Results 161 to 170 of about 9,592 (232)

STExplorer: Navigating the Micro-Geography of Spatial Omics Data

Zormpas E, Vlachogiannis NI, Resteu A, Unsworth A, Tual-Chalot S, Dorgau B, Queen R, Lako M, Tiniakos D, Comber A, Anstee QM, Giakountis A, Cockell SJ.   +12 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Evaluation of multivariate transductive neuro-fuzzy inference system for multivariate time-series analysis and modelling

Proceedings of the 5th International Conference on Sustainable Information Engineering and Technology, 2020
Multivariate Transductive Neuro-Fuzzy Inference System model, named the mTNFI is a previously proposed conceptual transductive approach designed for analysis and modelling of multivariate time-series data.
H. Widiputra
semanticscholar   +2 more sources

Optimal design of building environment with hybrid genetic algorithm, artificial neural network, multivariate regression analysis and fuzzy logic controller

Building and Environment, 2020
Computational cost poses a major obstacle to the design of indoor environments with the current optimal method and computational fluid dynamics (CFD).
Tianhu Zhang, Yuanjun Liu, Yandi Rao, Xiaopeng Li, Qingxin Zhao   +4 more
semanticscholar   +2 more sources

Refined composite multivariate multiscale fuzzy dispersion entropy: Theoretical analysis and applications

Chaos, Solitons & Fractals
M. Rostaghi, Reza Rostaghi, A. Humeau-Heurtier, Hamed Azami   +3 more
semanticscholar   +2 more sources

Leanness assessment and optimization by fuzzy cognitive map and multivariate analysis

Expert Systems with Applications, 2015
A new method to assess and optimize organizational leanness.Standard leanness measures from the body of the literature.Fuzzy cognitive map and multivariate analysis are used for evaluation.A number of packing and printing organizations are studied.The proposed analogy helps managers to assess the leanness. The strategy of organizational lean production
Ali Azadeh, Mansour Zarrin, Mohammad Abdollahi, Saeid Noury, Shabnam Farahmand   +4 more
openaire   +1 more source

Predicting diabetes with multivariate analysis an innovative KNN-based classifier approach.

Preventive Medicine, 2023
Diabetes seems to be a severe protracted disease or combination of biochemical disorders. A person's blood glucose (BG) levels remain elevated for an extended period because tissues lack and non-reaction to hormones.
B. Prasad, Sapna Gupta, Naiwrita Borah, R. Dineshkumar, H. Lautre, B. Mouleswararao   +5 more
semanticscholar   +1 more source

A multivariable fuzzy generalized predictive control approach and its performance analysis

Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), 1998
We use the Takagi-Sugeno fuzzy model to express nonlinear dynamic systems, and present a fast online identification algorithm. A multivariable fuzzy generalized predictive control approach is put forward based on the identified fuzzy model by means of Clark's principle of single-variable generalized predictive control. The steady state performances and
null Zhang Hua-Guang, null Zeungnam Bien
openaire   +1 more source

Stability and robustness analysis of uncertain multivariable fuzzy digital control systems

1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), 2002
Presents the stability and robustness analysis of digital fuzzy control systems subject to parameter uncertainties. To carry out the analysis, we first describe exactly a digital nonlinear system with parameter uncertainties with a fuzzy plant model. Second, a digital fuzzy controller is proposed to close the feedback loop.
F.H.F. Leung, H.K. Lam, P.K.S. Tam
openaire   +1 more source

Stability analysis and synthesis of multivariable fuzzy systems using interval arithmetic

Fuzzy Sets and Systems, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andújar, José M., Bravo, J. M., Peregrín, A.   +2 more
openaire   +1 more source

Exploring series of multivariate censored temporal data through fuzzy coding and correspondence analysis

Statistics in Medicine, 2005
AbstractWe present an exploratory analysis methodology for a multiple series of multivariate temporal data subject to censoring, and thus requiring the introduction of a coding technique: fuzzy coding preserving a large amount of the distributional information is fully adapted. Correspondence analysis is performed on the array produced by fuzzy coding.
Pardoux, Catherine, Goldfarb, Bernard
openaire   +3 more sources