Results 11 to 20 of about 246 (161)

Marchés immobiliers et zones critiques : une analyse du changement social en relation avec la dynamique des valeurs immobilières

open access: yes, 2016
International audienceIn a context of almost constant price growth during the last two decades in the greater Paris Region (Ile-de-France), this paper aims at presenting a spatial analysis of social changes as it translates into transactions and seller ...
Derambure-Dutel, Floriane   +6 more
core   +10 more sources

Handling uncertainty in rheological properties of green eggshell nanocomposites by a fuzzy-hybrid modeling approach: a comparative study

open access: yes, 2023
© 2023 IOP Publishing Ltd.Fuzzy regression is an attractive application due to its ability to solve problems in the absence of accurate mathematical models.
Albayrak, Fatma İnci   +7 more
core   +1 more source

Finite mixture biclustering of discrete type multivariate data [PDF]

open access: yes, 2018
Many of the methods which deal with clustering in matrices of data are based on mathematical techniques such as distance-based algorithms or matrix decomposition and eigenvalues.
Richard Arnold   +10 more
core   +1 more source

Random Fuzzy Sets [PDF]

open access: yes, 2007
It is well known that in decision making under uncertainty, while we are guided by a general (and abstract) theory of probability and of statistical inference, each specific type of observed data requires its own analysis. Thus, while textbook techniques
Xiang, Gang   +2 more
core   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

open access: yesIET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi   +4 more
wiley   +1 more source

MAGI3 Acts as an Intestinal Epithelial Gatekeeper in Inflammation‐Associated Colorectal Cancer by Suppressing the STAT3‐CCL2 Axis and TAM‐Mediated Immunosuppression

open access: yesAdvanced Science, EarlyView.
Our study identifies MAGI3 as an intestinal epithelial gatekeeper that restrains inflammation‐associated colorectal tumorigenesis but is itself suppressed under highly inflammatory conditions. MAGI3 deficiency activates the STAT3‐CCL2 signaling, thereby promoting TAM‐mediated immunosuppression and inflammation‐associated colorectal tumor progression ...
Yumeng Yang   +12 more
wiley   +1 more source

Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong   +5 more
wiley   +1 more source

The fuzzy approach to statistical analysis

open access: yes, 2006
For the last decades, research studies have been developed in which a coalition of Fuzzy Sets Theory and Statistics has been established with different purposes.
Kiers, Henk A. L.; id_orcid   +3 more
core   +1 more source

Advancing Environmental Sustainability: The Role of Artificial Intelligence in Monitoring, Predicting, and Controlling Sulfur Dioxide Emissions

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Air pollution from sulfur dioxide (SO2) emissions poses significant threats to environmental sustainability, public health, and climate change efforts. Despite advances in monitoring and regulatory frameworks, traditional methods often fall short in accuracy, scalability, and efficiency.
Turkan Kopac
wiley   +1 more source

Clustering multiply imputed multivariate high-dimensional longitudinal profiles

open access: yes, 2017
In this paper, we propose a method to cluster multivariate functional data with missing observations. Analysis of functional data often encompasses dimension reduction techniques such as principal component analysis (PCA).
Molenberghs, Geert   +7 more
core   +1 more source

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