Results 91 to 100 of about 670,776 (291)

Information Entropy and Co–entropy of Crisp and Fuzzy Granulations [PDF]

open access: yes, 2007
The standard approach to information entropy applied to partitions of a universe is equivalently formulated as the entropy of the corresponding crisp identity resolutions, interpreted as crisp granulations, by the corresponding characteristic functionals. Moreover, in this crisp context the co---entropy notion is introduced.
Bianucci, D   +2 more
openaire   +3 more sources

Biomimetic Nanoplatform for Dual Target Nano‐Metabolic Therapy in Diabetes‐Associated Biofilm Infections

open access: yesAdvanced Science, EarlyView.
A biomimetic GOx/Arg‐loaded nanoplatform produces nitric oxide through an in situ catalytic cascade reaction, enabling dual‐target metabolic regulation in diabetes‐associated biofilm infections. Bacterial metabolism is disrupted, and macrophage immunometabolism is reprogrammed, resulting in biofilm eradication, immune restoration, and enhanced ...
Mingzhang Li   +13 more
wiley   +1 more source

Fuzzy recurrence entropy

open access: yes, 2020
Recurrence is inherent in complex time series. Entropy of recurrence is utilized as a basis of nonlinear time-series analysis for quantifying characteristics and behaviors of dynamical systems.
Tuan D. Pham
core   +1 more source

On fuzzy-qualitative descriptions and entropy

open access: yesInternational Journal of Approximate Reasoning, 2016
Peer ...
Prats Duaygues, Francesc   +3 more
openaire   +3 more sources

Multiscale Spatial Fusion Feature‐Driven Characterization of Gastric Cancer Invasive Margins: A Multicenter Cohort Study for Preoperative Accurate Differentiation Between T4a and T4b Subtypes

open access: yesAdvanced Science, EarlyView.
This study develops a multi‐dimensional vision Transformer‐based model, GAVR, to accurately distinguish gastric cancer T4a/b stages preoperatively. Validated across multi‐center cohorts, it achieves excellent performance and significantly improves radiologists’ diagnostic accuracy, offering a promising tool for clinical decision‐making.
Guoliang Zheng   +20 more
wiley   +1 more source

Distance Based Entropy Measure of Interval-Valued Intuitionistic Fuzzy Sets and Its Application in Multicriteria Decision Making

open access: yesAdvances in Fuzzy Systems, 2018
Fuzzy entropy means the measurement of fuzziness in a fuzzy set and therefore plays a vital role in solving the fuzzy multicriteria decision making (MCDM) and multicriteria group decision making (MCGDM) problems.
Tabasam Rashid   +2 more
doaj   +1 more source

Charting the Future of Stereoselective Carbohydrate Synthesis: The Essential Role of Cross‐Disciplinary Innovation

open access: yesAdvanced Science, EarlyView.
Cross‐disciplinary endeavors are blossoming across the broad chemical sciences. This perspective provides a glimpse into the rewarding interdisciplinary journey taken by the Charles Loh research group in pioneering the σ‐hole based catalytic glycosylation strategy.
Charles C. J. Loh
wiley   +1 more source

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

open access: yesAdvanced Science, EarlyView.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li   +10 more
wiley   +1 more source

Entropy based Multi-objective Matrix Game Model with Fuzzy Goals

open access: yes, 2019
[[abstract]]Game theory is the study of human conflict and cooperation within a competitive situation. Many real conflict problems can be modeled as games.
Bablu Samanta
core  

Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter [PDF]

open access: yes, 2011
When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this
Jose Manuel Andujar Marquez   +11 more
core   +1 more source

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