Results 81 to 90 of about 117,911 (316)
A Fuzzy Modal Logic for Fuzzy Transition Systems
Electronic Notes in Theoretical Computer Science, 2020 Abstract This paper intends to contribute with a new fuzzy modal logic to model and reason about transition systems involving uncertainty in behaviours. Our formalism supports fuzziness at transitions and on the proposition symbols assignment levels. Against of other approaches in the literature, our bisimulation and bisimilarity notions generalise ...
Manisha Jain +2 more
openaire +2 more sources
Fuzzy clustering for finding fuzzy partitions of many-valued attribute domains in a concept analysis perspective [PDF]
, 2009 Although an overall knowledge discovery process consists of a distinct pre-processing stage followed by the data mining step, it seems that existing formal concept analysis (FCA) and association rules mining (ARM) approaches, dealing with many-valued ...
Prade, Henri +5 more
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Advanced Healthcare Materials, EarlyView.This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz +9 more
wiley +1 more source
Necessity Analysis of Fuzzy Regression Equations using a Fuzzy Goal Programming Model [PDF]
, 2010 In this study, using necessity analysis, we located a fuzzy regression interval that is possibly included in collected interval data by reducing the effect of fluctuating points.
曹銳勤; Tsaur, Ruey-chyn
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Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
BEHAVIOR BASED CONTROL AND FUZZY Q-LEARNING FOR AUTONOMOUS FIVE LEGS ROBOT NAVIGATION [PDF]
, 2009 This paper presents collaboration of behavior based control and fuzzy Q-learning for five legs robot navigation systems. There are many fuzzy Q-learning algorithms that have been proposed to yield individual behavior like obstacle avoidance, find target ...
Adil, Ratna
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Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes
Advanced Materials, EarlyView.Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti +11 more
wiley +1 more source
Conductive Hydrogels for Exogenous Sensing and Cell Fate Control
Advanced Materials, EarlyView.We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar +15 more
wiley +1 more source
Giant Orbital Rashba–Edelstein Effect in Crystalline Cu2O/Cu Heterostructures
Advanced Materials, EarlyView.An enhanced orbital Rashba–Edelstein effect is demonstrated in a crystalline Cu2O/Cu heterostructure, compared to naturally oxidized CuOx structures, highlighting the critical role of crystallinity and interface control in orbital torque generation. The resulting spin torque conductivity exceeds that of Pt, indicating the potential of orbital torque ...
San Ko +10 more
wiley +1 more source
Advanced inference in fuzzy systems by rule base compression [PDF]
, 2007 This paper describes a method for rule base compression of fuzzy systems. The method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system by removing the redundancy in the fuzzy rule base.
Gegov, N. +2 more
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