Results 71 to 80 of about 57,111 (311)

Evolving Fuzzy Rule-based Classifiers from Data Streams [PDF]

open access: yes, 2008
A new approach to the online classification of streaming data is introduced in this paper. It is based on a self-developing (evolving) fuzzy-rule-based (FRB) classifier system of Takagi-Sugeno ( eTS) type.
Angelov, Plamen, Zhou, Xiaowei
core  

Three‐Dimensional Biomimetic Aerogel Conduits with Electro‐Ionic‐Immune Coupling Reverse the Pathological Cascade of Spinal Cord Injury

open access: yesAdvanced Functional Materials, EarlyView.
A biomimetic aerogel conduit was engineered from a nanofiber of gelatin/poly(l‐lactic acid) doped with polypyrrole nanoparticles, integrated with tannic acid and Mg2+. This “electro‐ionic‐immune” strategy mimicked spinal cord properties, reduced calcium overload, inflammation, oxidative damage, promoted neural stem cell differentiation, suppressed ...
Qingxiang Liu   +9 more
wiley   +1 more source

Fuzzy Network Analysis for Projects with High Level of Risks – Uncertainty in Time and Structure

open access: yesInternational Journal of Industrial Engineering and Production Research, 2011
In order to have better insight of project characteristics, different kinds of fuzzy analysis for project networks have been recently proposed, most of which consider activities duration as the main and only source of imprecision and vagueness, but as it
Reza Morovatdar   +2 more
doaj  

High‐Throughput Digital Decoding of Vascular Heterogeneity in Patient‐Specific Tumor Microenvironments

open access: yesAdvanced Healthcare Materials, EarlyView.
ABSTRACT Quantitative characterization of vascular heterogeneity in complex microphysiological systems (MPS), particularly within patient‐derived tumor microenvironments, remains a major challenge for scalable disease modeling and therapeutic evaluation.
Jungseub Lee   +9 more
wiley   +1 more source

A Fuzzy Pay-off Method for Real Option Valuation [PDF]

open access: yes
Real Options analysis offers interesting insights on the value of assets and on the profitability of investments, which has made real options a growing field of academic research and practical application.
József, Mezei   +2 more
core   +1 more source

Architectures of evolving fuzzy rule-based classifiers [PDF]

open access: yes, 2007
Prediction of the properties of the crude oil distillation side streams based on statistical methods and laboratory-based analysis has been around for decades. However, there are still many problems with the existing estimators that require a development
Angelov, Plamen   +3 more
core  

An approach to online identification of Takagi-Sugeno fuzzy models [PDF]

open access: yes, 2004
An approach to the online learning of Takagi-Sugeno (TS) type models is proposed in the paper. It is based on a novel learning algorithm that recursively updates TS model structure and parameters by combining supervised and unsupervised learning.
Angelov, Plamen   +3 more
core   +1 more source

Cellular Responses to Mechanical Cues Across Scales: From Fundamental Insights to Translational Potential

open access: yesAdvanced 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

New Method for Real Option Valuation Using Fuzzy Numbers [PDF]

open access: yes
Real option analysis offers interesting insights on the value of assets and on the profitability of investments, which has made real options a growing field of academic research and practical application. Real option valuation is, however, often found to
Collan, Mikael
core   +1 more source

Project scheduling under uncertainty using fuzzy modelling and solving techniques [PDF]

open access: yes, 2013
In the real world, projects are subject to numerous uncertainties at different levels of planning. Fuzzy project scheduling is one of the approaches that deal with uncertainties in project scheduling problem.
Masmoudi, Malek, Haït, Alain
core   +1 more source

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