Results 81 to 90 of about 9,914 (309)
Gas-path Diagnostics and Prognostics for Aero-engines Using Fuzzy Logic and Time Series Analysis [PDF]
, 2004 Reducing the direct operating-costs is now crucial in order to ensure competitive advantages for airlines and manufacturers, and so effective advanced engine-condition monitoring methodologies are necessary.
Marinai, Luca
core
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
On the similarity relation within fuzzy ontology components
, 2005 Ontology reuse is an important research issue. Ontology merging, integration, mapping, alignment and versioning are some of its subprocesses. A considerable research work has been conducted on them.
Bejaoui, Lotfi +2 more
core
The Inevitability of Vagueness in Fuzzy Logic
, 2023 Fuzzy Logic, in its fuzzy control incarnation, can be as well seen as an answer to the belated question on how can an algorithm take in account the subtle variations in a complex system -- be it the simple and paradigmatic thermostat, the description of ...
Tabacchi M. E.
core +1 more source
Dimensions of the AI Divide: Digital Inequality and Psychological Consequences
AI &Innovation, EarlyView.ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley +1 more source
Aircraft Trajectory Tracking Using Radar Equipment with Fuzzy Logic Algorithm
Mathematics, 2020 Radio-electronic means, including equipment for transmissions, radio-location, broadcasting, and navigation, allow the execution of various research missions and combat forces management.
Maria Simona Raboaca +2 more
doaj +1 more source
, 2005 This paper presents a new type of fuzzy logic controller (FLC) membership functions for automotive active suspension systems. The shapes of the membership functions are irregular and optimized using a genetic algorithm (GA).
Wang, Leran, Kazmierski, Tom
core
fuzzyDL: An expressive fuzzy description logic reasoner
, 2008 —In this paper we present fuzzyDL, an expressive fuzzy Description Logic reasoner. We present its salient features, including some novel concept constructs and queries, and examples of use cases: matchmaking and fuzzy control ...
O Bobillo +2 more
core +1 more source
Fuzzy models for fingerprint description [PDF]
, 2011 Fuzzy models, traditionally used in the control field to model controllers or plants behavior, are used in this work to describe fingerprint images. The textures, in this case the directions of the fingerprint ridges, are described for the whole image by
Iluminada Baturone +5 more
core +1 more source
AI &Innovation, EarlyView.ABSTRACT Nonlinear control systems are an integral part of complex engineering systems. The main difference from linear systems is their ability to adapt to changes and unpredictable conditions. These systems exhibit behaviors that cannot be predicted by simple linear equations, making them essential for applications requiring precise control over a ...
Cinthia Peraza +3 more
wiley +1 more source