingdong Wang, Gaoshan Deng, Nianyin Zeng, Xiao Song, Yuanying Zhuang   +4 more
doaj   +1 more source