Journal ArticleDOI
Data fusion in cyber-physical-social systems: State-of-the-art and perspectives
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TLDR
A general definition of CPSS data fusion is proposed to clarify the concept of information fusion in CPSS, and a series of tensor based data fusion methods for CPSs data are proposed.About:
This article is published in Information Fusion.The article was published on 2019-11-01. It has received 82 citations till now. The article focuses on the topics: Sensor fusion.read more
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Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta,Natalia Díaz-Rodríguez,Javier Del Ser,Javier Del Ser,Adrien Bennetot,Adrien Bennetot,Siham Tabik,Alberto Barbado,Salvador García,Sergio Gil-Lopez,Daniel Molina,Richard Benjamins,Raja Chatila,Francisco Herrera +13 more
TL;DR: In this paper, a taxonomy of recent contributions related to explainability of different machine learning models, including those aimed at explaining Deep Learning methods, is presented, and a second dedicated taxonomy is built and examined in detail.
Journal ArticleDOI
Multi-Source Multi-Domain Data Fusion for Cyberattack Detection in Power Systems
TL;DR: It is demonstrated how improved situational awareness can help reduce false positives in intrusion detection and improvement of detection accuracy by fusion of features from cyber, security, and physical domains.
Journal ArticleDOI
Design Engineering in the Age of Industry 4.0
Roger J. Jiao,Sesh Commuri,Jitesh H. Panchal,Jelena Milisavljevic-Syed,Janet K. Allen,Farrokh Mistree,Dirk Schaefer +6 more
TL;DR: The evolution of Engineering Design in response to advances in several strategic areas including smart and connected products, end-to-end digital integration, customization and personalization, data-driven design, digital twins and intelligent design automation, extended supply chains and agile collaboration networks, open innovation, co-creation and crowdsourcing, product servitization and anything-as-a-service, and platformization for the sharing economy are reviewed.
Journal ArticleDOI
2D Federated Learning for Personalized Human Activity Recognition in Cyber-Physical-Social Systems
TL;DR: A 2-Dimensional Federated Learning (2DFL) framework is designed to cope with the insufficient training data and insecure data sharing issues in CPSS during a secure distributed learning process, and demonstrates the usefulness and effectiveness of the proposed model in achieving faster and smoother convergence.
Journal ArticleDOI
Systemic formalisation of Cyber-Physical-Social System (CPSS): A systematic literature review
TL;DR: In this paper, the authors explore and analyse scientific literatures to understand the complete spectrum of CPSS through a Systematic Literature Review (SLR), identifying the state-of-the-art perspectives on CPSS regarding definitions, underlining principles and application areas.
References
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Journal ArticleDOI
Nonlinear dimensionality reduction by locally linear embedding.
Sam T. Roweis,Lawrence K. Saul +1 more
TL;DR: Locally linear embedding (LLE) is introduced, an unsupervised learning algorithm that computes low-dimensional, neighborhood-preserving embeddings of high-dimensional inputs that learns the global structure of nonlinear manifolds.
Journal ArticleDOI
Learning the parts of objects by non-negative matrix factorization
TL;DR: An algorithm for non-negative matrix factorization is demonstrated that is able to learn parts of faces and semantic features of text and is in contrast to other methods that learn holistic, not parts-based, representations.
Learning parts of objects by non-negative matrix factorization
TL;DR: In this article, non-negative matrix factorization is used to learn parts of faces and semantic features of text, which is in contrast to principal components analysis and vector quantization that learn holistic, not parts-based, representations.
Journal ArticleDOI
Tensor Decompositions and Applications
Tamara G. Kolda,Brett W. Bader +1 more
TL;DR: This survey provides an overview of higher-order tensor decompositions, their applications, and available software.