Results 41 to 50 of about 1,315 (181)
Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution
ABSTRACT The development, integration, and maintenance of geospatial databases rely heavily on efficient and accurate matching procedures of Geospatial Entity Resolution (ER). While resolution of points‐of‐interest (POIs) has been widely addressed, resolution of entities with diverse geometries has been largely overlooked.
Kalana Wijegunarathna +2 more
wiley +1 more source
The multi-agent information fusion (MAIF) system can alleviate the limitations of a single expert system in dealing with complex situations, as it allows multiple agents to cooperate in order to solve problems in complex environments.
Jingyu Liu, Yongchuan Tang
doaj +1 more source
ABSTRACT High‐entropy alloys (HEAs) have emerged as a transformative class of materials distinguished by their complex chemical compositions, unique microstructures, and remarkable mechanical and functional properties. Traditionally, the discovery and optimization of HEAs have relied on conventional methods, including trial‐and‐error experimentation ...
Chrispin Ouko Zamzu +2 more
wiley +1 more source
Assessing the Usefulness of Assurance Cases: Experience With the Large Hadron Collider
ABSTRACT Assurance cases (ACs) are structured arguments designed to show that a system is sufficiently reliable to function properly in its operational environment. They are mandated by safety standards and are largely used in industry to support risk management for systems; however, ACs often contain proprietary information and are not publicly ...
Torin Viger +7 more
wiley +1 more source
Navigation risk assessment scheme based on fuzzy Dempster–Shafer evidence theory
In order to reduce the influence of subjective factors on navigation risk assessment, we present a novel scheme based on the fuzzy Dempster–Shafer evidence theory in this article.
Bo Li
doaj +1 more source
Partial Discharge Pattern Recognition Based on Time‐Frequency Multi‐Scale Residual Attention Network
A time‐frequency multi‐scale residual attention network (TFMRAnet) was designed to analyze partial discharge (PD) signals. The network comprises an adaptive denoising network based on multi‐scale residual attention, a frequency‐domain recognition network, and a decision fusion module based on Dempster‐Shafer (D‐S) evidence theory.
Yunguang Gao +4 more
wiley +1 more source
Fault detection in an engine by fusing information from multivibration sensors
Fault detection based on the vibration signal of an engine is an effective non-disassembly method for engine diagnosis because a vibration signal includes a lot of information about the condition of the engine.
Ruili Zeng +4 more
doaj +1 more source
Multidimensional Topological Measure Spaces and Their Applications in Decision‐Making Problems
This paper presents a generalized framework termed the multidimensional topological measure space (MDTMS), developed through multidimensional fuzzy sets, multidimensional topology, and an associated distance measure. The suggested framework enhances traditional fuzzy models by facilitating a more nuanced representation and examination of intricate ...
Jomal Josen +3 more
wiley +1 more source
A rolling prediction framework based on an adaptive weighted Health Index (HI) is proposed, constructing an interpretable HI by fusing multi‐degradation features with inverse standard deviation weighting. By integrating a Support Vector Regression (SVR) model with a rolling update mechanism of a sliding time window and exponentially decaying weights ...
Xiaojiu Ma +3 more
wiley +1 more source
Reducing Fraud Detection Costs in Credit Card Transactions: An Information Fusion Approach [PDF]
Objective Most companies and organizations use e-commerce to gain productivity and efficiency in their services and products in different areas such as credit cards, telecommunications, health insurance, car insurance, etc.
Mohammad Reza Sadeghi Moghadam +2 more
doaj +1 more source

