Results 51 to 60 of about 448,451 (289)

On the similarity relation within fuzzy ontology components [PDF]

open access: yes, 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  

Ion Concentration and Voltage Imaging With Fluorescent Nanodiamonds

open access: yesAdvanced Materials, EarlyView.
We demonstrate reversible switching between the fluorescent NV0 and the dark NV+ state, in sub‐30 nm FNDs via surface oxidation and hydrogenation, respectively. In an electrochemical cell, we show that the fluorescence from hydrogenated particles enables all‐optical imaging of voltages and ion concentrations at the micrometer scale.
Patrick Voorhoeve   +8 more
wiley   +1 more source

New Interval Improved Fuzzy Partitions Fuzzy C-Means Clustering Algorithms under Different Distance Measures for Symbolic Interval Data Analysis

open access: yesApplied Sciences, 2023
Symbolic interval data analysis (SIDA) has been successfully applied in a wide range of fields, including finance, engineering, and environmental science, making it a valuable tool for many researchers for the incorporation of uncertainty and imprecision
Sheng-Chieh Chang   +2 more
doaj   +1 more source

Improved fuzzy partitions for fuzzy regression models

open access: yesInternational Journal of Approximate Reasoning, 2003
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Frank Höppner, Frank Klawonn
openaire   +3 more sources

On‐Chip Photonic Neural Network Architectures

open access: yesAdvanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong   +7 more
wiley   +1 more source

Fuzzy Measures and the Entropy of Fuzzy Partitions

open access: yesJournal of Mathematical Analysis and Applications, 1993
The author defines an entropy of a fuzzy partition and proves some basic properties of it. His aim is to get such properties which are very similar to analogous properties for the entropy of probability measures. Therefore, the consideration must be restricted to bounded-sum-union and bounded-product-intersection of fuzzy sets (only in this case a ...
openaire   +2 more sources

Zero overshoot and fast transient response using a fuzzy logic controller [PDF]

open access: yes, 2012
In some industrial process control systems it is desirable not to allow an overshoot beyond the setpoint or a threshold, this could be a safety constraint or the requirement of the system.
Mehrdadi, Bruce, Saeed, Bakhtiar I.
core   +3 more sources

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi   +2 more
wiley   +1 more source

Fuzzy logic application for fault isolation of actuators

open access: yesComputer Assisted Methods in Engineering and Science, 2022
This paper is focused particularly on application of fuzzy logic approach for solving fault isolation problem of some class of industrial actuators described in the benchmark actuator definition [1].
Michał Bartyś   +2 more
doaj  

Matrix formulation of fuzzy rule-based systems [PDF]

open access: yes, 1996
In this paper, a matrix formulation of fuzzy rule based systems is introduced. A gradient descent training algorithm for the determination of the unknown parameters can also be expressed in a matrix form for various adaptive fuzzy networks.
Lotfi, A, Andersen, HC, Tsoi, AC
core  

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