Results 51 to 60 of about 1,384 (184)

Fault detection in an engine by fusing information from multivibration sensors

International Journal of Distributed Sensor Networks, 2017
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, Lingling Zhang, Jianmin Mei, Hong Shen, Huimin Zhao   +4 more
doaj   +1 more source

Supervised Swin Transformer‐Based Predictive Lithological Mapping and Uncertainty Quantification Using Aeromagnetic and Gravity Data

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Lithological mapping is essential for the exploration of critical minerals supporting energy transition and national defense. Although recent advancements have incorporated multi‐source data sets and leveraged machine learning and deep learning (DL) methods, lithological mapping continues to face significant challenges, such as data imbalance,
Liang Ding, Gilles Bellefleur, Olivier Boulanger, Phuong Vo   +3 more
wiley   +1 more source

Navigation risk assessment scheme based on fuzzy Dempster–Shafer evidence theory

International Journal of Advanced Robotic Systems, 2018
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

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, Volume 6, Issue 1, Page 140-152, March 2026.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source

Reducing Fraud Detection Costs in Credit Card Transactions: An Information Fusion Approach [PDF]

تحقیقات مالی
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, MohammadReza Mehregan, Nila Bahrambeig   +2 more
doaj   +1 more source

Blockchain and Digital Technologies in the Telecommunications Industry

Thunderbird International Business Review, Volume 68, Issue 2, Page 139-163, March/April 2026.
ABSTRACT This article examines how fourth industrial revolution (4IR) technologies, specifically blockchain and digital twin technologies, can be utilized to address the energy supply challenge and enhance the management of distributed telecom infrastructure assets in a research context.
Charles Okeyia, Nuno Marques de Almeida, Joe Amad‐Echendu, Simplice A. Asongu   +3 more
wiley   +1 more source

Instruction‐Tuned Large Language Models for Review Helpfulness Prediction: An Efficient Fine‐Tuning Framework for E‐Commerce Review Understanding

Expert Systems, Volume 43, Issue 3, March 2026.
ABSTRACT With the exponential growth of online reviews on e‐commerce platforms, efficiently identifying helpful reviews has become increasingly critical for supporting consumer decision‐making and mitigating information overload. The task of Review Helpfulness Prediction (RHP) aims to address this challenge by automatically filtering high‐quality and ...
Xinzhe Li, Qinglong Li, Jaekyeong Kim
wiley   +1 more source

UNCERTAINTY ASSESSMENT OF AIRCRAFT MAINTENANCE TIMES

Havacılık ve Uzay Teknolojileri Dergisi, 2009
This thesis demonstrates the use of the Dempster-Shafer Theory of evidence as a decision aid to specify maintenance time during wartime operations, by the help of expert judgment elicitation. This more precise time estimation enables the decision maker
Hüseyin Kudak , Sami Ercan
doaj  

Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory [PDF]

, 2006
Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve the classification result. More complex ways of evaluating the hierarchy output that take into account the complete information the hierarchy provides yield improved classification ...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel 0002, Günther Palm   +3 more
openaire   +1 more source

Predictive processing's flirt with transcendental idealism

Noûs, Volume 60, Issue 1, Page 87-109, March 2026.
Abstract The popular predictive processing (PP) framework posits prediction error minimization (PEM) as the sole mechanism in the brain that can account for all mental phenomena, including consciousness. I first highlight three ambitions associated with major presentations of PP: (1) Completeness (PP aims for a comprehensive account of mental phenomena)
Tobias Schlicht
wiley   +1 more source