Results 61 to 70 of about 9,033 (258)

An Upper-Ontology-Based Approach for Automatic Construction of IOT Ontology

International Journal of Distributed Sensor Networks, 2014
Ontology gives us a reliable group of concepts and the relations between concepts in an IOT system. It does not only save words of format but also accurately transfers semantic data between human users and the computers.
Yuan Xu, Chunhong Zhang, Yang Ji
doaj   +1 more source

An Approach to the Evaluation of the Quality of Accounting Information Based on Relative Entropy in Fuzzy Linguistic Environments

Entropy, 2017
There is a risk when company stakeholders make decisions using accounting information with varied qualities in the same way. In order to evaluate the accounting information quality, this paper proposed an approach to the evaluation of the quality of ...
Ming Li, Xiaoli Ning, Mingzhu Li, Yingcheng Xu   +3 more
doaj   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill   +3 more
wiley   +1 more source

AI‐Enhanced Laser Manufacturing: A Social Life Cycle Perspective From the White Goods Industry

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Sustainable manufacturing transitions require companies to demonstrate not only environmental and economic benefits, but also measurable advances in corporate social responsibility (CSR). Therefore, we propose using a guideline‐based Social Life Cycle Assessment (S‐LCA) aligned with UNEP (2020) and ISO 14075 (2024) to evaluate the social ...
Ricardo Mejía‐Marchena, José Osorio‐Tejada, Farshid Sadeghi‐Khanegah, Abdullah Sert, Volker Hessel   +4 more
wiley   +1 more source

EventFlow: Real‐time neuromorphic event‐driven classification of two‐phase boiling flow regimes

Droplet, EarlyView.
We present a real‐time flow regime classification framework that integrates neuromorphic event‐driven sensing with deep recurrent neural networks. Unlike traditional frame‐based approaches, our system captures sparse event streams from an event‐based camera, representing only the dynamic brightness changes at the individual pixel level.
Sanghyeon Chang, Srikar Arani, Nishant Sai Nuthalapati, Youngjoon Suh, Nicholas Choi, Siavash Khodakarami, Md Rakibul Hasan Roni, Nenad Miljkovic, Aparna Chandramowlishwaran, Yoonjin Won   +9 more
wiley   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source

Modeling agent‐based consumers decision‐making with 2‐tuple fuzzy linguistic perceptions

International Journal of Intelligent Systems, 2019
Andalusian ...
Jesús Giráldez-Cru, Manuel Chica, Oscar Cordón, Francisco Herrera   +3 more
openaire   +2 more sources

Subspace Acceleration for Efficient Nonlinear Water Wave Simulation

International Journal for Numerical Methods in Fluids, EarlyView.
We introduce an exponentially weighted subspace acceleration technique to reduce GMRES iterations for solving the Poisson equation with time‐dependent coefficients in nonlinear, dispersive free‐surface flows governed by the incompressible Navier‐Stokes equations. The method significantly reduces memory requirements and computational complexity compared
Rasmus Kleist Hørlyck Sørensen, Margherita Guido, Allan Peter Engsig‐Karup, Daniel Kressner   +3 more
wiley   +1 more source

A Multi-Criteria 2-Tuple Linguistic Group Decision-Making Method Based on TODIM for Cholecystitis Treatments Selection

IEEE Access, 2019
Cholecystitis is a common disease with a high incidence, and attracts much attention. It not only harms human health, but also affects quality of work and life. Therefore, the choice of a suitable treatment is badly important for patients. In this paper,
Li Xie, Jiqun He, Pengfei Cheng, Runsha Xiao, Xianghong Zhou   +4 more
doaj   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

Journal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source