Results 31 to 40 of about 130 (119)

Non-Negative Tensor Factorization for Human Behavioral Pattern Mining in Online Games

open access: yesInformation, 2018
Multiplayer online battle arena is a genre of online games that has become extremely popular. Due to their success, these games also drew the attention of our research community, because they provide a wealth of information about human online ...
Anna Sapienza   +2 more
doaj   +1 more source

Segmentation of Infant Brain Using Nonnegative Matrix Factorization

open access: yesApplied Sciences, 2022
This study develops an atlas-based automated framework for segmenting infants’ brains from magnetic resonance imaging (MRI). For the accurate segmentation of different structures of an infant’s brain at the isointense age (6–12 months), our framework ...
Norah Saleh Alghamdi   +9 more
doaj   +1 more source

Improving Neutron-Gamma Discrimination with Stilbene Organic Scintillation Detector Using Blind Nonnegative Matrix and Tensor Factorization Methods

open access: yesJournal of Spectroscopy, 2019
In order to perform highly qualified neutron-gamma discrimination in mixed radiation field, we investigate the application of blind source separation methods based on nonnegative matrix and tensor factorization algorithms as new and robust neutron-gamma ...
Hanane Arahmane   +2 more
doaj   +1 more source

Free Trade Zones and Corporate ESG: Evidence From a Quasi‐Natural Experiment in China

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines how China's Pilot Free Trade Zones (FTZs) influence corporate ESG performance. Using a staggered difference‐in‐differences model on Chinese listed firms from 2009 to 2024, we combine coarsened exact matching (CEM) and geography‐based instrumental variables to ensure robust identification.
Wen Li, Yinghan Zhao, Brian Lucey
wiley   +1 more source

Artificial Intelligence–Driven ESG Strategy: Predictive Analytics for Sustainable Value Creation: A Narrative Review

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This narrative review examines the intersection of artificial intelligence, environmental, social and governance (ESG) strategies and sustainable value creation in contemporary business environments. As organisations face mounting pressure to demonstrate environmental stewardship, social responsibility and governance excellence, artificial ...
Emmanuel Junior Tenakwah   +2 more
wiley   +1 more source

User social influence analysis based on constrained nonnegative tensor factorization

open access: yesTongxin xuebao, 2016
Existing models for measuring user social influence fail to integrate both opinion and topic information.Therefore,a new constrained nonnegative tensor factorization method combining user’s opinion and the topical relevance was proposed.The method ...
Jing-jing WEI   +4 more
doaj   +2 more sources

Compact Manifolds With Unbounded Nilpotent Fundamental Groups and Positive Ricci Curvature

open access: yesCommunications on Pure and Applied Mathematics, EarlyView.
ABSTRACT It follows from the work of Kapovitch and Wilking that a closed manifold with nonnegative Ricci curvature has a uniformly almost nilpotent fundamental group. Leftover questions and conjectures, have asked if in this context the fundamental group is actually uniformly almost abelian. The main goal of this work is to construct examples (Mk9,gk)$(
Elia Bruè, Aaron Naber, Daniele Semola
wiley   +1 more source

Pre-seismic geomagnetic fusion anomaly extraction based on Spatially Weighted Non-negative Tensor Factorization [PDF]

open access: yesNatural Hazards and Earth System Sciences
Earthquake preparation processes are known to generate geomagnetic anomalies in some cases. Existing methods for extracting pre-seismic geomagnetic anomalies from multi-station observations are limited by the lack of physically meaningful constraints ...
B. Yang   +8 more
doaj   +1 more source

Nonnegative Factorization of Diffusion Tensor Images and Its Applications [PDF]

open access: yes, 2011
This paper proposes a novel method for computing linear basis images from tensor-valued image data. As a generalization of the nonnegative matrix factorization, the proposed method aims to approximate a collection of diffusion tensor images using nonnegative linear combinations of basis tensor images.
Yuchen Xie, Jeffrey Ho, Baba C. Vemuri
openaire   +2 more sources

Markov‐Associated Quadratic Stochastic Families and the Susceptible‐Infected‐Recovered (SIR) Model

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT We introduce a Markov‐associated construction for quadratic stochastic families generated by a symmetric cubic stochastic matrix and a finite‐state homogeneous Markov semigroup. The constructed family is not assumed to be a classical quadratic stochastic process of type (A)$$ (A) $$ or type (B)$$ (B) $$; rather, it is a Markov‐associated ...
Taimun Qaisar   +3 more
wiley   +1 more source

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