Results 101 to 110 of about 18,814 (304)

Maximal inequalities and some convergence theorems for fuzzy random variables [PDF]

, 2016
summary:Some maximal inequalities for quadratic forms of independent and linearly negative quadrant dependent fuzzy random variables are established. Strong convergence of such quadratic forms are proved based on the martingale theory.
Bozorgnia, Abolghasem, Ahmadzade, Hamed, Amini, Mohammad, Taheri, Seyed Mahmoud   +3 more
core   +1 more source

Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns

AIChE Journal, EarlyView.
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho, Akshay Kudva, Parth Shah, Dongheon Lee, Joseph Sang‐Il Kwon   +4 more
wiley   +1 more source

Representation of uncertain multichannel digital signal spaces and study of pattern recognition based on metrics and difference values on fuzzy n-cell number spaces

, 2009
In this paper, we discuss the problem of characterization for uncertain multichannel digital signal spaces, propose using fuzzy n-cell number space to represent uncertain n-channel digital signal space, and put forward a method of constructing such fuzzy
Shi, Peng, Wang, Guixiang, Messenger, P., Wang, G., Messenger, Paul, Shi, P.   +5 more
core   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Dealing with non-metric dissimilarities in fuzzy central clustering algorithms [PDF]

, 2008
Clustering is the problem of grouping objects on the basis of a similarity measure among them. Relational clustering methods can be employed when a feature-based representation of the objects is not available, and their description is given in terms of ...
Filippone, Maurizio, Filippone, M., Maurizio Filippone   +2 more
core   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

On the Convergence of Fuzzy Sets and the Completeness of the Space of Fuzzy Sets

Journal of Mathematical Analysis and Applications, 1993
The authors introduce several convergence concepts of fuzzy sets such as convergent in measure, convergent uniformly, \(\mu\)-uniform convergence and \(L^ p\)-convergent. After defining these concepts, the authors construct an embedding of the space of fuzzy sets in a normed linear space.
Zhang, D., Ouyang, H., Lee, E.S., Yager, R.R.   +3 more
openaire   +2 more sources

I2-?-statistically convergence of double sequences in fuzzy normed spaces

, 2019
In this paper, we have investigated I2-?-statistically convergence for double sequences in fuzzy normed linear spaces, where ? = (?r) and ? = (?s) be two non-decreasing sequences of positive real numbers, each tending to ? and such that ?r+1 ? ?r + 1, ?1
Kişi, Ömer
core   +1 more source

Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns

Advanced Intelligent Discovery, EarlyView.
Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer, André Orth, Robert Wang, Ben Breitung, Simon Schweidler, Jasmin Aghassi‐Hagmann, Markus Reischl   +6 more
wiley   +1 more source

Striving for Semantic Convergence with Fuzzy Cognitive Maps and Graph Databases

, 2017
The exponentially rising amounts of urban data demand new conceptual and technical methods for their management and storage. The era of the Semantic Web requires a convergence toward commonly shared meanings.
Edy Portmann, Myrach, Thomas, Sara D'Onofrio, Thomas Myrach, Marcel Wehrle, D'Onofrio, Sara, Wehrle, Marcel, Portmann, Edy   +7 more
core   +1 more source